JP2019192107A - Management device and program for management device - Google Patents

Abstract

To accurately grasp a factor of a failure caused in a production line.SOLUTION: A management server for managing a production line LN for producing a product BP, comprises: an acquisition unit that acquires production line information including: equipment information about one or more pieces of equipment R[m] in a plurality of steps S[m] included in the production line LN; worker information about one or more workers H[m] in the plurality of steps S[m]; and member information about a member B formed in a process of producing the product BP in the production line LN; a delay step specifying unit that, in a case where estimated and actual results of the production of the product BP in the production line LN deviate from each other, specifies a delay step, which is a factor of the deviation of the estimated and actual results, from among the plurality of steps S[m] included in the production line LN on the basis of the production line information; and a delay factor determination unit that determines a factor of the delay in the delay step on the basis of the production line information.SELECTED DRAWING: Figure 2

Description

  The present invention relates to a management device and a program for the management device.

  Conventionally, various management devices for managing a production line for producing products have been proposed. For example, Patent Document 1 unifies the functions of each of the plurality of facilities provided in the production line by displaying the functions of each of the plurality of facilities provided in the production line on the display device. The technology that makes it manageable is described.

JP2012-123445A

  By the way, in the production line, for example, a delay may occur in the production of a product, or various problems may occur such as a product having a quality lower than a desired quality is produced. In order to smoothly produce products on the production line, when a problem occurs in the production line, it is necessary to grasp the cause of the problem and quickly respond to the problem. However, the trouble that occurs in the production line may be caused by factors other than equipment in the production line. For this reason, a management device that manages only information related to equipment on the production line, as in the conventional technology, cannot accurately and quickly grasp the cause of a failure that occurs on the production line, and identifies the root cause at a high cost. There was a need to do.

  The present invention has been made in view of the circumstances described above, and as one of the solution problems, the provision of a technology that makes it possible to accurately grasp the cause of a failure that occurs in a production line as compared with the prior art. To do.

  In order to solve the above problems, a management apparatus according to the present invention is a management apparatus for managing a production line for producing a product, and equipment information relating to one or a plurality of facilities in a plurality of steps included in the production line. Acquisition of production line information including worker information relating to one or more workers in the plurality of steps and member information relating to intermediate products generated in the process of producing the product in the production line A delay process that causes the deviation of the actual outcome among a plurality of processes included in the production line based on the production line information. And a determination unit that determines a cause of delay in the delay process based on the production line information.

According to this invention, since the acquisition unit acquires the worker information and the member information in addition to the facility information, the acquisition unit causes the delay in the production of the product compared to the case where the acquisition unit acquires only the facility information. It becomes possible to accurately specify the delay process.
In addition, according to the present invention, since the acquisition unit acquires the worker information and the member information in addition to the facility information, the acquisition unit acquires the delay in the delay process as compared with the case of acquiring only the facility information. It is possible to accurately determine the cause.

  In the management device described above, the member information may indicate a position of the intermediate product, and the specifying unit may specify the delay process based on the member information.

  According to this aspect, since the specifying unit specifies the delay process based on the member information, for example, the administrator of the management device analyzes the facility information, thereby comparing with the case of specifying the delay process. The delay process can be easily and quickly specified.

  In the management device described above, the facility information indicates a position and a state of the one or more facilities, the worker information indicates a position and a state of the one or more workers, and the determination unit Based on the facility information, based on the first determination to determine whether or not the delay in the delay step is caused by the state of the facility corresponding to the delay step, the facility information and the worker information, Based on the second determination for determining whether or not the delay in the delay process is caused by the position of the worker corresponding to the delay process based on the equipment corresponding to the delay process, and the worker information , A third determination for determining whether or not the delay in the delay process is caused by an operator's state corresponding to the delay process, the first determination and the second determination And the third Constant, by executing a part or all, determines the cause of the delay in the delay step, it may be characterized in that.

  According to this aspect, the determination unit determines the cause of the delay in the delay process by executing the first determination, the second determination, and the third determination. However, by analyzing the facility information, it is possible to easily and quickly determine the cause of the delay as compared with the case of determining the cause of the delay in the delay process.

  In the management device described above, when the result of the first determination is affirmative and the result of the second determination is affirmative, the determination unit determines that the delay in the delay step is determined by the operator. It may be characterized in that it is determined that the failure caused by the facility is not properly handled.

  According to this aspect, in the case where the worker's failure to deal with the malfunctions in the equipment results in a deviation in the product production forecast on the production line, the cause of the deviation in the forecast is determined. It becomes possible to grasp.

  In the management device described above, when the result of the first determination is affirmative, the result of the second determination is negative, and the result of the third determination is affirmative, the determination unit It may be characterized in that it is determined that the delay in the process is caused by the operator's ability to cope with a failure occurring in the facility.

  According to this aspect, in the case where a worker's ability to cope with a failure that occurs in equipment has caused a deviation in the product production forecast on the production line, the cause of the deviation in the forecast is grasped. Is possible.

  When the result of the second determination is affirmative or when the result of the third determination is affirmative, the management device described above is an operator different from the one operator corresponding to the delay process. And the selection unit for selecting other workers not corresponding to the delay process, and when the worker corresponding to the delay process is changed from the one worker to the other worker, And a divergence determination unit that determines whether or not the suppression is suppressed.

  According to this aspect, when changing the worker in charge of the delay process, it is possible to determine whether or not the deviation of the product production in the production line can be suppressed. For this reason, according to this aspect, it becomes possible to suppress in advance the change of the worker that increases the deviation of the pre-production of the product in the production line.

  The management device described above proposes that the worker corresponding to the delay process is changed from the one worker to the other worker when the result of the determination in the divergence determining unit is affirmative It is good also considering having these.

  According to this aspect, it is possible to change the worker so as to suppress the deviation of the product production in the production line.

  Further, the management device according to the present invention is a management device for managing a production line for producing a product, the facility information indicating the state of one or a plurality of facilities in a plurality of processes included in the production line, and the plurality Worker information indicating the state of one or a plurality of workers in the process, quality of the product, and member information indicating the state of the intermediate product generated in the process of producing the product in the production line, An acquisition unit that acquires production line information including: a plurality of products included in the production line with respect to a decrease in the quality of the product based on the production line information when the quality of the product is lower than a predetermined quality A calculation unit that calculates the degree of influence of each process, and a product that causes a decrease in the quality of the product among a plurality of processes included in the production line based on the calculation result of the calculation unit And a specifying unit configured to specify a decrease step, characterized in that.

  According to this invention, the calculation unit calculates the degree of influence on the deterioration of the product quality in each of the plurality of processes based on the worker information in addition to the facility information, and the specific unit calculates the calculation unit Based on the result, the quality degradation process that causes the quality degradation of the product is identified. Therefore, according to the present invention, for example, the manager of the management apparatus can identify the quality degradation process more accurately and quickly than the case of identifying the quality degradation process by analyzing the facility information. It becomes possible.

  In the management device described above, the calculation unit causes each of the plurality of steps to reduce the quality of the product based on the facility information, due to the state of the facility corresponding to each of the plurality of steps. Based on the fourth determination for determining whether or not and the worker information corresponding to each of the plurality of processes based on the worker information, each of the plurality of processes is the quality of the product Calculating the degree of influence of each of the plurality of steps included in the production line with respect to the deterioration of the quality of the product by executing at least one of the fifth determination for determining whether or not to reduce This may be a feature.

  According to this aspect, the calculation unit performs the fourth determination and the fifth determination to calculate the degree of influence on the deterioration of the product quality in each of the plurality of steps, and the specific unit calculates Based on the calculation result of the part, the quality degradation process is specified. For this reason, according to this aspect, for example, the manager of the management apparatus can identify the quality degradation process accurately and quickly by analyzing the facility information as compared with the case of identifying the quality degradation process. It becomes possible.

  The management apparatus according to the present invention is a management apparatus that manages a production line that produces products, and includes facility information that indicates positions and states of one or a plurality of facilities in the production line, and 1 or 2 in the production line. Worker information indicating positions of a plurality of workers, and member information indicating positions and states of one or more intermediate products generated in the process of producing one or more products in the production line. An acquisition unit that acquires production line information; and based on the production line information, the position of the one or more facilities in part or all of a production period from the start of production of the product to completion of the product At least one of a change and a change in state, a change in the position of the one or more workers in a part or all of the production period, a part of the production period, or A generation unit that generates reproduction information for reproducing at least a part of at least one of a change in position and a change in state of the one or more intermediate products in the display unit. It is characterized by that.

According to this invention, since the acquisition unit acquires the worker information and the member information in addition to the facility information, the acquisition unit is more accurately in the state of the production line than when the acquisition unit acquires only the facility information. Can be grasped.
Moreover, according to this invention, a production | generation part produces | generates the reproduction information for reproducing the change of the state of a production line in the aspect which can be visually recognized in a display part based on production line information. For this reason, according to the present invention, for example, the administrator of the management device analyzes the facility information, so that the problem that occurs in the production line more easily than in the case of grasping the change in the state of the production line. It becomes possible to judge.

  The management apparatus described above includes a reception unit that receives a first instruction for designating one worker from the one or more workers in the production line, and the generation unit is based on the production line information. Generating a first reproduction information for reproducing, on a display unit, a change in position of the one worker indicated by the first instruction in a part or all of the production period. .

  According to this aspect, a production | generation part produces | generates the 1st reproduction information for reproducing the change of the position of one worker in the aspect which can be visually recognized in a display part based on production line information. For this reason, according to this aspect, for example, the manager of the management device can more easily change the position of one worker as compared to the case where the change in the position of one worker is grasped from the facility information. Can be grasped.

  The management device described above includes a reception unit that receives a second instruction for designating one product from the one or a plurality of products produced in the production line, and the generation unit includes the production line information. On the basis of at least a change in position and a change in a state in a part or all of the production period of the intermediate product generated in the process of producing the one product indicated by the second instruction in the production line. One of them may be characterized by generating second reproduction information for reproduction on the display unit.

  According to this aspect, a production | generation part produces | generates the 2nd reproduction information for reproducing the change of the position and state of an intermediate product in the aspect which can be visually recognized in a display part based on production line information. Therefore, according to this aspect, for example, the manager of the management device can more easily change the position of the intermediate product than the case where the manager recognizes the change in the position and state of the intermediate product from the facility information. Can be grasped.

  The management device described above includes a reception unit that receives a third instruction that specifies one facility from the one or more facilities in the production line, and the generation unit is based on the production line information. Generating third reproduction information for reproducing at least one of a change in position and a change in state in part or all of the production period of the one facility indicated by the third instruction on a display unit; This may be a feature.

  According to this aspect, a production | generation part produces | generates the 3rd reproduction information for reproducing the change of the position and state of one installation in the aspect which can be visually grasped | ascertained in a display part based on production line information. Therefore, according to this aspect, for example, the manager of the management device can more easily change the position of one facility than the case where the facility information grasps the change in the position and state of the one facility. Can be grasped.

  The management device described above includes a display control unit that causes the display unit to display a virtual space in which the production line is reproduced, and the display control unit is configured to display the first space in the virtual space based on the reproduction information. Alternatively, one or a plurality of facility images for displaying a plurality of facilities are changed so as to represent at least one of a change in position and a change in state of the one or more facilities in a part or all of the production period. The one or more worker images for displaying the one or more workers in the virtual space represent a change in the position of the one or more workers in part or all of the production period. The product image for displaying the one or more intermediate products in the virtual space is changed to a part or all of the production period. The number of intermediate products, the change in the change and state of location, varied to represent at least one, may be characterized in that.

  According to this aspect, the display control unit displays an image representing a change in the state of the production line in the virtual space based on the production line information. Therefore, according to this aspect, for example, the manager of the management device can easily change the state of the production line as compared with the case of grasping the change of the state of the production line by analyzing the facility information. Can be grasped.

  Further, the management device program according to the present invention is a management device program that includes a processor and manages a production line that produces a product, and the processor is one or more of the steps included in the production line. Production including equipment information on a plurality of equipment, worker information on one or more workers in the plurality of steps, and member information on an intermediate product generated in the process of producing the product in the production line If the acquisition unit for acquiring line information and the production forecast of the product in the production line deviate, based on the production line information, among the plurality of processes included in the production line, The cause of delay in the delay process is determined based on the specific unit that identifies the delay process to be and the production line information. A determination unit, is to function, and wherein the.

