JP7237119B2 - Management device and program for management device - Google Patents

Description

Application of Patent Law Article 30, Paragraph 2 April 11-13, 2018 "Visual Factory" Service Catalog April 11-13, 2018 The 3rd Nagoya Design and Manufacturing Solutions Expo Port Messe Nagoya (Nagoya City) 2-2 Kinjofuto, Minato-ku 1st Exhibition Hall) November 8-10, 2017 3rd IoT/M2M Exhibition Makuhari Messe (2-1 Nakase, Mihama-ku, Chiba)

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

2. Description of the Related Art Conventionally, various types of management devices have been proposed for managing production lines for producing products. For example, in Patent Document 1, by displaying the functions of each of the plurality of facilities provided on the production line on a display device, the functions of each of the plurality of facilities provided on the production line are unified. technology that makes it possible to manage

JP 2012-123445 A

By the way, in a production line, various problems may occur, such as, for example, a delay in the production of products or the production of products with lower quality than desired. In order to smoothly produce products on the production line, it is necessary to grasp the cause of the problem and to promptly respond to the problem when a problem occurs on the production line. However, defects that occur in the production line may be caused by factors other than equipment in the production line. For this reason, in a management device that manages only information related to equipment in the production line, as in the conventional technology, it is not possible to accurately and quickly grasp the cause of defects that occur in the production line, and it is costly to identify the root cause. I had to.

The present invention has been made in view of the above-mentioned circumstances, and one of the problems to be solved is to provide a technique that makes it possible to accurately grasp the cause of defects that occur in the production line compared to the conventional technology. do.

In order to solve the above problems, a management device according to the present invention is a management device for managing a production line for producing a product, wherein equipment information relating to one or more equipment in a plurality of processes included in the production line is provided. and worker information about one or more workers in the plurality of processes, and component information about intermediate products generated in the process of producing the product on the production line. When there is a discrepancy between the actual production of the product on the production line and the production line, a delayed process that causes the discrepancy between the actual production and the production line is identified from among the plurality of processes included in the production line. and a determination unit that determines the cause of the 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 equipment information, it causes a delay in the production of the product compared to the case where the acquisition unit acquires only the equipment information. It is possible to accurately specify the delay step that becomes .
Further, according to the present invention, since the acquisition unit acquires the worker information and the member information in addition to the equipment information, the delay in the delay process is reduced compared to the case where the acquisition unit acquires only the equipment information. It is possible to accurately determine the cause.

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

According to this aspect, since the identifying unit identifies the delayed process based on the member information, for example, the administrator of the management device analyzes the equipment information to identify the delayed process. , it becomes possible to identify the delay steps easily and quickly.

In the management device described above, the facility information indicates the position and state of the one or more pieces of equipment, the worker information indicates the position and state of the one or more workers, and the determination unit includes the A first determination for determining whether or not the delay in the delay step is caused by the state of the equipment corresponding to the delay step based on the equipment information; and based on the equipment information and the worker information, the A second determination for determining whether or not the delay in the delay step is due to the position of the worker corresponding to the delay step with respect to the equipment corresponding to the delay step, and based on the worker information , a third determination for determining whether or not the delay in the delay step is caused by the state of the worker corresponding to the delay step, and the first determination and the second determination and determining the cause of the delay in the delaying step by executing part or all of the third determination.

According to this aspect, the determination unit determines the cause of the delay in the delay step by executing the first determination, the second determination, and the third determination. However, by analyzing the equipment information, it is possible to determine the cause of the delay more easily and quickly than determining the cause of the delay in the delay process.

In the management device described above, the determination unit determines that, if the result of the first determination is affirmative and the result of the second determination is affirmative, the delay in the delaying step is determined by the operator. It may be characterized in that it is determined that the problem is caused by not properly handling the problem that occurred in the equipment.

According to this aspect, when there is a discrepancy in the actual production of the product on the production line due to the worker not taking measures against the failure of the equipment, the cause of the discrepancy in the actual production can be determined. It is possible to comprehend.

In the management device described above, if the result of the first determination is positive, the result of the second determination is negative, and the result of the third determination is positive, the delay It may be characterized in that the delay in the process is determined to be caused by the worker's ability to cope with the failure occurring in the equipment.

According to this aspect, when there is a discrepancy in the actual production schedule of the product on the production line due to the worker's ability to deal with the failure of the equipment, the cause of the discrepancy in the actual schedule can be grasped. becomes possible.

The management device described above, when the result of the second determination is affirmative or when the result of the third determination is affirmative, is a worker different from the one worker corresponding to the delay step. a selection unit that selects another worker who does not correspond to the delay step; and a divergence determination unit that determines whether or not is suppressed.

According to this aspect, when changing the worker in charge of the delayed process, it is possible to determine whether or not it is possible to suppress the divergence between the actual and forecast production of the product in the production line. Therefore, according to this aspect, it is possible to suppress in advance a change in the operator that would increase the divergence between the actual and forecast production of the product on the production line.

The above-described management device includes a proposal unit that proposes to change the worker corresponding to the delay step from the one worker to the other worker when the result of the determination by the divergence determination unit is affirmative. , and may be characterized by:

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

Further, a management device according to the present invention is a management device for managing a production line for producing a product, comprising equipment information indicating the state of one or more equipment in a plurality of processes included in the production line, worker information indicating the state of one or more workers in the process of , quality of the product, and member information indicating the state of intermediate products generated in the process of producing the product on the production line; and an acquisition unit that acquires production line information including a plurality of production lines included in the production line for deterioration of the product quality 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 based on the calculation result of the calculation unit, a quality deterioration process that causes quality deterioration of the product is specified among the plurality of processes included in the production line. and a specifying unit to be used.

According to this invention, the calculation unit calculates the degree of impact on the deterioration of product quality in each of the plurality of processes based on the worker information in addition to the equipment information, and the specifying unit performs the calculation of the calculation unit. Based on the results, identify quality degradation processes that cause product quality degradation. Therefore, according to the present invention, for example, the manager of the management apparatus can identify the quality deterioration process more accurately and quickly than when identifying the quality deterioration process by analyzing the facility information. It becomes possible.

In the management device described above, the calculation unit determines that each of the plurality of steps reduces the quality of the product due to the state of the facility corresponding to each of the plurality of steps, based on the facility information. and a fourth determination for determining whether or not the quality of the product is determined by each of the plurality of steps due to the state of the worker corresponding to each of the plurality of steps based on the worker information calculating the degree of influence of each of the plurality of processes included in the production line on the deterioration of the quality of the product, It may be characterized by

According to this aspect, the calculation unit performs the fourth determination and the fifth determination to calculate the degree of impact on the deterioration of product quality in each of the plurality of steps, and the identification unit performs the calculation Based on the calculation result of the part, the quality deterioration process is specified. Therefore, according to this aspect, for example, the manager of the management device can identify the quality deterioration process more accurately and quickly than when identifying the quality deterioration process by analyzing the equipment information. It becomes possible.

Further, a management device according to the present invention is a management device for managing a production line for producing a product, comprising facility information indicating the position and state of one or more facilities in the production line, and one or more facilities in the production line. Includes worker information indicating the positions of a plurality of workers, and member information indicating the positions and states of one or more intermediate products generated in the process of producing one or more products on the production line an acquisition unit that acquires production line information; and, based on the production line information, positions of the one or more facilities during part or all of a production period from the start of production of the product to the completion of the product. at least one of a change and a change of state; a change in the position of said one or more workers during part or all of said production period; and said one or more intermediate positions during part or all of said production period. and a generation unit that generates reproduction information for reproducing at least part of at least one of the change in position and the change in state of the product on the display unit.