According to this invention, it becomes possible for the acquisition unit to accurately specify a delay process that causes a delay in the production of a product, as compared with a case where only the facility information is acquired.
Moreover, according to this invention, compared with the case where an acquisition part acquires only installation information, it becomes possible to determine the cause of the delay in a delay process correctly.

  Further, the management device program according to the present invention is a management device program that includes a processor and manages a production line that produces a product, and the processor is one or more of the steps included in the production line. Generated in the course of producing the product on the production line, equipment information indicating the state of a plurality of equipment, worker information indicating the state of one or a plurality of workers in the plurality of processes, the quality of the product, and the production line An acquisition unit that acquires production line information including a member information indicating a state of the intermediate product to be produced, and when the quality of the product is lower than a predetermined quality, based on the production line information, A calculation unit that calculates the degree of influence of each of a plurality of processes included in the production line with respect to a decrease in quality, and the production line based on a calculation result of the calculation unit Among a plurality of steps included, a specifying unit for specifying a degradation process that causes degradation of the quality of the product, is to function, and wherein the.

  According to the present invention, for example, the manager of the management device can identify the quality degradation process more accurately and quickly than the case of identifying the quality degradation process by analyzing the facility information. .

  Further, the management device program according to the present invention is a management device program that includes a processor and manages a production line that produces a product, wherein the processor includes a position of one or a plurality of facilities in the production line, and Facility information indicating a state, worker information indicating the position of one or more workers on the production line, and one or more intermediate generations generated in the process of producing one or more products on the production line A part of a production period from start of production of the product to completion of the product based on the production line information, an acquisition unit that obtains production line information including member information indicating a position and a state of an object, or In all, at least one of a change in position and a change in state of the one or more facilities, and in part or all of the production period, At least a part of a change in position of one or more workers and at least one of a change in position and a change in state of the one or more intermediate products in part or all of the production period Is made to function as a generation unit that generates reproduction information for reproduction on the display unit.

According to this invention, it becomes possible for an acquisition part to grasp | ascertain the state of a production line more correctly compared with the case where only an installation information is acquired.
In addition, according to the present invention, for example, the administrator of the management device can easily determine a defect that occurs in the production line as compared with the case where the change in the state of the production line is grasped by analyzing the facility information. It becomes possible to do.

It is a block diagram which shows an example of a structure of the production system SYS which concerns on 1st Embodiment of this invention. It is explanatory drawing for demonstrating an example of the production line LN. 2 is a block diagram illustrating an example of a configuration of a management server 1. FIG. It is a figure which shows an example of a data structure of equipment basic information table TBL1. It is a figure which shows an example of a data structure of equipment position information table TBL2. It is a figure which shows an example of a data structure of equipment status information table TBL3. It is a figure which shows an example of a data structure of worker basic information table TBL4. It is a figure which shows an example of a data structure of worker position information table TBL5. It is a figure which shows an example of a data structure of worker state information table TBL6. It is a figure which shows an example of a data structure of process information table TBL7. It is a figure which shows an example of a data structure of member information table TBL8. It is a figure which shows an example of a data structure of schedule information table TBL9. 2 is a diagram illustrating an example of a hardware configuration of a management server 1. FIG. It is a flowchart which shows an example of a management process. It is a flowchart which shows an example of a quality degradation factor analysis process. It is a flowchart which shows an example of a delay factor analysis process. It is a flowchart which shows an example of an equipment condition analysis process. It is a flowchart which shows an example of an operator situation analysis process. It is a flowchart which shows an example of a quality improvement policy formulation process. It is a flowchart which shows an example of a schedule improvement policy formulation process. It is a block diagram showing an example of composition of management server 1A concerning a 2nd embodiment. It is a flowchart which shows an example of the management process which concerns on 2nd Embodiment. It is a flowchart which shows an example of the quality improvement policy formulation process which concerns on 2nd Embodiment. It is a block diagram which shows an example of a structure of the management server 1B which concerns on 3rd Embodiment. It is a flowchart which shows an example of the management process which concerns on 3rd Embodiment. It is a flowchart which shows an example of the schedule improvement policy formulation process which concerns on 3rd Embodiment. It is a block diagram showing an example of composition of management server 1C concerning a 4th embodiment. It is explanatory drawing which shows the example of a display concerning 4th Embodiment. It is explanatory drawing which shows the example of a display concerning 4th Embodiment. It is explanatory drawing which shows the example of a display concerning 4th Embodiment.

  Hereinafter, embodiments for carrying out the present invention will be described with reference to the drawings. In each figure, the size and scale of each part are appropriately changed from the actual ones. Further, since the embodiments described below are preferable specific examples of the present invention, various technically preferable limitations are given. However, the scope of the present invention is particularly limited in the following description. Unless otherwise stated, the present invention is not limited to these forms.

<< A. First embodiment >>
Hereinafter, a first embodiment of the present invention will be described.

<< 1. Overview of production system >>
FIG. 1 is a diagram illustrating an example of a configuration of a production system SYS according to the present embodiment. Hereinafter, an example of the outline of the configuration of the production system SYS will be described with reference to FIG.

  As shown in FIG. 1, the production system SYS displays a production line LN for producing a product BP, a management server 1 for managing the production line LN (an example of a “management device”), and various types of information. A display device 7 having a display unit, an inspection device 8 for inspecting a product BP produced in the production line LN, one or more detection devices CM, one or more terminal devices TM, and each terminal An access point 9 capable of communicating with the device TM, an environmental information measuring device EV for measuring a physical quantity relating to the environment of the production line LN, and a network NW for connecting various components of the production system SYS to each other are provided.

The production line LN produces a product BP by performing various processes on the raw materials. In the following description, the product BP, the raw material for producing the product BP, and the intermediate product produced in the process of producing the product BP in the production line LN are collectively referred to as member B.
In the present embodiment, it is assumed as an example that the production line LN includes one or more facilities R and one or more workers H.

  Here, the equipment R is, for example, a processing device that processes the member B, a robot that assembles the member B, or an AGV (Automated Guided Vehicle) that transports the member B. This is a component of the production line LN for performing various processes.

In the present embodiment, the facility R periodically transmits facility operation report information indicating the operation state of the facility R to the management server 1. Moreover, in this embodiment, when the equipment R is a movable equipment R such as AGV, the equipment R periodically transmits equipment location report information indicating the location of the equipment R to the management server 1. To do.
Hereinafter, the equipment operation report information and the equipment position report information may be collectively referred to as equipment report information.
In the following, the movable equipment R may be referred to as a movable equipment, and the non-movable equipment R may be referred to as a fixed equipment. In the present embodiment, as an example, it is assumed that the production line LN includes one or more movable facilities and one or more fixed facilities. However, the present invention is not limited to such an embodiment, and the production line LN may include at least one of one or more movable facilities and one or more fixed facilities.

The terminal device TM is a portable electronic device that the worker H can carry. In the present embodiment, as an example, it is assumed that each worker H possesses one terminal device TM.
In the present embodiment, as an example, a case is assumed in which the terminal device TM has a function of specifying its own position. In this embodiment, the terminal device TM periodically transmits terminal position information indicating the specified self position to the management server 1 via the access point 9.
In the present embodiment, as an example, a case is assumed in which the terminal device TM has a function of detecting the biological information of the worker H carrying the terminal device TM. Here, the biological information of the worker H that can be detected by the terminal device TM is information indicating the physical condition of the worker H such as the pulsation of the worker H or the body temperature of the worker H. In the present embodiment, the terminal device TM periodically transmits the detected biological information to the management server 1 via the access point 9.
Hereinafter, the terminal location information and the biological information may be collectively referred to as terminal report information.

The detection device CM detects the presence of the member B when the member B is present in an area corresponding to the detection device CM in the production line LN. When detecting the presence of the member B, the detection device CM transmits detection result information indicating the detection result to the management server 1.
Specifically, for example, when the detection device CM includes an imaging function for imaging the production line LN and an image showing the member B in the image captured by the imaging function, the detection device CM And an extraction function for extracting an image to be shown.
The detection device CM may be capable of detecting the presence of the worker H in the production line LN in addition to the member B in the production line LN, and may be able to detect the presence of the equipment R in the production line LN. Also good.

  The inspection device 8 inspects the quality of the product BP produced in the production line LN, and generates inspection result information indicating the result of the inspection. Then, the inspection device 8 transmits the generated inspection result information to the management server 1.

Hereinafter, the detection result information and the inspection result information may be collectively referred to as member report information.
In the following, terminal report information, member report information, and facility report information may be collectively referred to as report information.

The environmental information measuring device EV periodically measures one or a plurality of physical quantities related to the environment in which the production line LN is provided, and transmits environmental information indicating the result of the measurement to the management server 1.
Here, the physical quantity relating to the environment is, for example, a part or all of the temperature, humidity, noise level, vibration level, and the like in the space where the production line LN is provided.

  FIG. 2 is an explanatory diagram for explaining the production line LN in the present embodiment. Hereinafter, an example of the outline of the configuration of the production line LN will be described with reference to FIG.

In the present embodiment, it is assumed that the production line LN includes M processes S [1] to S [M] (M is a natural number satisfying M ≧ 2).
Hereinafter, among one or a plurality of facilities R in the production line LN, the facility R corresponding to the process S [m] is referred to as a facility R [m], and among the one or more workers H in the production line LN. The worker H corresponding to the process S [m] is referred to as a worker H [m], and the member B output from the process S [m] among the members B in the production line LN is referred to as a member B [m]. (M is a natural number satisfying 1 ≦ m ≦ M).
In the following, when a plurality of products BP are generated in the production line LN, the nth product BP generated among the plurality of products BP is referred to as a product BP-n (n is n ≧ 1). Satisfying natural numbers). Hereinafter, when the product BP-n is produced in the production line LN, the member B output from the process S [m] is referred to as a member B-n [m].
In the following, a region corresponding to the process S [m] in the space where the production line LN is provided is referred to as a region Ar [m]. In the following, for convenience of explanation, an arbitrary position on the production line LN may be expressed as coordinates of a three-axis orthogonal coordinate system ΣL having an origin at a predetermined position in a space where the production line LN is provided.

FIG. 2 illustrates a case where the production line LN includes four steps S [1] to S [4] (that is, M = 4).
In FIG. 2, the process S [1] is a process of making a hole in the member B by the equipment R [1], and the process S [2] is a process of polishing the member B by the worker H [2]. Yes, the process S [3] is a process of transporting the member B by the equipment R [3], and the process S [4] is performed by the operator H [4] operating the equipment R [4]. The case where it is the process of assembling B and another member is illustrated.

<< 2. Management Server Overview >>
Hereinafter, an outline of the management server 1 will be described with reference to FIGS. 3 to 13.

<< 2.1. Overview of management server functions >>
FIG. 3 is a functional block diagram illustrating an example of a functional configuration of the management server 1.

  As shown in FIG. 3, the management server 1 communicates between a control unit 10 that controls each unit of the management server 1, a storage unit 20 that stores various types of information, and external devices such as the display device 7 and the equipment R. A communication unit 30 for executing the operation, an operation unit 40 for receiving an operation by an operator of the management server 1, and an information reading unit 50 for reading information from a recording medium such as an optical disk.

  As shown in FIG. 3, the control unit 10 includes an acquisition unit 11, a process identification unit 12, a delay cause determination unit 13, an influence degree calculation unit 14, an alternative worker selection unit 15, and an influence determination unit 16. The alternative worker proposing unit 17 is provided.

The acquisition unit 11 acquires report information. Specifically, the acquisition unit 11 includes terminal report information transmitted from the terminal device TM, member report information transmitted from the detection device CM and the inspection device 8, and facility report information transmitted from the facility R. get.
And the acquisition part 11 is based on report information, the worker position information (refer FIG. 8) which shows the position of the worker H in the production line LN, and the worker state information which shows the state of the worker H (FIG. 9). Reference), member position information (see FIG. 11) indicating the position of the member B in the production line LN, member state information (see FIG. 11) indicating the state of the member B, and the position of the equipment R in the production line LN. The equipment position information shown (see FIG. 5) and the equipment state information (see FIG. 6) showing the state of the equipment R are generated, and the generated information is stored in the storage unit 20.