According to this invention, since the acquisition unit acquires the worker information and the member information in addition to the equipment information, the acquisition unit acquires the state of the production line more accurately than when the acquisition unit acquires only the equipment information. can be grasped.
Further, according to the present invention, the generation unit generates reproduction information for reproducing changes in the state of the production line in a visually comprehensible manner on the display unit, based on the production line information. Therefore, according to the present invention, for example, the manager of the management device can easily detect defects that occur in the production line by analyzing the equipment information and grasping changes in the state of the production line. It is possible to judge.

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

According to this aspect, the generator generates the first reproduction information for reproducing the change in the position of the one worker on the display in a visually comprehensible manner based on the production line information. Therefore, according to this aspect, for example, compared with the case where the administrator of the management device grasps the change in the position of the one worker from the equipment information, the change in the position of the one worker can be easily performed. can be grasped.

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

According to this aspect, the generation unit generates the second reproduction information for reproducing the change in the position and state of the intermediate product in a visually comprehensible manner on the display unit, based on the production line information. Therefore, according to this aspect, for example, compared with the case where the administrator of the management device grasps the position and state change of the intermediate product from the equipment information, the change in the position of the intermediate product can be easily performed. can be grasped.

The above-described management device includes a reception unit that receives a third instruction specifying one facility from among the one or more facilities in the production line, and the generation unit, based on the production line information, generating third reproduction information for reproducing, on a display unit, at least one of a change in position and a change in state of the one facility indicated by the third instruction during part or all of the production period; It may be characterized by

According to this aspect, the generation unit generates the third reproduction information for reproducing the change in the position and state of the one facility in a visually comprehensible manner on the display unit, based on the production line information. Therefore, according to this aspect, for example, compared with the case where the administrator of the management device grasps the change in the position and state of the one facility from the facility information, the change in the position of the one facility can be more easily performed. can be grasped.

The management device described above includes a display control unit that causes the display unit to display a virtual space that reproduces the production line, and the display control unit controls the display in the virtual space based on the reproduction information. or one or more equipment images for displaying a plurality of equipment are changed to represent at least one of a change in position and a change in status of the one or more equipment during part or all of the production period. and one or more worker images for displaying the one or more workers in the virtual space representing changes in position of the one or more workers during part or all of the production period. and change the position of the one or more intermediate products during part or all of the production period and the product image for displaying the one or more intermediate products in the virtual space. It may be characterized by being changed to represent at least one of the changes in state.

According to this aspect, the display control unit displays an image representing changes 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 by analyzing the equipment information to grasp the change in the state of the production line. can be grasped.

Further, a program for a management device according to the present invention is a program for a management device that includes a processor and manages a production line for producing products, wherein the processor is one or more processes in a plurality of processes included in the production line. Production including facility information about a plurality of facilities, worker information about one or more workers in the plurality of processes, and material information about intermediate products generated in the process of producing the product on the production line When an acquisition unit that acquires line information deviates from the actual production schedule of the product on the production line, a cause of the deviation in the actual production schedule among a plurality of processes included in the production line based on the production line information. and a determination unit that determines the cause of the delay in the delay process based on the production line information.

According to this invention, it is possible for the acquisition unit to accurately identify the delayed process that causes the delay in the production of the product, compared to the case where only the facility information is acquired.
Moreover, according to the present invention, the acquisition unit can accurately determine the cause of the delay in the delay step, as compared with the case where only the equipment information is acquired.

Further, a program for a management device according to the present invention is a program for a management device that includes a processor and manages a production line for producing products, wherein the processor is one or more processes in a plurality of processes included in the production line. Facility information indicating the status of a plurality of facilities, worker information indicating the status of one or more workers in the plurality of processes, quality of the product, and generated in the process of producing the product on the production line an acquisition unit for acquiring production line information including member information indicating the state of the intermediate product to be processed; a calculation unit that calculates the degree of influence of each of a plurality of processes included in the production line on quality deterioration; It is characterized by functioning as a specification unit that specifies a quality deterioration process that causes quality deterioration of the product.

According to this invention, for example, by analyzing the equipment information, the manager of the management device can identify the quality deterioration process more accurately and quickly than when identifying the quality deterioration process. .

Further, a program for a management device according to the present invention is a program for a management device that includes a processor and manages a production line for producing products, wherein the processor is a program for controlling the position and location of one or more facilities in the production line. equipment information indicating the status, worker information indicating the position of one or more workers on the production line, and one or more intermediate products generated in the process of producing one or more products on the production line an acquisition unit that acquires production line information including component information that indicates the position and state of an object; and a part of a production period from the start of production of the product to the completion of the product based on the production line information, or At least one of a change in position and a change in state of the one or more pieces of equipment in all, a change in the position of the one or more workers in part or all of the production period, and the production period A generation unit that generates reproduction information for reproducing at least part of the one or more intermediate products in part or all of the position change and/or state change on the display unit It is characterized by functioning as

According to this invention, it is possible for the obtaining unit to grasp the state of the production line more accurately than when obtaining only the equipment information.
Further, according to the present invention, for example, by analyzing the equipment information, the manager of the management device can more easily determine defects that occur in the production line compared to grasping changes in the state of the production line. It becomes possible to

It is a block diagram showing an example of composition of production system SYS concerning a 1st embodiment of the present invention. It is an explanatory view for explaining an example of production line LN. 2 is a block diagram showing an example of the 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 state 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. 3 is a diagram showing an example of a hardware configuration of a management server 1; FIG. 6 is a flowchart showing an example of management processing; It is a flow chart which shows an example of quality degradation factor analysis processing. 9 is a flowchart showing an example of delay factor analysis processing; It is a flow chart which shows an example of equipment situation analysis processing. It is a flow chart which shows an example of worker situation analysis processing. 6 is a flowchart showing an example of quality improvement policy formulation processing; It is a flow chart which shows an example of schedule improvement policy formulation processing. It is a block diagram which shows an example of a structure of 1 A of management servers which concern on 2nd Embodiment. FIG. 11 is a flowchart showing an example of management processing according to the second embodiment; FIG. FIG. 11 is a flowchart showing an example of quality improvement policy formulation processing according to the second embodiment; FIG. It is a block diagram which shows an example of a structure of the management server 1B which concerns on 3rd Embodiment. FIG. 12 is a flowchart showing an example of management processing according to the third embodiment; FIG. FIG. 12 is a flowchart showing an example of schedule improvement policy formulation processing according to the third embodiment; FIG. It is a block diagram which shows an example of a structure of 1 C of management servers which concern on 4th Embodiment. FIG. 14 is an explanatory diagram showing a display example according to the fourth embodiment; FIG. 14 is an explanatory diagram showing a display example according to the fourth embodiment; FIG. 14 is an explanatory diagram showing a display example according to the fourth embodiment;

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments for carrying out the present invention will be described with reference to the drawings. In each drawing, the dimensions and scale of each part are appropriately different from the actual ones. In addition, since the embodiments described below are preferred specific examples of the present invention, they are subject to various technically preferable limitations. It is not limited to these forms unless stated otherwise.

<<A. First Embodiment>>
A first embodiment of the present invention will be described below.

<<1. Outline of the production system＞＞
FIG. 1 is a diagram showing an example of the configuration of a production system SYS according to this embodiment. An example of the outline of the configuration of the production system SYS will be described below with reference to FIG.

As shown in FIG. 1, the production system SYS displays a production line LN for producing products BP, a management server 1 (an example of a "management device") for managing the production line LN, and various information. a display device 7 having a display unit for, an inspection device 8 for inspecting the product BP produced on the production line LN, one or more detection devices CM, one or more terminal devices TM, each terminal It comprises an access point 9 capable of communicating with the device TM, an environment information measuring device EV for measuring physical quantities relating to the environment of the production line LN, and a network NW for interconnecting various components of the production system SYS.

The production line LN produces products BP by subjecting raw materials to various treatments. In the following description, the product BP, the raw materials for producing the product BP, and the intermediate products produced in the process of producing the product BP on the production line LN are collectively referred to as the member B.
Moreover, in this embodiment, the case where the production line LN includes one or a plurality of facilities R and one or a plurality of workers H is assumed as an example.

Here, the facility 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. It is a component of the production line LN for performing various treatments on the

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

The terminal device TM is a portable electronic device that the worker H can carry. In this embodiment, as an example, it is assumed that each worker H has one terminal device TM.
Moreover, in this embodiment, as an example, it is assumed that the terminal device TM has a function of specifying its own position. Then, in the present embodiment, the terminal device TM periodically transmits terminal position information indicating the identified self-position to the management server 1 via the access point 9 .
Further, in the present embodiment, as an example, it is assumed that the terminal device TM has a function of detecting biometric information of the worker H possessing 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 pulse of the worker H or the body temperature of the worker H, for example. Then, in this embodiment, the terminal device TM periodically transmits the detected biometric information to the management server 1 via the access point 9 .
Note that, hereinafter, terminal position information and biometric 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 the area corresponding to the detection device CM in the production line LN. Then, 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, the detection device CM has an imaging function for imaging the production line LN, and when an image showing the member B is included in the image captured by the imaging function, the detection device CM detects the member B. and an extraction function for extracting the image shown.
In addition to the member B on the production line LN, the detection device CM may be capable of detecting the presence of the worker H on the production line LN, and may be capable of detecting the presence of the facility R on the production line LN. good too.

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

In addition, below, detection result information and inspection result information may be collectively called member report information.
Also, hereinafter, terminal report information, component report information, and facility report information may be collectively referred to as report information.

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

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

In this embodiment, it is assumed that the production line LN includes M processes S[1] to S[M] (M is a natural number that satisfies M≧2).
Further, hereinafter, among the one or more equipment R in the production line LN, the equipment R corresponding to the process S[m] will be referred to as equipment R[m], and the one or more workers H in the production line LN , the worker H corresponding to the process S[m] is called the worker H[m], and the member B output from the process S[m] among the members B in the production line LN is called the member B[m]. (m is a natural number that satisfies 1≤m≤M).
Further, hereinafter, when a plurality of products BP are produced in the production line LN, the n-th product BP produced among the plurality of products BP is referred to as a product BP-n (n is n≧1 a natural number that satisfies Further, hereinafter, when the product BP-n is produced on the production line LN, the member B output from the process S[m] is referred to as the member B-n[m].
Also, hereinafter, of the space in which the production line LN is provided, the area corresponding to the process S[m] will be referred to as area Ar[m]. In the following, for convenience of explanation, any 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 the space in which the production line LN is provided.

FIG. 2 illustrates a case where the production line LN includes four processes S[1] to S[4] (that is, when M=4).
In FIG. 2, step S[1] is a step of drilling a hole in member B by equipment R[1], and step S[2] is a step of polishing member B by worker H[2]. Step S[3] is a step of transporting the member B by the equipment R[3], and Step S[4] is the operation of the member B by the operator H[4] operating the equipment R[4]. The case of the process of assembling B and other members is illustrated.

<<2. Overview of Management Server >>
The outline of the management server 1 will be described below with reference to FIGS. 3 to 13. FIG.

<<2.1. Overview of Management Server Functions >>
FIG. 3 is a functional block diagram showing an example of the functional configuration of the management server 1. As shown in FIG.

As shown in FIG. 3, the management server 1 includes a control unit 10 that controls each unit of the management server 1, a storage unit 20 that stores various information, and communication between the display device 7 and an external device such as the facility R. , an operation unit 40 for receiving operations by the 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 impact calculation unit 14, a substitute worker selection unit 15, and an impact determination unit 16. , and a substitute worker proposing unit 17 .

Acquisition unit 11 acquires report information. Specifically, the acquisition unit 11 acquires terminal report information transmitted from the terminal device TM, component report information transmitted from the detection device CM and the inspection device 8, and facility report information transmitted from the facility R. get.
Based on the report information, the acquisition unit 11 obtains worker position information (see FIG. 8) indicating the position of the worker H on the production line LN, and worker status information (see FIG. 9) indicating the state of the worker H. ), member position information indicating the position of member B on the production line LN (see FIG. 11), member state information indicating the state of member B (see FIG. 11), and the position of equipment R on the production line LN. 5) and equipment status information indicating the status of the equipment R (see FIG. 6) are generated, and the generated information is stored in the storage unit 20. FIG.

Hereinafter, information including worker position information, worker state information, and worker basic information (see FIG. 7), which will be described later, may be referred to as worker information. Although the details will be described later, the worker basic information is information stored in the storage unit 20 .
Further, hereinafter, information including member position information and member state information may be referred to as member information.
Further, hereinafter, information including facility position information, facility state information, and facility basic information (see FIG. 4), which will be described later, may be referred to as facility information. The basic equipment information is information stored in the storage unit 20, although the details will be described later.
Further, hereinafter, information including worker information, component information, equipment information, environment information, process information (see FIG. 10) described later, and schedule information (see FIG. 12) described later will be used as production information. It may be called line information.

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

The process identifying section 12 includes a quality deterioration process identifying section 121 and a delayed process identifying section 122 .
When the quality of the product BP is lower than a predetermined quality, the quality deterioration process identification unit 121 identifies the cause of the quality deterioration from among the processes S[1] to S[M] based on the production line information. identify quality-degrading processes.
When there is a delay in the production of the product BP on the production line LN, the delayed process identifying unit 122 identifies the cause of the delay from among the processes S[1] to S[M] based on the production line information. Identify delay steps.

The delay cause determination unit 13 determines the cause of the delay based on the production line information when the production of the product BP on the production line LN is delayed.

The impact calculator 14 includes a quality impact calculator 141 and a schedule impact calculator 142 .
The quality influence degree calculator 141 calculates the quality influence degree α[m], which is the magnitude of the influence of the process S[m] on the deterioration of the quality of the product BP, based on the production line information.
Based on the production line information, the schedule impact calculator 142 calculates the schedule impact β[m], which is the magnitude of the impact of the process S[m] on the delay in the production of the product BP on the production line LN. Calculate

If the quality deterioration of the product BP is caused by the worker H[m] performing the work in the process S[m], the alternative worker selection unit 15 selects the worker H[m] to perform the work in the process S[m]. A substitute worker H[m ⁺ ] that can be performed instead of H[m] is selected (m ⁺ is a natural number other than m that satisfies 1≦m ⁺ ≦M).
In addition, the substitute worker selection unit 15 selects the process S[m] when the delay in the production of the product BP on the production line LN is caused by the worker H[m] who is working in the process S[m]. A substitute worker H[m ⁺ ] who can perform the work in instead of the worker H[m] is selected.

The impact determination unit 16 includes a quality impact determination unit 161 and a schedule impact determination unit 162 .
When the worker H in charge of the work in the process S[m] is changed from the worker H[m] to the substitute worker H[m ⁺ ], the quality impact determination unit 161 improves the quality of the product BP. Determine whether or not
When the worker H in charge of the work in the process S[m] is changed from the worker H[m] to the substitute worker H[m ⁺ ], the schedule impact determination unit 162 determines the amount of the product BP in the production line LN. Determine whether production delays can be suppressed.