Hereinafter, information including worker position information, worker state information, and basic worker information (see FIG. 7) described later may be referred to as worker information. Although details will be described later, the basic worker information is information stored in the storage unit 20.
Hereinafter, information including member position information and member state information may be referred to as member information.
In the following, information including equipment location information, equipment status information, and equipment basic information (see FIG. 4) described later may be referred to as equipment information. Although details will be described later, the facility basic information is information stored in the storage unit 20.
In the following, information including worker information, member information, facility information, environmental information, process information (see FIG. 10) described later, and schedule information (see FIG. 12) described later is produced. Sometimes referred to as line information.

  The acquisition unit 11 acquires production line information from the storage unit 20 when the management server 1 executes a management process for managing the production line LN.

The process specifying unit 12 includes a quality degradation process specifying unit 121 and a delay process specifying unit 122.
When the quality of the product BP is lower than the predetermined quality, the quality lowering process specifying unit 121 determines that the quality is reduced from the processes S [1] to S [M] based on the production line information. Identify the quality degradation process.
When a delay occurs in the production of the product BP in the production line LN, the delay process specifying unit 122 causes the delay from the processes S [1] to S [M] based on the production line information. Identify the delay process.

  The delay cause determination unit 13 determines the cause of the delay based on the production line information when a delay occurs in the production of the product BP in the production line LN.

The influence degree calculation unit 14 includes a quality influence degree calculation part 141 and a schedule influence degree calculation part 142.
Based on the production line information, the quality influence degree calculation unit 141 calculates a quality influence degree α [m] that is the magnitude of the influence of the process S [m] on the quality degradation of the product BP.
The schedule influence degree calculation unit 142 is a schedule influence degree β [m], which is the magnitude of the influence of the process S [m] on the production delay of the product BP in the production line LN based on the production line information. Is calculated.

The substitute worker selection unit 15 determines the work in the process S [m] when the deterioration of the quality of the product BP is caused by the worker H [m] performing the work in the process S [m]. An alternative worker H [m ⁺ ] that can be performed instead of H [m] is selected (m ⁺ is a natural number other than m satisfying 1 ≦ m ⁺ ≦ M).
Further, the alternative worker selecting unit 15 performs the process S [m] when the production delay of the product BP in the production line LN is caused by the worker H [m] who is performing the work in the process S [m]. The alternative worker H [m ⁺ ] is selected, which can perform the work in place of the worker H [m].

The influence determination unit 16 includes a quality influence determination unit 161 and a schedule influence determination unit 162.
The quality influence determining unit 161 improves the quality of the product BP when the worker H who is in charge of the work in the process S [m] is changed from the worker H [m] to the alternative worker H [m ⁺ ]. It is determined whether or not.
The schedule influence determination unit 162 changes the worker H in charge of the process S [m] from the worker H [m] to the substitute worker H [m ⁺ ], and changes the product BP in the production line LN. It is determined whether or not production delay is suppressed.

The substitute worker proposing unit 17 is a task in charge of work in the process S [m] when the result of the determination by the quality influence determining unit 161 is affirmative or when the result of determination by the schedule influence determining unit 162 is affirmative. A proposal is made to change the worker H from the worker H [m] to the alternative worker H [m ⁺ ].

<< 2.2. Overview of data stored in the management server >>
As shown in FIG. 3, the storage unit 20 includes an equipment basic information table TBL1, equipment position information table TBL2, equipment state information table TBL3, worker basic information table TBL4, worker position information table TBL5, work The person state information table TBL6, the process information table TBL7, the member information table TBL8, the schedule information table TBL9, the environment information table TBL10, and the control program PRG of the management server 1 are stored.

  FIG. 4 is a diagram showing an example of the data configuration of the equipment basic information table TBL1.

  As illustrated in FIG. 4, the facility basic information table TBL1 has one or more records corresponding to one or more facilities R existing on the production line LN on a one-to-one basis. Each record of the equipment basic information table TBL1 stores equipment ID and equipment basic information.

Here, the facility ID is information for uniquely identifying each facility R from one or a plurality of facilities R existing in the production line LN.
The basic equipment information includes, for example, the equipment name that is the name of each equipment R, the process information that represents the process S [m] corresponding to each equipment R, and each equipment R is a fixed equipment or a movable equipment. This information includes information indicating whether or not the vehicle is movable, and operation start time information indicating the time when each facility R is introduced into the production line LN and starts operating.

  FIG. 5 is a diagram illustrating an example of a data configuration of the equipment position information table TBL2.

  As illustrated in FIG. 5, the equipment location information table TBL2 includes one or more records corresponding to one or more fixed equipment existing in the production line LN and one or more records existing in the production line LN. One or a plurality of records corresponding to all the facility report information transmitted from a plurality of movable facilities one-to-one. Each record of the equipment location information table TBL2 stores equipment location management ID and equipment location information.

Here, the facility location management ID uniquely identifies each fixed facility from one or more fixed facilities existing on the production line LN, and one or more movable facilities existing on the production line LN. This is information for uniquely identifying each piece of equipment location report information from all pieces of equipment location report information transmitted from.
The facility position information indicates, for example, a facility ID corresponding to each facility R, facility location information indicating the coordinates of each facility R on the production line LN, and an area Ar [m] where each facility R exists. Equipment presence area information. When the facility R is a movable facility, the facility location information includes the time when the facility R transmits the facility location report information. Further, when the facility R is a movable facility, the facility location information included in the facility location information indicates the location of the facility R represented by the facility location report information, and the facility presence area information included in the facility location information is The area Ar [m] including the position of the facility R represented by the facility position report information is shown.

When the fixed equipment is introduced into the production line LN, the acquisition unit 11 creates a new record for the equipment position information table TBL2, and the equipment indicating the position of the introduced fixed equipment with respect to the new record. Store location information.
When acquiring the equipment location report information transmitted from the movable equipment, the acquisition unit 11 creates a new record for the equipment location information table TBL2, and displays the new record with the equipment location report information. The equipment position information indicating the position of the movable equipment to be moved is stored.

  FIG. 6 is a diagram illustrating an example of a data configuration of the equipment state information table TBL3.

  As illustrated in FIG. 6, the equipment state information table TBL3 includes one or more pieces of one-to-one correspondence with all pieces of equipment operation report information transmitted from one or more pieces of equipment R existing in the production line LN. Have a record. Each record of the equipment state information table TBL3 stores equipment state management ID and equipment state information.

Here, the equipment state management ID is information for uniquely identifying each equipment operation report information from all equipment operation report information transmitted from one or a plurality of equipment R existing in the production line LN. It is.
The equipment state information is, for example, the equipment ID corresponding to the equipment R that transmitted the equipment operation report information, the time when the equipment R transmitted the equipment operation report information, and the equipment R represented by the equipment operation report information. Equipment operation information indicating the state of In the present embodiment, the facility operation information includes a value indicating that the operation of the facility R is “normal”, a value indicating that the operation of the facility R is “unstable”, a failure of the facility R, etc. Indicates one of the three values of the value indicating “abnormal stop”.

  When acquiring the equipment operation report information transmitted from the equipment R, the acquisition unit 11 creates a new record for the equipment state information table TBL3, and the new record is represented by the equipment operation report information. The equipment state information indicating the state of the equipment R is stored.

  FIG. 7 is a diagram illustrating an example of a data configuration of the worker basic information table TBL4.

  As illustrated in FIG. 7, the worker basic information table TBL4 has one or more records corresponding to one or more workers H existing on the production line LN. Each record of the worker basic information table TBL4 stores a worker ID and worker basic information.

Here, the worker ID is information for uniquely identifying each worker H from one or more workers H existing in the production line LN.
The worker basic information is, for example, the name of each worker H, the process information indicating the process S [m] that each worker H is in charge of, and the skills related to the production of the product BP of each worker H. Information including worker skill information indicating a level.

  FIG. 8 is a diagram illustrating an example of a data configuration of the worker position information table TBL5.

  As illustrated in FIG. 8, the worker position information table TBL5 has one or more one-to-one correspondences with all terminal position information transmitted from one or more terminal devices TM existing on the production line LN. Have records. Each record of the worker position information table TBL5 stores a worker position management ID and worker position information.

Here, the worker position management ID is information for uniquely identifying each terminal position information from all the terminal position information transmitted from one or a plurality of terminal devices TM existing in the production line LN. It is.
The worker position information is, for example, the worker ID of the worker H carrying the terminal device TM that transmitted the terminal position information, the time when the terminal device TM transmitted the terminal position information, and the terminal position information. The position of the terminal device TM represented, that is, the worker presence position information indicating the position of the worker H carrying the terminal device TM, and the area Ar [ and the worker presence area information indicating [m].

  When acquiring the terminal position information transmitted from the terminal device TM, the acquiring unit 11 creates a new record for the worker position information table TBL5, and the new record is represented by the terminal position information. The worker position information indicating the position of the worker H is stored.

  FIG. 9 is a diagram illustrating an example of a data configuration of the worker state information table TBL6.

  As illustrated in FIG. 9, the worker status information table TBL6 includes one or a plurality of one-to-one correspondences with all the biological information transmitted from one or a plurality of terminal devices TM existing in the production line LN. Have a record. Each record of the worker status information table TBL6 stores a worker status management ID and worker status information.

Here, the worker state management ID is information for uniquely identifying each biological information from all the biological information transmitted from one or a plurality of terminal devices TM existing in the production line LN. .
Further, the worker status information is represented by, for example, the worker ID of the worker H carrying the terminal device TM that transmitted the biological information, the time when the terminal device TM transmitted the biological information, and the biological information. This is information including worker physical condition information indicating the state of the worker H. In this embodiment, the worker physical condition information is a value indicating that the physical condition of the worker H is “good”, and the physical condition of the worker H is “bad” to the extent that the work efficiency of the worker H is reduced. It is assumed to indicate one of three values: a value indicating that there is a certain value and a value indicating that the physical condition of the worker H is “abnormal” to the extent that the operation by the worker H is difficult.

  When acquiring the biometric information transmitted from the terminal device TM, the acquiring unit 11 creates a new record for the worker state information table TBL6, and the work represented by the biometric information for the new record. The worker state information indicating the state of the worker H is stored.

  FIG. 10 is a diagram illustrating an example of a data configuration of the process information table TBL7.

  As illustrated in FIG. 10, the process information table TBL7 has M records corresponding to M processes S [1] to S [M] existing on the production line LN on a one-to-one basis. Each record of the process information table TBL7 stores a process ID and process information.

Here, the process ID is information for uniquely identifying each process S [m] from the M processes S [1] to S [M] existing in the production line LN.
Further, the process information includes, for example, work contents in the process S [m], process position information indicating the position of the process S [m] in the production line LN, and the equipment R and the worker H in the process S [m]. The process resource information indicating whether or not the process exists, the process difficulty level information indicating the difficulty level of the process S [m], and the maximum length of time allowed for work on one member B in the process S [m]. The process execution allowable time Tth [m].
Among these, the process position information includes, for example, process corresponding area information indicating the area Ar [m] corresponding to the position of the process S [m] in the production line LN, and the existence position (existence range) of the area Ar [m]. The region position information expressed in the coordinate system ΣL, the process start position information indicating the position where the member B is present when the work related to the process S [m] for the member B is started, and the process S [m for the member B The process end position information indicating the position where the member B is present when the work related to is completed.
The process resource information includes, for example, equipment presence / absence information indicating whether or not equipment R [m] corresponding to the process S [m] exists, and an operator H [m] corresponding to the process S [m]. This information includes worker presence / absence information indicating whether or not it exists.

  FIG. 11 is a diagram illustrating an example of a data configuration of the member information table TBL8.

  As illustrated in FIG. 11, the member information table TBL8 has one or a plurality of records corresponding to all the member report information transmitted from the detection device CM or the inspection device 8 on a one-to-one basis. Each record of the member information table TBL8 stores a member information management ID and member information.

Here, the member information management ID is information for uniquely identifying each member report information from all the member report information transmitted from the detection device CM or the inspection device 8.
Further, the member information is for uniquely identifying the member B-n to be reported by the member report information from among the plurality of members B corresponding to the plurality of products BP produced on the production line LN. The member ID, the time when the detection device CM or the inspection device 8 transmits the member report information, the member position information indicating the position of the member B-n represented by the member report information, and the member report information. Member state information indicating the state of the member B-n to be processed.

  Among these, the member state information includes, for example, member existence process information indicating the process S [m] in which the member B-n to be reported by the member report information exists, and the member B− in the process S [m]. This is information including in-process work progress information indicating the work progress status for n and member quality information indicating the quality of the member B-n represented by the member report information.