When the result of the determination by the quality impact determination unit 161 is affirmative, or when the result of the determination by the schedule impact determination unit 162 is affirmative, the substitute worker proposing unit 17 selects the work to be in charge of the work in the process S[m]. A proposal is made to change the worker H from the worker H[m] to the substitute 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, an equipment position information table TBL2, an equipment status information table TBL3, an operator basic information table TBL4, an operator position information table TBL5, a work A worker status information table TBL6, a process information table TBL7, a component information table TBL8, a schedule information table TBL9, an environment information table TBL10, and a control program PRG of the management server 1 are stored.

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

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

Here, the facility ID is information for uniquely identifying each facility R among one or more facilities R existing in the production line LN.
The basic facility information includes, for example, the facility name, which is the name of each facility R, the assigned process information representing the process S[m] corresponding to each facility R, and whether each facility R is a fixed facility or a movable facility. It is information including moveability information indicating which one it is, and operation start time information indicating when each facility R was introduced into the production line LN and started operating.

FIG. 5 is a diagram showing an example of the data structure of the facility location information table TBL2.

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

Here, the equipment position management ID uniquely identifies each fixed equipment out of one or more fixed equipment existing on the production line LN, and one or more movable equipment existing on the production line LN. This is information for uniquely identifying each piece of facility position report information among all the facility position report information transmitted from.
The facility position information indicates, for example, the facility ID corresponding to each facility R, facility location information representing the coordinates of each facility R on the production line LN, and the area Ar[m] where each facility R exists. It is information including equipment existence area information. Note that if the facility R is a movable facility, the facility position information includes the time when the facility R transmitted the facility position 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 location area information included in the facility location information is , indicates an area Ar[m] including the location of the facility R represented by the facility location report information.

When a fixed facility is introduced into the production line LN, the acquisition unit 11 creates a new record in the facility position information table TBL2, and stores the facility indicating the position of the introduced fixed facility in the new record. Store location information.
When acquiring the facility position report information transmitted from the movable facility, the acquisition unit 11 creates a new record in the facility position information table TBL2, and displays the new record with the facility position report information. Facility position information indicating the position of the movable facility to be installed is stored.

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

As exemplified in FIG. 6, the facility status information table TBL3 includes one or a plurality of tables that correspond one-to-one with all facility operation report information transmitted from one or a plurality of facilities R existing on the production line LN. have records. Each record of the equipment status information table TBL3 stores an equipment status management ID and equipment status information.

Here, the equipment status management ID is information for uniquely identifying each piece of equipment operation report information among all the equipment operation report information transmitted from one or a plurality of pieces of equipment R existing on the production line LN. is.
The facility status information includes, for example, the facility ID corresponding to the facility R that has transmitted the facility operation report information, the time at which the facility R transmitted the facility operation report information, and the facility R represented by the facility operation report information. and equipment operation information indicating the state of In this embodiment, the equipment operation information includes a value indicating that the operation of the equipment R is “normal”, a value indicating that the operation of the equipment R is “unstable”, and a value indicating that the operation of the equipment R is “unstable”. Any one of three values indicating "abnormal stop" by .

When acquiring the equipment operation report information transmitted from the equipment R, the acquisition unit 11 creates a new record in the equipment status 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 showing an example of the data structure of the worker basic information table TBL4.

As illustrated in FIG. 7, the worker basic information table TBL4 has one or more records in one-to-one correspondence with one or more workers H present 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 among one or more workers H present on the production line LN.
Further, the worker basic information includes, for example, the name of each worker H, assigned process information indicating the process S[m] to which each worker H is in charge, skills related to the production of the product BP of each worker H The information includes worker skill information indicating the level.

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

As exemplified in FIG. 8, the worker position information table TBL5 has one or more than one table corresponding to all terminal position information transmitted from one or more terminal devices TM present on the production line LN. has a record of 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 among all the terminal position information transmitted from one or more terminal devices TM existing on the production line LN. is.
Further, the worker location information is, for example, the worker ID of the worker H who owns the terminal device TM that sent the terminal location information, the time when the terminal device TM sent the terminal location information, and the terminal location information. The position of the terminal device TM represented, that is, the worker presence position information indicating the position of the worker H possessing the terminal device TM, and the area Ar[ corresponding to the position of the terminal device TM represented by the terminal position information m].

When acquiring the terminal position information transmitted from the terminal device TM, the acquiring unit 11 creates a new record in the worker position information table TBL5, and stores the terminal position information in the new record. Worker position information indicating the position of the worker H is stored.

FIG. 9 is a diagram showing an example of the data structure of the worker status information table TBL6.

As exemplified in FIG. 9, the worker status information table TBL6 includes one or a plurality of biometric information that correspond one-to-one with all biometric information transmitted from one or a plurality of terminal devices TM present on the production line LN. have records. 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 piece of biological information out of all pieces of biological information transmitted from one or more terminal devices TM present on the production line LN. .
The worker status information is represented by, for example, the worker ID of the worker H possessing the terminal device TM that transmitted the biological information, the time at which the terminal device TM transmitted the biological information, and the biological information. and worker physical condition information indicating the condition of the worker H. In the present embodiment, the physical condition information of the worker H is a value indicating that the physical condition of the worker H is "good", and a value indicating that the physical condition of the worker H is "bad" to the extent that the work efficiency of the worker H is lowered. and a value indicating that the physical condition of the worker H is "abnormal" to the extent that the work 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 in the worker status information table TBL6, and stores the work represented by the biometric information in the new record. Worker status information indicating the status of worker H is stored.

FIG. 10 is a diagram showing an example of the data structure of the process information table TBL7.

As illustrated in FIG. 10, the process information table TBL7 has M records in one-to-one correspondence with the M processes S[1] to S[M] existing on the production line LN. 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] out of the M processes S[1] to S[M] existing on the production line LN.
Further, the process information includes, for example, the work content in the process S[m], the process position information indicating the position of the process S[m] in the production line LN, and the facility R and the worker H in the process S[m]. Process resource information indicating whether or not it exists, process difficulty information indicating the difficulty level of the process S[m], and the maximum time length allowed for work on one member B in the process S[m]. This information includes the allowable process execution time Tth[m].
Among these, the process position information includes, for example, process-corresponding area information indicating an 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]. Area position information expressed in the coordinate system ΣL, process start position information indicating the position where the member B exists when the work related to the process S[m] for the member B is started, and the process S[m ] and process end position information indicating the position where the member B is present when the work related to ] is finished.
Further, the process resource information includes, for example, equipment presence/absence information indicating whether or not the equipment R[m] corresponding to the process S[m] exists, and the worker H[m] corresponding to the process S[m]. and worker presence/absence information indicating whether or not the worker exists.

FIG. 11 is a diagram showing an example of the data structure of the member information table TBL8.

As illustrated in FIG. 11, the member information table TBL8 has one or more records in one-to-one correspondence with all the member report information transmitted from the detection device CM or inspection device 8 . 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 out of all the member report information transmitted from the detection device CM or the inspection device 8 .
Further, the component information is, for example, for uniquely identifying the component B-n to be reported by the component report information from among the multiple components B corresponding to the multiple products BP produced on the production line LN. , the time when the detection device CM or the inspection device 8 sent the member report information, the member position information indicating the position of the member Bn represented by the member report information, and the member report information. and member state information indicating the state of the member B-n to be processed.

Among these, the member state information includes, for example, member existing 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-n in the process S[m]. This information includes in-process work progress information indicating the progress of the work for n, and member quality information indicating the quality of the member Bn represented by the member report information.