In the present embodiment, the in-process work progress information is a value indicating that the work on the member B-n in the process S [m] is about to be started, and the work on the member B-n in the process S [m]. It is assumed to indicate one of three values: a value indicating “in execution” and a value indicating that the work on the member B-n in the step S [m] is “finished”.
Hereinafter, the time at which the work on the member B is started in the process S [m] is referred to as a process start time Tin [m], and the time at which the work on the member B is finished in the process S [m] The time from the process start time Tin [m] to the process end time Tout [m] may be referred to as a process execution time Twk [m].
In this embodiment, the member quality information is a value indicating that the quality of the member B-n is “normal”, and the quality of the member B-n is “abnormal”, that is, a quality lower than a predetermined quality. It is assumed that any one of the three values, that is, a value indicating that there is a value and a value indicating that the quality of the member B-n is “unknown” is indicated.

  When the acquisition unit 11 acquires the member report information transmitted from the detection device CM or the inspection device 8, the acquisition unit 11 creates a new record for the member information table TBL8, and uses the member report information for the new record. The member information indicating the position and state of the member B-n represented is stored.

Specifically, when acquiring the member report information transmitted from the inspection device 8, that is, the inspection result information, the acquisition unit 11 creates a new record for the member information table TBL8, and in the new record The position where the inspection device 8 is provided is stored as the member position information, and the inspection result of the quality of the member B-n by the inspection device 8 is stored as the member quality information.
In this case, the acquisition unit 11 may select one of a value indicating that the quality of the member B-n is normal or a value indicating that the quality of the member B-n is abnormal as the member quality information. Set the value. In this case, the acquisition unit 11 stores, for example, the last process S [M] as the member presence process information, and the work on the member B-n in the process S [M] is completed as the in-process work progress information. A value indicating that it has been stored is stored.

On the other hand, when acquiring the member report information transmitted from the detection device CM, that is, the detection result information, the acquisition unit 11 creates a new record for the member information table TBL8, and in the new record, the member position As information, the position of the member B-n detected by the detection device CM is stored, and as the member quality information, a value indicating that the quality of the member B-n is unknown is stored.
In this case, when the position of the member B-n [m] indicated by the member position information is included in the range indicated by the process start position information in the area Ar [m], the acquisition unit 11 performs in-process work progress information. Then, a value indicating that the work in the process S [m] is “start” is set. In this case, the acquisition unit 11 performs the in-process work when the position of the member B-n [m] indicated by the member position information is included in the range indicated by the process end position information in the area Ar [m]. As the progress information, a value indicating that the work in the process S [m] is “finished” is set. Further, in this case, the acquisition unit 11 is configured such that the position of the member B-n [m] indicated by the member position information is a range indicated by the process start position information and a range indicated by the process end position information in the area Ar [m]. May be set as the in-process work progress information, a value indicating that the work in the process S [m] is “being executed”.

  FIG. 12 is a diagram illustrating an example of a data configuration of the schedule information table TBL9.

  As illustrated in FIG. 12, the schedule information table TBL9 has a one-to-one correspondence with all the operations executed in the M processes S [1] to S [M] included in the production line LN. Has multiple records. Each record of the schedule information table TBL9 stores a schedule ID and schedule information.

Here, the schedule ID is information for uniquely identifying each work among all works executed in the M processes S [1] to S [M].
The schedule information includes, for example, the member ID of the member B-n that is the target of each work, the work scheduled process information indicating the process S [m] in which each work is performed, the scheduled start time of each work, Information including scheduled work time information indicating the scheduled end time.

  Note that the environment information table TBL10 shown in FIG. 3 is a table for storing environment information transmitted from the environment information measuring apparatus EV. When acquiring the environment information transmitted from the environment information measuring device EV, the acquiring unit 11 associates the acquired environment information with the acquired time and stores it in the environment information table TBL10.

<< 2.3. Overview of management server hardware configuration >>
FIG. 13 is a configuration diagram illustrating an example of a hardware configuration of the management server 1.

  As shown in FIG. 13, the management server 1 communicates with a processor 1000 that controls each unit of the management server 1, a memory 1001 that stores various types of information, and an external device that exists outside the management server 1. A communication device 1002, an input operation device 1003 for receiving an operation by an operator of the management server 1, and a disk device 1004 for reading information from a recording medium.

The memory 1001 includes, for example, a volatile memory such as a RAM (Random Access Memory) that functions as a work area of the processor 1000 and an EEPROM (Electrically Erasable Programmable Read-Only Memory) that stores various information such as the control program PRG of the management server 1 And the like as a storage unit 20.
The processor 1000 is a CPU (Central Processing Unit), for example, and functions as the control unit 10 by executing a control program PRG stored in the memory 1001 and operating according to the control program PRG.
The communication device 1002 is hardware for performing communication with an external device existing outside the management server 1 via one or both of a wired network and a wireless network, and provides a function as the communication unit 30.
The input operation device 1003 is, for example, an operation button, and provides a function as the operation unit 40 that receives an operation of the operator of the management server 1.
The disk device 1004 is an optical disk device, for example, and provides a function as an information reading unit 50 that reads various information such as a control program PRG recorded on a recording medium such as an optical disk.

  The processor 1000 includes hardware such as a GPU (Graphics Processing Unit), a DSP (Digital Signal Processor), or an FPGA (Field Programmable Gate Array) in addition to or instead of the CPU. It may be done. In this case, part or all of the control unit 10 realized by the processor 1000 may be realized by hardware such as a DSP.

<< 3. Overview of management server operations >>
Hereinafter, an example of the operation of the management server 1 will be described with reference to FIGS. 14 to 20.

<< 3.1. Overview of management processing >>
FIG. 14 is a flowchart illustrating an example of the operation of the management server 1 when the management server 1 executes the management process. In this embodiment, when the operator of the management server 1 inputs a predetermined operation for starting the management process from the operation unit 40, the management server 1 starts the management process.

  As shown in FIG. 14, when the management process is started, the acquisition unit 11 acquires production line information from the storage unit 20 (S10).

And the control part 10 determines whether the quality of product BP-n has quality more than predetermined quality based on member information among the production line information acquired in step S10 (S12). ).
Specifically, in step S12, the control unit 10 determines whether or not the member quality information corresponding to the product BP-n is “normal”.

Further, the control unit 10 determines whether or not there is a delay in the production of the product BP-n in the production line LN based on the member information and the schedule information among the production line information acquired by the acquisition unit 11 in step S10. Is determined (S14).
The production delay of the product BP-n in the production line LN means that the actual completion time of production of the product BP-n indicated by the member information is the scheduled completion time of production of the product BP-n indicated by the schedule information. Rather than a predetermined time.
Here, “the actual completion time of production of the product BP-n” is, for example, a value in which the member ID corresponds to the product BP-n in the member information table TBL8, and the member presence process information is the final process. This is the time at which S [M] is indicated and the in-process work progress information is recorded in the record indicating “end”.
The “scheduled time of completion of production of the product BP-n” is, for example, a value in which the member ID corresponds to the product BP-n in the schedule information table TBL9, and the scheduled work process information is the final process. This is the scheduled end time indicated by the scheduled work time information recorded in the record indicating S [M].

  If the determination result in step S12 is affirmative and the determination result in step S14 is affirmative, the control unit 10 advances the process to step S24.

  On the other hand, when the result of the determination at step S12 is negative or when the result of the determination at step S14 is negative, the control unit 10 executes a quality degradation factor analysis process (S16), and then the delay factor analysis process. Is executed (S18), then quality improvement policy formulation processing is executed (S20), and then schedule improvement policy formulation processing is executed (S22).

Here, the quality degradation factor analysis processing in step S16 is to determine the cause of the quality degradation in which the product BP-n is lower than the predetermined quality, and the quality of the product BP-n is lower than the predetermined quality. This is a process of identifying the quality degradation process that is the cause S [m].
The delay factor analysis process in step S18 specifies a delay process that is the process S [m] that caused the delay in the production of the product BP-n, and determines the cause of the delay in the delay process. It is processing to do.
Further, the quality improvement policy formulation process in step S20 is a process for formulating a policy for improving the quality of the product BP-n when there is a quality deterioration process.
Further, the schedule improvement policy formulation process in step S22 is a process for formulating a policy for suppressing a delay in the production of the product BP-n when there is a delay process.
Note that the execution order of the quality improvement policy formulation process and the schedule improvement policy formulation process may be reversed.

  Thereafter, the control unit 10 determines whether or not the management process ends (S24). And the control part 10 complete | finishes the management process shown in FIG. 14, when the result of determination in step S24 is affirmative. Moreover, the control part 10 advances a process to step S10, when the result of determination in step S24 is negative.

<< 3.2. Overview of quality degradation factor analysis processing >>
FIG. 15 is a flowchart illustrating an example of the operation of the management server 1 when the management server 1 executes the quality degradation factor analysis process.

  As shown in FIG. 15, when the quality degradation factor analysis process is started, the quality influence calculation unit 141 first sets “1” for the variable m (S100).

Next, the quality influence calculation unit 141 determines whether or not the equipment R [m] exists in the process S [m] (S102).
Specifically, in step S102, for example, the quality influence degree calculation unit 141 includes the equipment presence / absence included in the process resource information recorded in the record indicating the process S [m] in the process information table TBL7. By referring to the information, it may be determined whether or not the equipment R [m] exists in the process S [m].
In addition, the quality influence calculation part 141 advances a process to step S108, when the result of determination in step S102 is negative.

By the way, in the present embodiment, there is a case where the following causes w1 to w4 exist as the cause Wα [m] of the quality degradation in the process S [m] and the cause Wβ [m] of the delay in the process S [m]. As an example.
(1) Cause w1: State of equipment R (2) Cause w2: State of worker H (3) Cause w3: Position of worker H (4) Cause w4: Quality degradation in the previous process

  “Cause w1: state of equipment R” is, for example, a case where a defect has occurred in equipment R [m], resulting in a deterioration or delay in process S [m]. Here, the case where a failure occurs in the facility R [m] is a case where the facility operation information corresponding to the facility R [m] indicates “unstable” or “abnormal stop”.

“Cause w2: state of worker H” is, for example, a case where a defect has occurred in worker H, resulting in a decrease in quality or a delay in step S [m].
In the present embodiment, as an example, the case where the worker H has a problem, the case where the worker H is not in good health, and the difficulty level of the worker H compared to the degree of difficulty in the process S [m]. The concept includes both cases where the skill level is low.
Here, the case where the physical condition of the worker H is not good is a case where the worker physical condition information corresponding to the worker H indicates “abnormal” or “unwell”.
Also, when the skill level of the worker H is low, the skill level indicated by the worker skill information corresponding to the worker H is subtracted from the difficulty indicated by the process difficulty level information corresponding to the process S [m]. This is a case where the obtained skill deviation value is larger than a predetermined allowable value.

  “Cause w3: position of worker H” means, for example, that there is no worker H in the area Ar [m] that should normally exist in the area Ar [m], and therefore a delay in the step S [m]. This is the case.

  “Cause w4: Quality degradation in the previous process” means, for example, the process S [m] because the quality degradation occurred in the previous process of the process S [m], that is, the processes S [1] to S [m−1]. ] Is a case where a delay occurs.

  In the present embodiment, the cause Wα [m] of quality degradation in the process S [m] and the cause Wβ [m] of delay in the process S [m] do not correspond to any of the causes w1 to w4. For the convenience of explanation, these causes are treated as “cause w0: cause unknown”.

  In the present embodiment, influence coefficients k0 to k4 are determined for the causes w0 to w4.

The influence coefficient k1 is the delay in the production of the product BP in the production line LN or the product BP produced in the production line LN when “cause w1: state of the equipment R” exists in the process S [m]. This is the magnitude of the influence of the process S [m] on the quality degradation.
In the present embodiment, as an example, the influence coefficient k1 is determined as a constant that satisfies “k1> 0”. However, the influence coefficient k1 is larger when the equipment operation information of the equipment R [m] is “abnormal stop” than when the equipment operation information of the equipment R [m] is “unstable”. May be set.

The influence coefficient k2 is the production delay of the product BP in the production line LN or the product produced in the production line LN when “cause w2: state of the worker H” exists in the process S [m]. This is the magnitude of the influence of the process S [m] on the quality degradation of BP.
In the present embodiment, as an example, the influence coefficient k2 is determined as a constant satisfying “k2> 0”. However, the influence coefficient k2 is set to a larger value when the worker physical condition information of the worker H is “abnormal” than when the worker physical condition information of the worker H is “malfunction”. Also good. Further, the influence coefficient k2 may be set to a value corresponding to the skill deviation value. Specifically, the influence coefficient k2 may be set to a larger value when the skill divergence value is large than when the skill divergence value is small.

The influence coefficient k3 is given by the process S [m] with respect to the production delay of the product BP in the production line LN when “cause w3: position of the worker H” exists in the process S [m]. The magnitude of the impact.
In the present embodiment, as an example, the influence coefficient k3 is determined as a constant satisfying “k3> 0”. However, the influence coefficient k3 may be set to a value corresponding to the distance between the position where the worker H that should exist in the area Ar [m] actually exists and the area Ar [m].

The influence coefficient k4 is given by the process S [m] with respect to the delay in the production of the product BP in the production line LN when "cause w4: quality degradation in the previous process" exists in the process S [m]. The magnitude of the impact.
When the cause w4 exists in the process S [m], the delay in the process S [m] is only a result of being affected by the quality deterioration in the processes S [1] to S [m-1]. In other words, even if the cause w4 exists in the process S [m], the production of the product BP in the production line LN is possible if the quality degradation in the processes S [1] to S [m-1] is resolved. This also eliminates the influence of the process S [m] on this delay. For this reason, in this embodiment, as an example, the influence coefficient k4 is defined as “k4 = 0”.

The influence coefficient k0 means that the influence of the process S [m] on the production delay of the product BP in the production line LN when the “cause w0: unknown cause” exists in the process S [m]. That's it.
In the present embodiment, as an example, the influence coefficient k0 is determined as a constant that satisfies “k0> 0”.

Returning to FIG.
As shown in FIG. 15, when the result of the determination in step S102 is affirmative, the quality influence calculation unit 141 determines that the equipment R when the work on the member B-n is being performed in step S [m]. It is determined whether or not a failure occurs in [m] (S104).
Specifically, in step S104, the quality influence calculation unit 141 first records a record indicating that the work for the member B-n is “in execution” in the process S [m] in the member information table TBL8. Get the recorded time. Moreover, the quality influence calculation part 141 specifies equipment ID of equipment R [m] with reference to equipment basic information table TBL1. Next, the quality influence calculation unit 141 has the equipment ID corresponding to the equipment R [m] in the equipment state information table TBL3, and the operation for the member B-n is performed in the process S [m]. Identify the record where the time is recorded. And the quality influence calculation part 141 determines whether the malfunction has arisen in equipment R [m] based on the equipment operation information currently recorded on the specified record.
In this embodiment, the quality influence calculation unit 141 determines that the equipment R [m] has a problem when the equipment operation information indicates “unstable” or “abnormal stop” in step S104, A case where it is determined that the equipment R [m] is not defective when the equipment operation information indicates “normal” is assumed as an example.
In addition, the quality influence calculation part 141 advances a process to step S108, when the result of determination in step S104 is negative.

  When the result of the determination in step S104 is affirmative, the quality influence calculation unit 141 determines that the cause Wα [m] of the quality deterioration in the process S [m] is “cause w1: state of the equipment R” (S106). .

Next, the quality influence calculation unit 141 determines whether or not the worker H [m] exists in the process S [m] (S108).
Specifically, the quality influence calculation unit 141 determines in step S108 whether, for example, in the worker basic information table TBL4, there is a record whose assigned process information indicates the process S [m]. What is necessary is just to determine whether the worker H [m] exists in process S [m].
In addition, the quality influence calculation part 141 advances a process to step S114, when the result of determination in step S108 is negative.

When the result of the determination in step S108 is affirmative, the quality influence degree calculating unit 141 has a problem with the worker H [m] when the work on the member B-n is being performed in step S [m]. It is determined whether or not it has occurred (S110).
Specifically, in step S110, the quality influence calculation unit 141 determines whether or not the worker H [m] is in poor physical condition and whether or not the skill level of the worker H [m] is low. The determination is performed.
More specifically, when the quality influence calculation unit 141 determines whether the physical condition of the worker H [m] is poor, first, the process S [m] in the member information table TBL8. The time recorded in the record indicating that the work for the member B-n is “in execution” is acquired. Further, the quality influence calculation unit 141 specifies the worker ID of the worker H [m] by referring to the worker basic information table TBL4. Next, the quality influence calculation unit 141 executes the work on the member B-n in the process S [m] in which the worker ID corresponds to the worker H [m] in the worker state information table TBL6. The record in which the recorded time is recorded is specified. And the quality influence calculation part 141 determines whether the physical condition defect has arisen in the worker H [m] based on the worker physical condition information recorded on the specified record. Specifically, the quality influence calculation unit 141 determines that a defect has occurred in the worker H [m] when the worker physical condition information indicates “abnormal” or “not good”.
Further, when determining whether or not the skill level of the worker H [m] is low, the quality influence degree calculation unit 141 first refers to the process information table TBL7, thereby performing the process S [m]. Get difficulty information. Moreover, the quality influence degree calculation part 141 acquires the worker skill information of the worker H [m] by referring to the worker basic information table TBL4. Next, the quality influence level calculation unit 141 subtracts the skill level indicated by the worker skill information corresponding to the worker H [m] from the difficulty level indicated by the process difficulty level information corresponding to the step S [m]. Then, the skill divergence value is calculated. And the quality influence calculation part 141 determines with the operator H [m] having a malfunction, when a skill deviation value is larger than a predetermined | prescribed allowable value.
On the other hand, the quality influence level calculation unit 141 determines that the supplier H [m] has no problem when the worker physical condition information indicates “normal” and the skill deviation value is equal to or less than a predetermined allowable value. .
In addition, the quality influence degree calculation part 141 advances a process to step S114, when the result of determination in step S110 is negative.

  If the result of the determination in step S110 is affirmative, the quality influence calculation unit 141 determines that the cause Wα [m] of the quality deterioration in the process S [m] is “cause w2: the state of the worker H” (S112 ).

Next, the quality influence degree calculation unit 141 calculates the quality influence degree α [m] in the process S [m] (S114).
Specifically, in step S114, the quality influence calculation unit 141 first sets the reference value αdef for the quality influence α [m]. Here, the reference value αdef is the quality influence degree α [m] when it is assumed that the causes w0 to w4 do not exist in the process S [m]. When the causes w0 to w4 do not exist in the process S [m], there is no influence of the process S [m] on the deterioration of the quality of the product BP produced in the production line LN. Therefore, in the present embodiment, as an example, the reference value αdef is defined as “αdef = 0”.
Then, when it is determined in step S106 that the cause Wα [m] is “cause w1: state of the equipment R”, the quality influence degree calculation unit 141 determines the quality influence degree α [m]. Add the influence coefficient k1. Further, when it is determined in step S112 that the cause Wα [m] is “cause w2: the state of the worker H” in step S112, the quality influence degree calculation unit 141 applies the quality influence degree α [m]. The influence coefficient k2 is added. For example, when it is determined in steps S106 and S112 that the cause Wα [m] is the cause w1 and the cause w2, the quality influence degree calculation unit 141 sets the quality influence degree α [m] to “αdef + k1 + k2”. Set.
As described above, the quality influence degree calculation unit 141 has a larger value for the quality influence degree α [m] when the quality deterioration occurs in the process S [m] than when the quality deterioration does not occur. Set to. In addition, the quality influence degree calculation unit 141 determines that the quality influence degree α [m] is caused by a single cause when the deterioration in quality occurring in the process S [m] is caused by a plurality of causes. Compare and set to a larger value.

  Thereafter, the quality influence calculation unit 141 determines whether or not the variable m satisfies “m <M” (S116).

  If the result of determination in step S116 is affirmative, the quality influence degree calculation unit 141 adds “1” to the variable m (S118), and advances the process to step S102.

  On the other hand, when the result of the determination in step S116 is negative, the quality degradation process specifying unit 121 is greater than the threshold value αth among the quality influence degrees α [1] to α [M] calculated in the quality degradation factor analysis process. The process S [m] corresponding to the quality influence degree α [m] is specified as the quality degradation process (S120), and the quality degradation factor analysis process is terminated.

<< 3.3. Overview of delay factor analysis processing >>
FIG. 16 is a flowchart illustrating an example of the operation of the management server 1 when the management server 1 executes the delay factor analysis process.

  As shown in FIG. 16, when the delay factor analysis process is started, the delay process specifying unit 122 first sets “1” for the variable m (S200).

Next, the delay process specifying unit 122 determines whether or not the process execution time Twk [m] and the process execution allowable time Tth [m] satisfy “Twk [m] ≧ Tth [m]” ( S202).
Specifically, in step S202, the delaying process specifying unit 122 first refers to the member information table TBL8, so that the process start time Tin [m] for the member B-n in the process S [m] and the process S The process end time Tout [m] for the member B-n in [m] is specified. And the delay process specific | specification part 122 calculates process execution time Twk [m] with respect to member Bn in process S [m] by subtracting process start time Tin [m] from process end time Tout [m]. To do. The delay process specifying unit 122 specifies the process execution allowable time Tth [m] corresponding to the process S [m] by referring to the process information table TBL7. Then, the delay process specifying unit 122 determines whether or not the process execution time Twk [m] is equal to or longer than the process execution allowable time Tth [m].
In addition, when the result of the determination in step S202 is negative, the delay process specifying unit 122 proceeds with the process to step S216.

  When the result of the determination in step S202 is affirmative, the delay process specifying unit 122 specifies the process S [m] as a delay process (S204).

Next, the delay cause determination unit 13 determines whether or not the equipment R [m] exists in the process S [m] (S206).
In addition, the delay cause determination part 13 advances a process to step S212, when the result of determination in step S206 is negative.

If the result of the determination in step S206 is affirmative, the delay cause determination unit 13 determines whether or not a failure has occurred in the equipment R [m] (S208).
In addition, the delay cause determination part 13 advances a process to step S212, when the result of determination in step S208 is negative.

  If the result of the determination in step S208 is affirmative, an equipment status analysis process, which is a process for analyzing the response status to the malfunction occurring in the equipment R [m], is executed (S210).

  FIG. 17 is a flowchart illustrating an example of the operation of the management server 1 when the management server 1 executes the facility state analysis process.

As shown in FIG. 17, in the equipment status analysis process, the delay cause determination unit 13 first determines whether or not any worker H [mx] exists in the area Ar [m] corresponding to the process S [m]. Is determined (S240). Here, the variable mx is a natural number satisfying “1 ≦ mx ≦ M”. The variable mx may be a value equal to the variable m or a value different from the variable m.
When the variable mx is equal to the variable m, that is, when the worker H [mx] is the worker H [m], for example, the worker H [m] in charge of the process S [m]. ] Means that measures are taken to deal with a failure that occurs in the facility R [m]. On the other hand, when the variable mx is a value different from the variable m, that is, when the worker H [mx] is not the worker H [m], for example, the worker in charge of another process S [mx] This means that H [mx] rushes to the area Ar [m] and is responding to a failure occurring in the equipment R [m].

If the result of the determination in step S240 is affirmative, the delay cause determination unit 13 determines the cause Wβ [m] of the delay in step S [m] as “cause w1: state of equipment R” and “cause w3: work. It is determined that it is “the position of the person H” (S242), and the equipment state analysis process is terminated.
More specifically, in step S242, the delay cause determination unit 13 determines that the cause of delay Wβ [m] in step S [m] is a failure in the facility R [m]. It is determined that there is a cause that no worker H in the production line LN has dealt with the malfunction that has occurred in R [m].

  When the result of determination in step S240 is negative, the delay cause determination unit 13 determines whether or not there is a problem with the worker H [mx] (S244).

If the determination result in step S244 is affirmative, the delay cause determination unit 13 determines the cause Wβ [m] of the delay in step S [m] as “cause w1: state of equipment R” and “cause w2: work. The state of the person H is determined "(S246), and the equipment state analysis process is terminated.
More specifically, in step S246, the delay cause determination unit 13 determines that the cause of delay Wβ [m] in step S [m] is a failure in the facility R [m]. It is determined that there is a cause that the worker H [mx], who is dealing with solving the failure of R [m], has a failure.