In the present embodiment, the intra-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,” It will indicate one of three values: a value indicating that it is "in progress" and a value indicating that the work on member B-n in process S[m] is "finished".
In the following, the time when the work on the member B is started in the process S[m] is called the process start time Tin[m], and the time when the work on the member B is finished in the process S[m] is called the process end. The time Tout[m] may be called, and the time from the process start time Tin[m] to the process end time Tout[m] may be called the process execution time Twk[m].
Further, in the present 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, the quality is lower than the predetermined quality. and that the quality of member B-n is "unknown".

When the acquisition unit 11 acquires the member report information transmitted from the detection device CM or the inspection device 8, it creates a new record in the member information table TBL8, and updates the new record based on the member report information. Member information indicating the position and state of the member B-n to be represented is stored.

Specifically, when acquiring the component report information transmitted from the inspection device 8, that is, the inspection result information, the acquisition unit 11 creates a new record in the component information table TBL8, and in the new record , the position where the inspection device 8 is provided is stored as member position information, and the quality inspection result of the member B-n by the inspection device 8 is stored as member quality information.
In this case, the acquiring unit 11 obtains, as member quality information, either 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. set the value. In this case, the acquiring unit 11 stores, for example, the last process S[M] as the member-existing process information, and stores the work for the member Bn in the process S[M] as the in-process work progress information. store a value indicating that

On the other hand, when the acquisition unit 11 acquires the member report information transmitted from the detection device CM, that is, the detection result information, it creates a new record in 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 member quality information, a value indicating that the quality of the member B-n is unknown is stored.
In this case, if 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 obtains the in-process work progress information. , a value indicating that the work in the process S[m] is "started" is set. Further, 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 end position information in the area Ar[m], the acquisition unit 11 determines that the in-process work As the progress information, a value indicating that the work in the process S[m] is "finished" is set. In this case, the acquiring unit 11 determines that the position of the member B-n[m] indicated by the member position information is the range indicated by the process start position information and the range indicated by the process end position information in the area Ar[m]. is included in a different range, a value indicating that the work in the process S[m] is "in progress" may be set as the intra-process work progress information.

FIG. 12 is a diagram showing an example of the data structure of the schedule information table TBL9.

As exemplified in FIG. 12, the schedule information table TBL9 is 1 or 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 out of all the works executed in the M processes S[1] to S[M].
The schedule information includes, for example, the member ID of the member Bn that is the target of each work, the scheduled work process information indicating the process S[m] in which each work is performed, the scheduled start time of each work, and Scheduled work time information indicating the scheduled end time.

The environment information table TBL10 shown in FIG. 3 is a table for storing the environment information transmitted from the environment information measuring device EV. When acquiring the environment information transmitted from the environment information measuring device EV, the acquiring unit 11 stores the acquired environment information in the environment information table TBL10 after associating the acquired environment information with the acquired time.

<<2.3. Management server hardware configuration overview >>
FIG. 13 is a configuration diagram showing an example of the hardware configuration of the management server 1. As shown in FIG.

As shown in FIG. 13, the management server 1 includes a processor 1000 that controls each part of the management server 1, a memory 1001 that stores various information, and a device for communicating with external devices existing outside the management server 1. It comprises a communication device 1002, an input operation device 1003 for accepting operations by the 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 for the processor 1000, and an EEPROM (Electrically Erasable Programmable Read-Only Memory) that stores various information such as the control program PRG for the management server 1. ), etc., and provides the function as the storage unit 20 .
The processor 1000 is, for example, a CPU (Central Processing Unit), 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 communicating 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 operations of the operator of the management server 1 .
The disk device 1004 is, for example, an optical disk device, and provides a function as an information reading unit 50 for reading various information such as a control program PRG recorded on a recording medium such as an optical disk.

Note that 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 in place of the CPU. It may be In this case, part or all of the control unit 10 implemented by the processor 1000 may be implemented by hardware such as a DSP.

<<3. Overview of Management Server Operations >>
An example of the operation of the management server 1 will be described below with reference to FIGS. 14 to 20. FIG.

<<3.1. Overview of management processing >>
FIG. 14 is a flow chart showing an example of the operation of the management server 1 when the management server 1 executes management processing. Note that, in the present 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).

Then, the control unit 10 determines whether or not the quality of the product BP-n is equal to or higher than a predetermined quality based on the 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 on 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. (S14).
The delay in the production of the product BP-n on the production line LN means that the actual completion time of the production of the product BP-n indicated by the material information is the scheduled completion time of the production of the product BP-n indicated by the schedule information. It is to be delayed by a predetermined time or more.
Here, the "actual completion time of production of the product BP-n" means, for example, that in the member information table TBL8, the member ID indicates a value corresponding to the product BP-n, and the member-existing process information indicates the final process. This is the time recorded in the record indicating S[M] and the in-process work progress information indicating "end".
Also, the "scheduled time of completion of production of product BP-n" means, for example, that in the schedule information table TBL9, the member ID indicates a value corresponding to product BP-n, 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].

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

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

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

After that, the control unit 10 determines whether or not the management process ends (S24). Then, if the result of determination in step S24 is affirmative, the control unit 10 terminates the management process shown in FIG. If the result of determination in step S24 is negative, control unit 10 advances the process to step S10.

<<3.2. Overview of Quality Degradation Factor Analysis Processing >>
FIG. 15 is a flow chart showing an example of the operation of the management server 1 when the management server 1 executes quality deterioration factor analysis processing.

As shown in FIG. 15, when the quality deterioration factor analysis process is started, the quality influence calculation unit 141 first sets "1" to the variable m (S100).

Next, the quality influence calculation unit 141 determines whether or not the facility R[m] exists in the process S[m] (S102).
Specifically, in step S102, for example, the quality impact calculation unit 141 determines whether or not equipment is 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].
If the result of determination in step S102 is negative, the quality impact calculation unit 141 advances the process to step S108.

By the way, in the present embodiment, the following causes w1 to w4 exist as the cause Wα[m] of the quality deterioration 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 deterioration in previous process

"Cause w1: state of equipment R" is, for example, a case where quality deterioration or delay occurs in process S[m] due to a problem occurring in equipment R[m]. Here, the case where the facility R[m] has a problem means that the facility operation information corresponding to the facility R[m] indicates "unstable" or "abnormal stop".

“Cause w2: status of worker H” is, for example, a case where quality deterioration or delay occurs in process S[m] because worker H has a problem.
Note that, in this embodiment, as an example, a case where the worker H has a problem, a case where the worker H is not in good physical condition, and a case where the worker H It includes both the concept of low skill level and low skill level.
Here, when the physical condition of the worker H is not good is when the physical condition information of the worker H indicates "abnormal" or "unwell".
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 information corresponding to the process S[m]. This is the case when the obtained skill deviation value is larger than a predetermined allowable value.

“Cause w3: Position of worker H” is, for example, a delay in process S[m] because worker H who should be in area Ar[m] does not exist in area Ar[m]. is occurring.

“Cause w4: Quality deterioration in the previous process” is, for example, the quality deterioration in the previous process of the process S[m], that is, in the processes S[1] to S[m−1]. ] is delayed.

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

Further, in this embodiment, influence coefficients k0 to k4 are defined for causes w0 to w4, respectively.

The influence coefficient k1 is the delay in the production of the product BP on the production line LN or the production of the product BP is the magnitude of the effect of the process S[m] on the quality deterioration of
In this embodiment, as an example, the influence coefficient k1 is defined as a constant that satisfies "k1>0". However, the influence coefficient k1 is a larger value 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 to

The influence coefficient k2 is the delay in the production of the product BP on the production line LN or the product produced on the production line LN when "cause w2: state of worker H" exists in the process S[m]. This is the magnitude of the effect of the process S[m] on the quality deterioration of BP.
In this embodiment, as an example, the influence coefficient k2 is defined as a constant that satisfies "k2>0". However, the influence coefficient k2 is set to a larger value when the worker H's physical condition information is "abnormal" than when the worker H's physical condition information is "unwell". good too. Also, the influence coefficient k2 may be set to a value corresponding to the skill deviation value. Specifically, when the skill deviation value is large, the influence coefficient k2 may be set to a larger value than when the skill deviation value is small.

The influence coefficient k3 is the effect of the process S[m] on the delay in the production of the product BP on the production line LN when "cause w3: position of the worker H" exists in the process S[m]. It is the size of the impact.
In this embodiment, as an example, the influence coefficient k3 is defined as a constant that satisfies "k3>0". However, the influence coefficient k3 may be set to a value corresponding to the distance between the area Ar[m] and the position where the worker H who should be in the area Ar[m] actually exists.

The influence coefficient k4 is the effect of the process S[m] on the production delay of the product BP on the production line LN when "cause w4: quality deterioration in the previous process" exists in the process S[m]. It is the size of the impact.
Note that when the cause w4 exists in the process S[m], the delay in the process S[m] is only a result of 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], if the quality deterioration in the processes S[1] to S[m−1] is eliminated, the production of the product BP on the production line LN The effect of the process S[m] on the delay of is also eliminated. Therefore, in this embodiment, as an example, the influence coefficient k4 is defined as "k4=0".

The influence coefficient k0 is the magnitude of the influence of the process S[m] on the delay in the production of the product BP on the production line LN when "cause w0: unknown cause" exists in the process S[m]. It is.
In this embodiment, as an example, the influence coefficient k0 is defined as a constant that satisfies "k0>0".

Returning the description to FIG.
As shown in FIG. 15, when the result of determination in step S102 is affirmative, the quality impact degree calculation unit 141 determines that the equipment R It is determined whether or not there is a problem with [m] (S104).
Specifically, in step S104, the quality impact degree calculation unit 141 first stores a record in the member information table TBL8 indicating that the work for the member B-n is being executed in the process S[m]. Get the recorded time. In addition, the quality influence calculation unit 141 identifies the equipment ID of the equipment R[m] by referring to the equipment basic information table TBL1. Next, the quality impact calculation unit 141 determines that the equipment ID corresponds to the equipment R[m] in the equipment status information table TBL3 and that the work for the member B-n is being executed in the process S[m]. Identifies records with time stamps. Then, the quality influence calculation unit 141 determines whether or not the equipment R[m] has a problem based on the equipment operation information recorded in the specified record.
In this embodiment, the quality impact 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, As an example, assume a case where it is determined that there is no problem with the equipment R[m] when the equipment operation information indicates "normal".
If the result of determination in step S104 is negative, the quality impact calculation unit 141 advances the process to step S108.

When the result of the determination in step S104 is affirmative, the quality impact degree calculation unit 141 determines the cause Wα[m] of the quality deterioration in the process S[m] as "cause w1: state of 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, in step S108, for example, the worker basic information table TBL4, the quality impact calculation unit 141 determines whether or not there is a record in which the assigned process information indicates the process S[m]. , whether or not the worker H[m] exists in the process S[m].
If the result of determination in step S108 is negative, the quality impact calculation unit 141 advances the process to step S114.

When the result of the determination in step S108 is affirmative, the quality impact calculation unit 141 determines that the worker H[m] has a defect while the work for the member Bn is being performed in the process S[m]. It is determined whether or not it has occurred (S110).
Specifically, in step S110, the quality impact calculation unit 141 determines whether or not the worker H[m] is in poor physical condition, and determines whether or not the skill level of the worker H[m] is low. and perform the determination of
More specifically, when determining whether or not the worker H[m] is in poor physical condition, the quality impact calculation unit 141 first determines whether or not the worker H[m] is in poor physical condition. acquires the time recorded in the record indicating that the work for the member B-n is "in progress". Further, the quality influence calculation unit 141 identifies the worker ID of the worker H[m] by referring to the worker basic information table TBL4. Next, the quality impact calculation unit 141 determines that the worker ID corresponds to the worker H[m] in the worker status information table TBL6, and that the work for the member B-n is executed in the process S[m]. Identify the record that records the time that the Then, the quality influence degree calculation unit 141 determines whether or not the worker H[m] is in poor physical condition based on the worker physical condition information recorded in the specified record. Specifically, the quality influence calculation unit 141 determines that the worker H[m] has a problem when the worker's physical condition information indicates "abnormal" or "unwell".
Further, when determining whether or not the skill level of the worker H[m] is low, the quality impact calculation unit 141 first refers to the process information table TBL7 to determine the process of the process S[m]. Get difficulty information. Further, the quality influence calculation unit 141 acquires the worker skill information of the worker H[m] by referring to the worker basic information table TBL4. Next, the quality impact calculator 141 subtracts the skill level indicated by the worker skill information corresponding to the worker H[m] from the difficulty indicated by the process difficulty information corresponding to the process S[m]. to calculate the skill deviation value. Then, the quality influence calculation unit 141 determines that the worker H[m] has a problem when the skill deviation value is larger than a predetermined allowable value.
On the other hand, when the worker's physical condition information indicates "normal" and the skill divergence value is equal to or less than a predetermined allowable value, the quality impact calculation unit 141 determines that there is no problem with the contractor H[m]. .
If the result of determination in step S110 is negative, the quality impact calculator 141 advances the process to step S114.

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

Next, the quality influence degree calculator 141 calculates the quality influence degree α[m] in the process S[m] (S114).
Specifically, in step S114, the quality influence calculator 141 first sets a 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]. If the causes w0 to w4 do not exist in the process S[m], the effect of the process S[m] on the quality deterioration of the product BP produced in the production line LN also does not exist. 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 equipment R", the quality impact degree calculation unit 141, for the quality impact degree α[m], Add the influence coefficient k1. Further, when it is determined in step S112 that the cause Wα[m] is “cause w2: state of worker H”, the quality influence degree calculation unit 141 determines the quality influence degree α[m] as , add the influence coefficient k2. For example, when it is determined in steps S106 and S112 that the cause Wα[m] is both 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.
In this way, the quality influence degree calculation unit 141 sets the quality influence degree α[m] to a larger value when quality deterioration occurs in the process S[m] than when quality deterioration does not occur. set to In addition, the quality impact calculation unit 141 determines the quality impact α[m] when the quality deterioration occurring in the process S[m] is caused by a plurality of causes, when it is caused by a single cause, and when it is caused by a single cause. Compare and set to a larger value.

After that, the quality impact calculation unit 141 determines whether or not the variable m satisfies "m<M" (S116).

Then, if the result of determination in step S116 is affirmative, the quality impact calculation unit 141 adds "1" to the variable m (S118), and advances the process to step S102.

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

<<3.3. Overview of delay factor analysis processing >>
FIG. 16 is a flow chart showing an example of the operation of the management server 1 when the management server 1 executes delay factor analysis processing.

As shown in FIG. 16, when the delay factor analysis process is started, the delay process identification unit 122 first sets "1" to the variable m (S200).