  If the result of the determination in step S244 is negative, the delay cause determination unit 13 determines whether or not a quality degradation process exists in the processes S [1] to S [m-1] (S248).

When the determination result in step S248 is affirmative, the delay cause determination unit 13 determines the cause Wβ [m] of the delay in the process S [m] as “cause w1: state of the equipment R” and “cause w4: previous It is determined that it is “quality reduction in the process” (S250), and the equipment state analysis process is terminated.
More specifically, the delay cause determination unit 13 determines in step S250 that the cause of delay Wβ [m] in the process S [m] is a failure in the equipment R [m] and the previous process S It is determined that there is a cause that the failure of the equipment R [m] has deteriorated due to the influence of the quality degradation that has occurred in [1] to S [m-1].
In step S250, the cause-of-delay determination unit 13 determines that the cause of delay Wβ [m] in the process S [m] is caused by the quality deterioration caused in the previous processes S [1] to S [m-1]. You may determine that it is a cause that the malfunction occurred in equipment R [m].
Further, in step S250, the delay cause determination unit 13 determines that the cause Wβ [m] of the delay in the process S [m] is “cause w4: quality degradation in the previous process”, and in the process S [m]. It may be determined that the cause Wβ [m] of the delay does not include “cause w1: state of equipment R”.

  When the determination result in step S248 is negative, the delay cause determination unit 13 simply determines that the cause Wβ [m] of the delay in the process S [m] is “cause w1: state of the equipment R”. (S252), the equipment status analysis process is terminated.

Returning to FIG.
As illustrated in FIG. 16, the delay cause determination unit 13 determines whether or not the worker H [m] is present in the process S [m] (S212).
In addition, the delay cause determination part 13 advances a process to step S216, when the result of determination in step S212 is negative.

  If the result of determination in step S212 is affirmative, an operator situation analysis process, which is a process for analyzing the situation of the worker H [m], is executed (S214).

  FIG. 18 is a flowchart illustrating an example of the operation of the management server 1 when the management server 1 executes the worker situation analysis process.

  As illustrated in FIG. 18, in the worker situation analysis process, the delay cause determination unit 13 first determines whether or not the worker H [m] exists in the area Ar [m] corresponding to the process S [m]. Is determined (S260).

When the result of the determination in step S260 is affirmative, the delay cause determination unit 13 determines that the cause Wβ [m] of the delay in step S [m] is “cause w3: position of worker H” (S262). ), The worker situation analysis process is terminated.
More specifically, in step S262, the delay cause determination unit 13 determines that the cause Wβ [m] of the delay in the process S [m] and the worker H [m] performs the work in the process S [m]. It is determined that there is no cause.

  When the result of the determination in step S260 is negative, the delay cause determining unit 13 determines whether or not there is a problem with the worker H [m] (S264).

If the result of the determination in step S264 is affirmative, the delay cause determination unit 13 determines that the cause Wβ [m] of the delay in step S [m] is “cause w2: state of worker H” (S266). ), The worker situation analysis process is terminated.
More specifically, the delay cause determination unit 13 causes the delay cause Wβ [m] in the process S [m] to malfunction in the worker H [m] who performs the work in the process S [m] in step S266. Is determined to be the cause of the existence of.

  When the result of the determination in step S264 is negative, the delay cause determining unit 13 determines whether or not a quality deterioration process exists in the processes S [1] to S [m-1] (S268).

When the determination result in step S268 is positive, the delay cause determination unit 13 determines that the cause Wβ [m] of the delay in the process S [m] is “cause w4: quality deterioration in the previous process” (S270). ), The worker situation analysis process is terminated.
More specifically, the delay cause determination unit 13 determines that the delay cause Wβ [m] in step S [m] is the quality generated in the previous steps S [1] to S [m−1] in step S270. It is determined that the cause is that the efficiency of work by the worker H [m] is deteriorated due to the influence of the decrease.

When the result of the determination in step S268 is negative, the delay cause determination unit 13 determines that the cause Wβ [m] of the delay in step S [m] is “cause w0: cause unknown” (S272) The person situation analysis process is terminated.
In step S272, the delay cause determination unit 13 determines whether or not the physical quantity indicated by the environmental information acquired by the acquisition unit 11 from the environmental information measuring device EV is out of a predetermined appropriate range. If the result is affirmative, it may be determined that the cause of delay Wβ [m] in step S [m] is the cause of the inappropriate environment in which the production line LN is provided.

Returning to FIG.
As illustrated in FIG. 16, the schedule influence degree calculation unit 142 calculates the schedule influence degree β [m] in the process S [m] (S216).
Specifically, in step S216, the schedule influence degree calculation unit 142 first sets a reference value βdef for the schedule influence degree β [m]. Here, the reference value βdef is a schedule influence β [m] when it is assumed that the causes w0 to w4 do not exist in the process S [m]. If the causes w0 to w4 do not exist in the process S [m], even if the process execution time Twk [m] in the process S [m] is equal to or longer than the process execution allowable time Tth [m], the process S [ The delay in m] is temporary, and the effect of the process S [m] on the delay in production of the product BP in the production line LN is only temporary. Therefore, in the present embodiment, as an example, the excess execution time ΔTwk [m] obtained by subtracting the process execution allowable time Tth [m] from the process execution time Twk [m] is set to the reference value βdef. However, the reference value βdef may be determined as “βdef = 0”.
Then, when it is determined that the cause Wβ [m] is “cause w1: state of the equipment R”, the schedule influence degree calculation unit 142 sets the influence coefficient k1 for the schedule influence degree β [m]. When it is determined that the cause Wβ [m] is “cause w2: state of worker H”, the influence coefficient k2 is added to the schedule influence β [m], and the cause Wβ [ When it is determined that [m] is “Cause w3: Position of worker H”, the influence coefficient k3 is added to the schedule influence degree β [m], and the cause Wβ [m] is “cause w4 : If it is determined that the quality is deteriorated in the previous process, the influence coefficient k4 is added to the schedule influence degree β [m], and the cause Wβ [m] is “cause w0: cause unknown” When the determination is made, the influence coefficient k0 is added to the schedule influence degree β [m].
As described above, the schedule influence degree calculation unit 142 sets the schedule influence degree β [m] to a larger value when a delay occurs in the process S [m] than when no delay occurs. To do. Further, the schedule influence degree calculation unit 142 compares the schedule influence degree β [m] with the case where the delay occurring in the process S [m] is caused by a plurality of causes, compared with the case where the delay is caused by a single cause. And set it to a large value.

Thereafter, the delay process specifying unit 122 determines whether or not the variable m satisfies “m <M” (S218).
If the result of determination in step S218 is affirmative, the delay process specifying unit 122 adds “1” to the variable m (S220), and advances the process to step S202.
On the other hand, if the result of the determination in step S218 is negative, the delay process specifying unit 122 ends the delay factor analysis process.

<< 3.4. Overview of quality improvement policy development process >>
FIG. 19 is a flowchart showing an example of the operation of the management server 1 when the management server 1 executes the quality improvement policy formulation process.

  As shown in FIG. 19, when the quality improvement policy formulation process is started, the control unit 10 first sets “1” for the variable m (S300).

  Next, the quality influence degree calculation unit 141 calculates the overall quality influence degree αALL, which is the total value of the quality influence degrees α [1] to α [M] calculated in the quality deterioration factor analysis process (S302).

  Further, the schedule influence degree calculation unit 142 calculates the overall schedule influence degree βALL, which is the total value of the schedule influence degrees β [1] to β [M] calculated in the delay factor analysis process (S304).

Next, the alternative worker selection unit 15 determines whether or not the process S [m] is a quality deterioration process (S306).
Note that the alternative worker selecting unit 15 advances the process to step S322 when the result of the determination in step S306 is negative.

If the result of the determination in step S306 is affirmative, the alternative worker selecting unit 15 determines whether or not the cause Wα [m] of quality deterioration in the process S [m] is “cause w2: state of the worker H”. Is determined (S308).
Note that the alternative worker selecting unit 15 advances the process to step S322 when the result of the determination in step S308 is negative.

If the result of the determination in step S308 is affirmative, the alternative worker selection unit 15 selects an alternative worker H [m ⁺ ] that can execute the work in step S [m] instead of the worker H [m]. (S310).
Specifically, in step S310, for example, the alternative worker selection unit 15 selects the skill level indicated by the worker skill information from among one or more workers H existing in the production line LN. The physical condition at the current time indicated by the worker physical condition information is “good”, and the position at the current time indicated by the worker positional information is a region Ar [m]. The worker H that satisfies some or all of the predetermined distances is selected as the substitute worker H [m ⁺ ].

Next, the quality influence determination unit 161 changes the overall quality influence degree αALL ⁺ when the worker H in charge of the process S [m] is changed from the worker H [m] to the alternative worker H [m ⁺ ]. Is calculated (S312).
Specifically, in step S312, the quality influence determination unit 161 first changes the worker H in charge of the process S [m] from the worker H [m] to the alternative worker H [m ⁺ ]. Assuming that the quality influence levels α [m] and α [m ⁺ ] are updated. Next, the quality influence determination unit 161 determines the total value of the quality influence degrees α [1] to α [M] including the updated quality influence degrees α [m] and α [m ⁺ ] as the overall quality influence degree αALL. Calculate as ⁺ .

Next, the quality influence determination unit 161 determines whether or not the overall quality influence degree αALL ⁺ is equal to or less than the overall quality influence degree αALL (S314).
In addition, the quality influence determination part 161 advances a process to step S322, when the result of determination in step S314 is negative.

When the result of determination in step S314 is affirmative, the schedule influence determination unit 162 changes the worker H in charge of the process S [m] from the worker H [m] to the alternative worker H [m ⁺ ]. The overall schedule influence level βALL ⁺ is calculated (S316).
Specifically, in step S316, the schedule influence determination unit 162 first switches the worker H in charge of the process S [m] from the worker H [m] to the alternative worker H [m ⁺ ]. Assuming that the schedule influences β [m] and β [m ⁺ ] are updated. Next, the schedule influence determination unit 162 calculates the total schedule influence degrees β [1] to β [M] including the updated schedule influence degrees β [m] and β [m ⁺ ] as the overall schedule influence degree βALL. Calculate as ⁺ .

Next, the schedule influence determination unit 162 determines whether or not the difference value obtained by subtracting the overall schedule influence degree βALL from the overall schedule influence degree βALL ⁺ is equal to or less than the non-negative threshold value βo (S318).
In addition, the quality influence determination part 161 advances a process to step S322, when the result of determination in step S318 is negative.

If the result of the determination in step S318 is affirmative, the substitute worker proposing unit 17 changes the worker H who is in charge of the work in the process S [m] from the worker H [m] to the substitute worker H [m ⁺ ]. A proposal to change is made (S320).
When the operator of the management server 1 operates the operation unit 40 and accepts the proposal from the alternative worker proposing unit 17, the alternative worker proposing unit 17 sets the overall quality influence degree αALL by the overall quality influence degree αALL ^+. The overall schedule influence level βALL may be updated by updating the entire schedule influence degree βALL ⁺ .

Thereafter, the control unit 10 determines whether or not the variable m satisfies “m <M” (S322).
If the result of determination in step S322 is affirmative, the control unit 10 adds “1” to the variable m (S324), and advances the process to step S306.
On the other hand, the control part 10 complete | finishes a quality improvement policy formulation process, when the result of determination in step S322 is negative.

<< 3.5. Overview of schedule improvement policy formulation process >>
FIG. 20 is a flowchart illustrating an example of the operation of the management server 1 when the management server 1 executes the schedule improvement policy formulation process.

  As shown in FIG. 20, when the schedule improvement policy formulation process is started, the control unit 10 first sets “1” for the variable m (S400).

Next, the quality influence degree calculation unit 141 calculates an overall quality influence degree αALL, which is a total value of the quality influence degrees α [1] to α [M] (S402).
Note that the quality influence degree calculation unit 141 may omit the process of step S402 when the overall quality influence degree αALL is not updated in the quality improvement policy formulation process.

Further, the schedule influence degree calculation unit 142 calculates the overall schedule influence degree βALL, which is the total value of the schedule influence degrees β [1] to β [M] (S404).
Note that the schedule influence degree calculation unit 142 may omit the process of step S404 when the overall schedule influence degree βALL is not updated in the quality improvement policy formulation process.

Next, the alternative worker selecting unit 15 determines whether or not the process S [m] is a delayed process (S406).
Note that, if the result of determination in step S406 is negative, the alternative worker selection unit 15 advances the process to step S422.

When the result of the determination in step S406 is affirmative, the alternative worker selecting unit 15 determines that the cause Wα [m] of the delay in the process S [m] is “cause w2: state of worker H” or “cause w3. : Position of worker H ”is determined (S408).
Note that the alternative worker selecting unit 15 advances the process to step S422 when the result of the determination in step S408 is negative.

If the result of the determination in step S408 is affirmative, the alternative worker selection unit 15 selects an alternative worker H [m ⁺ ] that can execute the work in the process S [m] instead of the worker H [m]. (S410).

Next, the schedule influence determination unit 162 changes the overall schedule influence degree βALL ⁺ when the worker H in charge of the process S [m] is changed from the worker H [m] to the alternative worker H [m ⁺ ]. Is calculated (S412).

Next, the schedule influence determination unit 162 determines whether or not the overall schedule influence degree βALL ⁺ is equal to or less than the overall schedule influence degree βALL (S414).
In addition, the schedule influence determination part 162 advances a process to step S422, when the result of determination in step S414 is negative.

When the determination result in step S414 is affirmative, the quality influence determination unit 161 changes the worker H in charge of the process S [m] from the worker H [m] to the alternative worker H [m ⁺ ]. The overall quality influence degree αALL ⁺ is calculated (S416).

Next, the quality influence determination unit 161 determines whether or not the difference value obtained by subtracting the overall quality influence degree αALL from the overall quality influence degree αALL ⁺ is equal to or less than the non-negative threshold value αo (S418).
In addition, the quality influence determination part 161 advances a process to step S422, when the result of determination in step S418 is negative.

If the result of the determination in step S418 is affirmative, the substitute worker proposing unit 17 changes the worker H who is in charge of the work in the process S [m] from the worker H [m] to the substitute worker H [m ⁺ ]. A proposal to change is made (S420).
When the operator of the management server 1 operates the operation unit 40 and accepts the proposal from the alternative worker proposing unit 17, the alternative worker proposing unit 17 sets the overall quality influence degree αALL by the overall quality influence degree αALL ^+. The overall schedule influence level βALL may be updated by updating the entire schedule influence degree βALL ⁺ .

Thereafter, the control unit 10 determines whether or not the variable m satisfies “m <M” (S422).
If the result of the determination in step S422 is affirmative, the control unit 10 adds “1” to the variable m (S424), and advances the process to step S406.
On the other hand, the control part 10 complete | finishes a schedule improvement policy formulation process, when the result of determination in step S422 is negative.

<< 4. Conclusion of the first embodiment >>
As described above, according to the present embodiment, the acquisition unit 11 acquires production line information including worker information, member information, and facility information. For this reason, according to the present embodiment, for example, the acquisition unit 11 can accurately identify the quality deterioration process in the quality deterioration factor analysis process as compared with the case of acquiring only the facility information. Thus, it is possible to accurately determine the cause Wα [m] of quality degradation in the process S [m].

  Moreover, according to this embodiment, since the acquisition part 11 acquires production line information including worker information, member information, and equipment information, for example, the acquisition part 11 acquires only equipment information. In comparison with the above, in the delay factor analysis process, it is possible to accurately specify the delay process, and it is possible to accurately determine the cause Wβ [m] of the delay in the process S [m].

In addition, according to the present embodiment, in the quality improvement policy formulation process, while considering both the overall quality influence degree αALL and the overall schedule influence degree βALL, in order to propose a change to the alternative worker H [m ⁺ ], It is possible to propose a replacement of the worker H that improves the quality of the product BP produced on the production line LN while suppressing the delay in the production of the product BP on the production line LN.

Further, according to the present embodiment, in the schedule improvement policy formulation process, while considering both the overall quality influence level αALL and the overall schedule influence level βALL, in order to propose a change to the substitute worker H [m ⁺ ], It is possible to propose a replacement of the worker H that can eliminate the delay in the production of the product BP in the production line LN while suppressing the deterioration of the quality of the product BP produced in the production line LN.

<< B. Second Embodiment >>
Hereinafter, a second embodiment of the present invention will be described.
In addition, about the element which an effect | action and function are the same as that of 1st Embodiment in each form illustrated below, the code | symbol used by description of 1st Embodiment is diverted, and each detailed description is abbreviate | omitted suitably.

  The second embodiment is the same as the first embodiment in that the quality degradation factor analysis process and the quality improvement policy formulation process are executed in the management process, but the delay factor analysis process and the schedule improvement policy are the same. It differs from the first embodiment in that the formulation process is not executed.

  FIG. 21 is a functional block diagram illustrating an example of a functional configuration of the management server 1A according to the second embodiment. The production system according to the second embodiment is the same as the production system SYS shown in FIG. 1 except that a management server 1A is provided instead of the management server 1.

As shown in FIG. 21, the management server 1 </ b> A is the same as the management server 1 shown in FIG. 3 except that it includes a control unit 10 </ b> A instead of the control unit 10.
The control unit 10A is the same as the control unit 10 except that it does not include the delay process specifying unit 122, the delay cause determination unit 13, the schedule influence degree calculation unit 142, and the schedule influence determination unit 162.

FIG. 22 is a flowchart illustrating an example of the operation of the management server 1A when executing the management process according to the second embodiment.
As shown in FIG. 22, the management process according to the second embodiment is a diagram except that the delay factor analysis process according to step S18 is not executed and the schedule improvement policy formulation process according to step S22 is not executed. 14 is the same as the management process according to the first embodiment shown in FIG.
The quality degradation factor analysis process executed in step S16 is the same as the quality degradation factor analysis process according to the first embodiment shown in FIG.

FIG. 23 is a flowchart illustrating an example of the operation of the management server 1A when executing the quality improvement policy formulation processing according to the second embodiment.
As shown in FIG. 23, the quality improvement policy formulation processing according to the second embodiment is the quality improvement policy formulation processing according to the first embodiment shown in FIG. 19 except that steps S304, S316, and S318 are not executed. It is the same.

  As described above, according to the present embodiment, the acquisition unit 11 acquires production line information including worker information, member information, and facility information. For example, the acquisition unit 11 acquires only facility information. Compared to the case of acquisition, it is possible to accurately specify the quality degradation process in the quality degradation factor analysis process, and accurately determine the cause Wα [m] of the quality degradation in the process S [m]. Is possible.

  In the present embodiment, the quality degradation process specifying unit 121 is an example of a “specifying unit”, the quality influence degree calculating unit 141 is an example of a “calculating unit”, and the determination in step S104 is “fourth”. The determination in step S110 is an example of “fifth determination”.

<< C. Third Embodiment >>
The third embodiment of the present invention will be described below.

  The third embodiment is the same as the first embodiment in that the delay factor analysis process and the schedule improvement policy formulation process are executed in the management process, but the quality deterioration factor analysis process and the quality improvement policy are the same. It differs from the first embodiment in that the formulation process is not executed.

  FIG. 24 is a functional block diagram illustrating an example of a functional configuration of the management server 1B according to the third embodiment. The production system according to the third embodiment is the same as the production system SYS shown in FIG. 1 except that a management server 1B is provided instead of the management server 1.

As illustrated in FIG. 24, the management server 1B is the same as the management server 1 illustrated in FIG. 3 except that the management server 1B includes a control unit 10B instead of the control unit 10.
The control unit 10B is the same as the control unit 10 except that it does not include the quality degradation process specifying unit 121, the quality influence calculation unit 141, and the quality influence determination unit 161.

FIG. 25 is a flowchart illustrating an example of the operation of the management server 1B when executing the management process according to the third embodiment.
As shown in FIG. 25, the management process according to the third embodiment, except that the quality deterioration factor analysis process according to step S16 is not executed and the quality improvement policy formulation process according to step S20 is not executed, This is the same as the management process according to the first embodiment shown in FIG.

The delay factor analysis process executed in step S18 is the same as the delay factor analysis process according to the first embodiment shown in FIG.
However, the equipment status analysis process (S210) according to the third embodiment is different from the equipment status analysis process according to the first embodiment shown in FIG. 17 in that steps S248 and S250 are not executed.
Further, the worker situation analysis process (S214) according to the third embodiment is different from the worker situation analysis process according to the first embodiment shown in FIG. 18 in that steps S268 and S270 are not executed.

FIG. 26 is a flowchart illustrating an example of the operation of the management server 1A when executing the schedule improvement policy formulation process according to the third embodiment.
As shown in FIG. 26, the schedule improvement policy formulation processing according to the third embodiment is the schedule improvement policy formulation processing according to the first embodiment shown in FIG. 20 except that steps S402, S416, and S418 are not executed. It is the same.

  As described above, according to the present embodiment, the acquisition unit 11 acquires production line information including worker information, member information, and facility information. For example, the acquisition unit 11 acquires only facility information. Compared to the case of acquiring, in the delay factor analysis process, it is possible to accurately specify the delay process, and it is possible to accurately determine the cause Wβ [m] of the delay in the process S [m]. Become.

  In this embodiment, the delay process specifying unit 122 is an example of a “specifying unit”, the delay cause determining unit 13 is an example of a “determining unit”, and the alternative worker selecting unit 15 is an “selecting unit”. The schedule influence determination unit 162 is an example of a “deviation determination unit”, the alternative worker proposal unit 17 is an example of a “proposition unit”, and the determination in step S208 is “first The determination in steps S212, S240, and S260 is an example of “second determination”, and the determination in steps S244 and S264 is an example of “third determination”. .

<< D. Fourth Embodiment >>
The fourth embodiment of the present invention will be described below.

  The production system according to the fourth embodiment is characterized in that a virtual production line VLN (an example of “virtual space”) that reproduces the production line LN can be displayed on the display unit 71 provided in the display device 7.

  FIG. 27 is a functional block diagram illustrating an example of a functional configuration of the management server 1C according to the fourth embodiment. The production system according to the fourth embodiment is the same as the production system SYS shown in FIG. 1 except that a management server 1C is provided instead of the management server 1.

As illustrated in FIG. 27, the management server 1 </ b> C is the same as the management server 1 illustrated in FIG. 3 except that it includes a control unit 10 </ b> C instead of the control unit 10.
The control unit 10 </ b> C is the same as the control unit 10 except that the control unit 10 </ b> C includes an instruction reception unit 181, a reproduction information generation unit 182, and a display control unit 183.

The instruction receiving unit 181 (an example of a “receiving unit”) receives an instruction input by the operator of the management server 1C operating the operation unit 40.
The reproduction information generation unit 182 (an example of “generation unit”) generates reproduction information for reproducing the temporal movement of the production line LN based on the production line information.
The display control unit 183 causes the display unit 71 to display the virtual production line VLN based on the reproduction information.

  28 to 30 show examples of the virtual production line VLN (hereinafter referred to as “display examples”) in which the operation from the time t1 to the time t9 of the production line LN shown in FIG.

  As shown in FIGS. 28 to 30, the virtual production line VLN includes a worker image GH [m] representing the worker H [m], a member image GB-n representing the member Bn, and the facility R [m ] Represents an equipment image GR [m]. Further, in the virtual production line VLN, when a failure occurs in the worker H [m], the member B-n, or the equipment R [m], a failure image GF indicating that the failure has occurred is displayed. .

In the display examples shown in FIG. 28 to FIG. 30, the state in which the member B-1 represented by the member image GB-1 is supplied to the production line LN at the time t1 is displayed.
In the display example, at time t2, the member B-1 represented by the member image GB-1 is supplied to the process S [1], and the equipment R [1] represented by the equipment image GR [1] A state of performing work on the member B-1 is displayed.
In the display example, the state in which the member B-2 represented by the member image GB-2 is supplied to the production line LN at time t3 is displayed.

In the display example, at time t4, the member B-1 represented by the member image GB-1 is supplied to the process S [2] and the worker H [2] represented by the worker image GH [2]. Works on the member B-1, and the member B-2 represented by the member image GB-2 is supplied to the process S [1], and the facility R represented by the facility image GR [1]. [1] displays a state in which work is performed on the member B-2.
In the display example, at time t5, the member B-3 represented by the member image GB-3 is supplied to the production line LN, and the equipment R [1] represented by the equipment image GR [1] is defective. A fault image GF indicating that the error has occurred is displayed.
Also, in the display example, at time t6, the worker H [2] represented by the worker image GH [2] is in trouble with the trouble that has occurred in the equipment R [1] represented by the equipment image GR [1]. A state of taking action is displayed. In the display example, since the equipment R [1] is defective at time t6, the process S [1] is stopped and the worker H [2] is away from the process S [2]. A state in which the process S [2] is also stopped is displayed.