Next, the delay process identification 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 delayed process specifying unit 122 first refers to the member information table TBL8 to determine the process start time Tin[m] for the member Bn in the process S[m] and the process S Specify the process end time Tout[m] for the member Bn at [m]. Then, the delayed process identification unit 122 calculates the process execution time Twk[m] for the member B-n in the process S[m] by subtracting the process start time Tin[m] from the process end time Tout[m]. do. Further, the delay process identifying unit 122 identifies the allowable process execution time Tth[m] corresponding to the process S[m] by referring to the process information table TBL7. Then, the delayed process identification unit 122 determines whether or not the process execution time Twk[m] is equal to or greater than the permissible process execution time Tth[m].
It should be noted that, if the result of the determination in step S202 is negative, the delay process identifying unit 122 advances the process to step S216.

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

Next, the delay cause determination unit 13 determines whether or not the facility R[m] exists in the process S[m] (S206).
It should be noted that the delay cause determination unit 13 advances the 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 there is a problem with the facility R[m] (S208).
If the result of determination in step S208 is negative, the delay cause determination unit 13 advances the process to step S212.

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

FIG. 17 is a flow chart showing an example of the operation of the management server 1 when the management server 1 executes facility status analysis processing.

As shown in FIG. 17, in the equipment status analysis process, the delay cause determination unit 13 first determines whether any worker H[mx] exists in the area Ar[m] corresponding to the process S[m]. (S240). Here, the variable mx is a natural number that satisfies "1≤mx≤M". The variable mx may have a value equal to the variable m, or may have a value different from the variable m.
Note that 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 ] means that the failure that occurred in the facility R[m] is being dealt with. On the other hand, when the variable mx is a different value from the variable m, that is, when the worker H[mx] is not the worker H[m], for example, the worker who is in charge of another process S[mx] This means that H[mx] has rushed to the area Ar[m] and is dealing with the problem that occurred in the facility 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 the process S[m] as "cause w1: state of facility R" and "cause w3: work "Position of person H" (S242), and terminates the equipment status analysis process.
More specifically, in step S242, the delay cause determination unit 13 determines that the cause Wβ[m] of the delay in the process S[m] is the cause of the failure of the facility R[m], It is determined that there is a cause that none of the workers H present in the production line LN has taken care of the defect occurring in R[m].

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

If the result of the determination in step S244 is affirmative, the delay cause determination unit 13 determines the cause Wβ[m] of the delay in the process S[m] as "cause w1: status of facility R" and "cause w2: work Person H's condition" (S246), and terminates the equipment status analysis process.
More specifically, in step S246, the delay cause determination unit 13 determines that the cause Wβ[m] of the delay in the process S[m] is the cause of the failure of the facility R[m], It is determined that there is a cause that the worker H[mx] who is taking measures to eliminate the problem of R[m] has the problem.

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

If the result of the determination 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 facility R" and "cause w4: previous quality deterioration in the process" (S250), and terminates the equipment status analysis process.
More specifically, in step S250, the delay cause determination unit 13 determines that the cause Wβ[m] of the delay in the process S[m] is the cause of the failure of the equipment R[m], It is determined that there is a cause that the malfunction of the equipment R[m] has worsened due to the influence of the quality deterioration that occurred in [1] to S[m−1].
In step S250, the delay cause determination unit 13 determines that the cause of delay Wβ[m] in process S[m] is It may be determined that the cause is that the facility R[m] is malfunctioning.
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 deterioration in the previous process". It may be determined that the cause of delay Wβ[m] does not include "cause w1: state of facility R".

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

Returning the description to FIG.
As shown in FIG. 16, the delay cause determination unit 13 determines whether or not the worker H[m] exists in the process S[m] (S212).
It should be noted that the delay cause determination unit 13 advances the process to step S216 when the result of determination in step S212 is negative.

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

FIG. 18 is a flow chart showing an example of the operation of the management server 1 when the management server 1 executes worker situation analysis processing.

As shown 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).

If the result of determination in step S260 is affirmative, the delay cause determining unit 13 determines that the cause of delay Wβ[m] in process S[m] is "cause w3: position of worker H" (S262 ) to terminate the worker situation analysis process.
More specifically, in step S262, the delay cause determination unit 13 determines that the cause of the delay Wβ[m] in the process S[m] is the worker H[m] performing the work in the process S[m]. A determination is made to the effect that there is no cause.

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

If the result of determination in step S264 is affirmative, the delay cause determining unit 13 determines that the cause of delay Wβ[m] in process S[m] is "cause w2: state of worker H" (S266 ) to terminate the worker situation analysis process.
More specifically, in step S266, the delay cause determination unit 13 determines that the cause Wβ[m] of the delay in the process S[m] is a malfunction of the worker H[m] performing the work in the process S[m]. is the cause of the existence of

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

If the result of determination in step S268 is affirmative, the delay cause determination unit 13 determines that the cause Wβ[m] of the delay in process S[m] is "cause w4: quality deterioration in previous process" (S270 ) to terminate the worker situation analysis process.
More specifically, in step S270, the delay cause determination unit 13 determines that the cause of delay Wβ[m] in process S[m] is the quality caused in previous processes S[1] to S[m-1]. It is determined that the cause is that the work efficiency of the worker H[m] is degraded due to the influence of the decrease.

If the result of determination in step S268 is negative, the delay cause determining unit 13 determines that the cause of delay Wβ[m] in step S[m] is "cause w0: cause unknown" (S272). Terminate the person situation analysis process.
In step S272, the delay cause determination unit 13 determines whether the physical quantity indicated by the environment information acquired by the acquisition unit 11 from the environment information measuring device EV is out of a predetermined appropriate range. If the result of (a) is affirmative, it may be determined that the cause Wβ[m] of the delay in the process S[m] is an inappropriate environment in which the production line LN is provided.

Returning the description to FIG.
As shown in FIG. 16, the schedule impact calculator 142 calculates the schedule impact β[m] in the process S[m] (S216).
Specifically, in step S216, the schedule impact calculator 142 first sets a reference value βdef for the schedule impact β[m]. Here, the reference value βdef is the schedule influence degree 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 allowable process execution time Tth[m], the process S[ m] is temporary, and the effect of process S[m] on the delay in production of product BP on production line LN is only temporary. Therefore, in the present embodiment, as an example, the excess execution time ΔTwk[m] obtained by subtracting the permissible process execution time Tth[m] from the process execution time Twk[m] is set as 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 equipment R", the schedule impact calculation unit 142 calculates the impact coefficient k1 for the schedule impact β[m]. If it is determined that the cause Wβ[m] is "cause w2: state of worker H", the effect coefficient k2 is added to the schedule impact degree β[m], and the cause Wβ[ m] is "cause w3: position of worker H", the influence coefficient k3 is added to the schedule influence degree β[m], and cause Wβ[m] becomes "cause w4 : Quality deterioration in the previous process", the influence coefficient k4 is added to the schedule influence degree β [m], and the cause W β [m] is "cause w0: unknown cause". If so, the influence coefficient k0 is added to the schedule influence degree β[m].
In this way, the schedule impact calculator 142 sets the schedule impact β[m] to a larger value when there is a delay in the process S[m] than when there is no delay. do. In addition, the schedule impact calculation unit 142 compares the schedule impact β[m] when the delay occurring in the process S[m] is caused by multiple causes and when it is caused by a single cause. to set it to a higher value.

After that, the delay step identification unit 122 determines whether or not the variable m satisfies “m<M” (S218).
Then, when the result of the determination in step S218 is affirmative, the delay process identification unit 122 adds "1" to the variable m (S220), and advances the process to step S202.
On the other hand, if the determination result in step S218 is negative, the delay process identification unit 122 terminates the delay factor analysis process.