In the display example, at time t7, the member B-4 represented by the member image GB-4 is supplied to the production line LN, and is generated in the facility R [1] represented by the facility image GR [1]. A fault image GF indicating that the fault has continued is displayed. In the display example, the state where the stop of the process S [1] and the process S [2] is continued at the time t7 is displayed.
Further, in the display example, at time t8, the defect that occurred in the facility R [1] represented by the facility image GR [1] is resolved, the defect image GF disappears, and the operator H [2] The state returned to [2] is displayed. In the display example, the process S [1] and the process S [2] are resumed at time t8, and the worker H [2] represented by the worker image GH [2] is applied to the member B-2. In addition, the state in which the equipment R [1] represented by the equipment image GR [1] performs the work on the member B-3 is displayed.
In the display example, at time t9, a failure image GF indicating that a failure has occurred in the member B-1 (product BP-1) represented by the member image GB-1 is displayed.

  As described above, in this embodiment, the virtual production line VLN that reproduces the temporal movement of the production line LN is displayed on the display unit 71. Therefore, the operator of the management server 1C can easily check the movement of the member Bn, the worker H [m], and the equipment R [m] over time in the production line LN. Thereby, in this embodiment, when a malfunction occurs in the production line LN, it is possible to easily grasp how the worker H [m] has responded to the malfunction. It is possible to easily grasp how the defect has affected the production of the product BP in the production line LN.

  In the display example according to the present embodiment, the virtual production line VLN represents the movement of the entire production line LN over time, but the virtual production line VLN is a time-lapse for some components of the production line LN. The virtual production line VLN may represent a movement for a part of the operation period of the production line LN.

  For example, when the instruction receiving unit 181 receives an instruction (an example of “first instruction”) for specifying the worker H [m] input by the operator of the management server 1C by operating the operation unit 40, the reproduction is performed. The information generation unit 182 may generate worker reproduction information (an example of “first reproduction information”) indicating the temporal movement of the worker H [m]. In this case, the display control unit 183 represents the movement of the worker H [m] over time in the virtual production line VLN based on the worker reproduction information.

  Further, when the instruction receiving unit 181 receives an instruction (an example of “second instruction”) for specifying the member B-n, which is input by the operator of the management server 1C operating the operation unit 40, reproduction information generation is performed. The unit 182 may generate member reproduction information (an example of “second reproduction information”) indicating the movement of the member Bn over time. In this case, the display control unit 183 represents the movement of the member Bn over time in the virtual production line VLN based on the member reproduction information.

  Further, when the instruction receiving unit 181 receives an instruction (an example of “third instruction”) for specifying the equipment R [m], which is input by the operator of the management server 1C by operating the operation unit 40, the reproduction information The generation unit 182 may generate facility reproduction information (an example of “third reproduction information”) indicating the movement of the facility R [m] over time. In this case, the display control unit 183 represents the movement of the equipment R [m] over time in the virtual production line VLN based on the equipment reproduction information.

DESCRIPTION OF SYMBOLS 1 ... Management server, 7 ... Display apparatus, 8 ... Inspection apparatus, 9 ... Access point, 10 ... Control part, 11 ... Acquisition part, 12 ... Process specification part, 13 ... Delay cause determination part, 14 ... Influence degree calculation part, DESCRIPTION OF SYMBOLS 15 ... Alternative worker selection part, 16 ... Influence determination part, 17 ... Alternative worker proposal part, 20 ... Memory | storage part, 30 ... Communication part, 40 ... Operation part, 50 ... Information reading part, 121 ... Quality degradation process specification part , 122 ... delay process specifying unit, 141 ... quality influence degree calculating part, 142 ... schedule influence degree calculating part, 161 ... quality influence determining part, 162 ... schedule influence determining part, CM ... detecting device, EV ... environmental information measuring device, LN ... production line, R ... equipment, SYS ... production system, TM ... terminal equipment.

Claims (17)

A management device for managing a production line for producing products,
Facility information on one or more facilities in a plurality of processes included in the production line;
Worker information relating to one or more workers in the plurality of steps;
Member information regarding intermediate products generated in the process of producing the product in the production line;
An acquisition unit for acquiring production line information including
If the production forecast of the product in the production line has deviated,
Based on the production line information,
Among a plurality of processes included in the production line,
A specific unit that identifies a delay process that causes the deviation of the premise; and
Based on the production line information,
A determination unit for determining a cause of delay in the delay step;
Comprising
A management device characterized by that. The member information is
Indicating the position of the intermediate product;
The specific part is:
Based on the member information,
Identifying the delay step;
The management apparatus according to claim 1, wherein: The facility information is
Indicate the location and status of the one or more facilities;
The worker information is
Showing the position and status of the one or more workers;
The determination unit
Based on the equipment information,
The delay in the delay step is
A first determination for determining whether or not it is caused by a state of equipment corresponding to the delay step;
Based on the facility information and the worker information,
The delay in the delay step is
Based on the equipment corresponding to the delay process,
A second determination for determining whether or not the position is caused by an operator corresponding to the delay step;
Based on the worker information,
The delay in the delay step is
A third determination for determining whether or not it is caused by the state of the worker corresponding to the delay step;
Is possible and
By performing a part or all of the first determination, the second determination, and the third determination,
Determining the cause of the delay in the delay step;
The management apparatus according to claim 1, wherein the management apparatus is characterized in that: The determination unit
The result of the first determination is affirmative, and
If the result of the second determination is affirmative,
The delay in the delay step is
A determination is made that the worker is not responding to the failure that occurred in the facility;
The management apparatus according to claim 3, wherein: The determination unit
The result of the first determination is affirmative;
The result of the second determination is negative;
If the result of the third determination is affirmative,
The delay in the delay step is
A determination is made that the worker is caused by the ability to cope with a failure occurring in the facility;
The management apparatus according to claim 3 or 4, wherein If the result of the second determination is affirmative, or
In the case where the result of the third determination is affirmative,
An operator different from the one operator corresponding to the delay process,
A selection unit for selecting other workers not corresponding to the delay process;
When changing the worker corresponding to the delay process from the one worker to the other worker,
A divergence determination unit that determines whether or not the divergence of the premise is suppressed; and
Comprising
The management apparatus according to claim 3, wherein the management apparatus is any one of claims 3 to 5. If the result of determination in the deviation determination unit is affirmative,
An operator corresponding to the delay process is
A suggestion unit that makes a proposal to change from the one worker to the other worker;
Comprising
The management apparatus according to claim 6, wherein: A management device for managing a production line for producing products,
Facility information indicating the state of one or more facilities in a plurality of processes included in the production line;
Worker information indicating the state of one or more workers in the plurality of steps;
The quality of the product, and
Member information indicating the state of the intermediate product generated in the process of producing the product in the production line,
An acquisition unit for acquiring production line information including
If the quality of the product is lower than the predetermined quality,
Based on the production line information,
A calculation unit for calculating the degree of influence of each of a plurality of processes included in the production line with respect to a decrease in the quality of the product;
Based on the calculation result of the calculation unit,
Among a plurality of processes included in the production line,
A specific unit that identifies a quality degradation process that causes a decline in the quality of the product;
Comprising
A management device characterized by that. The calculation unit includes:
Based on the equipment information,
Due to the state of the equipment corresponding to each of the plurality of steps,
A fourth determination for determining whether or not each of the plurality of steps reduces the quality of the product;
Based on the worker information,
Due to the state of the worker corresponding to each of the plurality of steps,
A fifth determination for determining whether each of the plurality of steps reduces the quality of the product;
By executing at least one of
Calculating the degree of influence of each of a plurality of processes included in the production line with respect to a decrease in the quality of the product;
The management apparatus according to claim 8, wherein: A management device for managing a production line for producing products,
Facility information indicating the position and state of one or more facilities in the production line;
Worker information indicating the position of one or more workers in the production line;
Generated in the process of producing one or more products in the production line,
Member information indicating the position and state of one or more intermediate products;
An acquisition unit for acquiring production line information including
Based on the production line information,
In part or all of the production period from the start of production of the product to completion of the product,
At least one of a change in position and a change in state of the one or more facilities;
In part or all of the production period,
A change in the position of the one or more workers;
In part or all of the production period,
At least one of a change in position and a change in state of the one or more intermediate products,
At least partly,
A generation unit for generating reproduction information for reproduction on the display unit;
Comprising
A management device characterized by that. Among the one or more workers in the production line,
A reception unit for receiving a first instruction for designating one worker;
With
The generator is
Based on the production line information,
Of the one worker indicated by the first instruction,
Change in position in part or all of the production period,
Generating first reproduction information for reproduction on the display unit;
The management apparatus according to claim 10, wherein: Among the one or more products produced in the production line,
A reception unit for receiving a second instruction for designating one product;
With
The generator is
Based on the production line information,
An intermediate product produced in the process of producing the one product indicated by the second instruction in the production line;
At least one of a change in position and a change in state in part or all of the production period,
Generating second reproduction information for reproduction on the display unit;
The management apparatus according to claim 10 or 11, wherein Among the one or more facilities in the production line,
A reception unit for receiving a third instruction for designating one facility;
With
The generator is
Based on the production line information,
Of the one facility indicated by the third instruction,
At least one of a change in position and a change in state in part or all of the production period,
Generating third reproduction information for reproduction on the display unit;
The management apparatus according to any one of claims 10 to 12, wherein the management apparatus is characterized in that: A display control unit for displaying a virtual space reproducing the production line on the display unit;
With
The display control unit
Based on the reproduction information,
One or more equipment images for displaying the one or more equipments in the virtual space,
The one or more facilities in part or all of the production period;
Change to represent at least one of a change in position and a change in state,
One or more worker images for displaying the one or more workers in the virtual space;
The one or more workers in part or all of the production period;
Change it to represent a change in position,
A product image for displaying the one or more intermediate products in the virtual space;
Of the one or more intermediate products in part or all of the production period;
Change to represent at least one of position change and state change,
The management apparatus according to claim 10, wherein the management apparatus is any one of the above. A processor,
A management device program for managing a production line for producing a product,
The processor;
Facility information on one or more facilities in a plurality of processes included in the production line;
Worker information relating to one or more workers in the plurality of steps;
Member information regarding intermediate products generated in the process of producing the product in the production line;
An acquisition unit for acquiring production line information including
If the production forecast of the product in the production line has deviated,
Based on the production line information,
Among a plurality of processes included in the production line,
A specific unit that identifies a delay process that causes the deviation of the premise; and
Based on the production line information,
A determination unit for determining a cause of delay in the delay step;
Make it work,
A management apparatus program characterized by the above. A processor,
A management device program for managing a production line for producing a product,
The processor;
Facility information indicating the state of one or more facilities in a plurality of processes included in the production line;
Worker information indicating the state of one or more workers in the plurality of steps;
The quality of the product, and
Member information indicating the state of the intermediate product generated in the process of producing the product in the production line,
An acquisition unit for acquiring production line information including
If the quality of the product is lower than the predetermined quality,
Based on the production line information,
A calculation unit for calculating the degree of influence of each of a plurality of processes included in the production line with respect to a decrease in the quality of the product;
Based on the calculation result of the calculation unit,
Among a plurality of processes included in the production line,
A specific unit that identifies a quality degradation process that causes a decline in the quality of the product;
Make it work,
A management apparatus program characterized by the above. A processor,
A management device program for managing a production line for producing a product,
The processor;
Facility information indicating the position and state of one or more facilities in the production line;
Worker information indicating the position of one or more workers in the production line;
Generated in the process of producing one or more products in the production line,
Member information indicating the position and state of one or more intermediate products;
An acquisition unit for acquiring production line information including
Based on the production line information,
In part or all of the production period from the start of production of the product to completion of the product,
At least one of a change in position and a change in state of the one or more facilities;
In part or all of the production period,
A change in the position of the one or more workers;
In part or all of the production period,
At least one of a change in position and a change in state of the one or more intermediate products,
At least partly,
A generation unit for generating reproduction information for reproduction on the display unit;
Make it work,
A management apparatus program characterized by the above.

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