<<3.4. Overview of Quality Improvement Policy Formulation Process >>
FIG. 19 is a flow chart 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" to the variable m (S300).

Next, the quality impact calculator 141 calculates an overall quality impact αALL, which is the total value of the quality impacts α[1] to α[M] calculated in the quality degradation factor analysis process (S302).

Further, the schedule impact calculator 142 calculates an overall schedule impact βALL, which is the sum of the schedule impacts β[1] to β[M] calculated in the delay factor analysis process (S304).

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

If the result of determination in step S306 is affirmative, the substitute worker selection unit 15 determines whether the cause Wα[m] of quality deterioration in the process S[m] is "cause w2: state of worker H". is determined (S308).
In addition, the substitute worker selection part 15 advances a process to step S322, when the result of determination in step S308 is negative.

When the determination result in step S308 is affirmative, the substitute worker selection unit 15 selects a substitute worker H[m ⁺ ] who can perform the work in the process S[m] instead of the worker H[m]. (S310).
Specifically, in step S310, the substitute worker selection unit 15 selects, for example, one or more workers H present in the production line LN whose skill level indicated by the worker skill information is the same as the process difficulty level information. The difficulty level of the process S [m] indicated is higher than the difficulty level indicated by the worker physical condition information, 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 position information is in the area Ar [m] A worker H who satisfies some or all of the conditions of being a predetermined distance or less from is selected as a substitute worker H[m ⁺ ].

Next, ^the quality impact determination unit 161 determines the overall quality impact degree αALL ⁺ is calculated (S312).
Specifically, in step S312, the quality impact determination unit 161 first determines that the worker H in charge of the process S[m] has been replaced by the substitute worker H[m ⁺ ] from the worker H[m]. The assumptions update the quality impacts α[m] and α[m ⁺ ]. Next, the quality impact determination unit 161 calculates the total value of the quality impact degrees α[1] to α[M] including the updated quality impact degrees α[m] and α[m ⁺ ] as the overall quality impact degree αALL. Calculated as ⁺ .

Next, the quality impact determination unit 161 determines whether or not the overall quality impact αALL ⁺ is equal to or less than the overall quality impact αALL (S314).
If the result of determination in step S314 is negative, the quality impact determination unit 161 advances the process to step S322.

If the result of the determination in step S314 is affirmative, the schedule impact determination unit 162 replaces the worker H in charge of the process S[m] from the worker H[m] to the substitute worker H[m ⁺ ]. , the overall schedule influence degree βALL ⁺ is calculated (S316).
Specifically, in step S316, the schedule impact determination unit 162 first determines that the worker H in charge of the process S[m] has been changed from the worker H[m] to the substitute worker H[m ⁺ ]. Update the schedule impacts β[m] and β[m ⁺ ] with the assumptions. Next, the schedule impact determination unit 162 calculates the total value of the schedule impacts β[1] to β[M] including the updated schedule impacts β[m] and β[m ⁺ ] as the overall schedule impact βALL. Calculated as ⁺ .

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

When the determination result in step S318 is affirmative, the substitute worker proposing unit 17 changes the worker H 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 by the substitute worker proposing unit 17, the substitute worker proposing unit 17 sets the overall quality impact αALL to the overall quality impact αALL ⁺ . and the overall schedule impact βALL may be updated by the overall schedule impact βALL ⁺ .

After that, the control unit 10 determines whether or not the variable m satisfies "m<M" (S322).
Then, 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, if the determination result in step S322 is negative, the control unit 10 terminates the quality improvement policy formulation process.

<<3.5. Overview of Schedule Improvement Policy Formulation Processing >>
FIG. 20 is a flow chart showing 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" to the variable m (S400).

Next, the quality impact calculator 141 calculates an overall quality impact αALL, which is the sum of the quality impacts α[1] to α[M] (S402).
Note that the quality impact calculator 141 may omit the process of step S402 when the overall quality impact αALL is not updated in the quality improvement policy formulation process.

Also, the schedule impact calculation unit 142 calculates the overall schedule impact βALL, which is the sum of the schedule impacts β[1] to β[M] (S404).
Note that the schedule impact calculation unit 142 may omit the process of step S404 when the overall schedule impact βALL is not updated in the quality improvement policy formulation process.

Next, the substitute worker selection unit 15 determines whether or not the process S[m] is a delayed process (S406).
In addition, the substitute worker selection part 15 advances a process to step S422, when the result of determination in step S406 is negative.

When the determination result in step S406 is affirmative, the substitute worker selection unit 15 determines that the cause Wα[m] of the delay in the process S[m] is “cause w2: status of worker H” or “cause w3 : position of worker H" (S408).
If the result of determination in step S408 is negative, the substitute worker selection unit 15 advances the process to step S422.

If the result of determination in step S408 is affirmative, the substitute worker selection unit 15 selects a substitute worker H[m ⁺ ] who can perform the work in the process S[m] instead of the worker H[m]. (S410).

Next, ^the schedule impact determination unit 162 determines the overall schedule impact degree βALL ⁺ is calculated (S412).

Next, the schedule impact determination unit 162 determines whether or not the overall schedule impact βALL ⁺ is less than or equal to the overall schedule impact βALL (S414).
If the result of determination in step S414 is negative, schedule impact determination unit 162 advances the process to step S422.

If the result of determination in step S414 is affirmative, the quality impact determination unit 161 replaces the worker H in charge of the process S[m] from the worker H[m] to the substitute worker H[m ⁺ ]. is calculated ( ^S416 ).

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

When the determination result in step S418 is affirmative, the substitute worker proposing unit 17 changes the worker H 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 by the substitute worker proposing unit 17, the substitute worker proposing unit 17 sets the overall quality impact αALL to the overall quality impact αALL ⁺ . and the overall schedule impact βALL may be updated by the overall schedule impact βALL ⁺ .

After that, the control unit 10 determines whether or not the variable m satisfies "m<M" (S422).
If the result of determination in step S422 is affirmative, control unit 10 adds "1" to variable m (S424), and advances the process to step S406.
On the other hand, if the determination result in step S422 is negative, the control unit 10 terminates the schedule improvement policy formulation process.

<<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 equipment information. Therefore, according to the present embodiment, for example, compared to the case where the acquisition unit 11 acquires only the equipment information, it is possible to accurately identify the quality deterioration process in the quality deterioration factor analysis process, and , it is possible to accurately determine the cause Wα[m] of quality deterioration in the process S[m].

Further, according to the present embodiment, since the acquisition unit 11 acquires production line information including worker information, member information, and equipment information, for example, when the acquisition unit 11 acquires only equipment information , it becomes possible to accurately identify the delay process in the delay factor analysis process, and to accurately determine the cause Wβ[m] of the delay in the process S[m].

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

<<B. Second Embodiment >>
A second embodiment of the present invention will be described below.
Note that, in each embodiment illustrated below, the reference numerals used in the description of the first embodiment are used for elements having the same actions and functions as those of the first embodiment, and detailed description of each element is appropriately omitted.

The second embodiment is the same as the first embodiment in that the quality deterioration 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 executed. This is different from the first embodiment in that formulation processing is not executed.

FIG. 21 is a functional block diagram showing an example of 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. FIG.

As shown in FIG. 21, the management server 1A is the same as the management server 1 shown in FIG.
The control unit 10A is the same as the control unit 10 except that it does not include the delay process identification unit 122, the delay cause determination unit 13, the schedule impact degree calculation unit 142, and the schedule impact determination unit 162.

FIG. 22 is a flow chart showing an example of the operation of the management server 1A when executing management processing according to the second embodiment.
As shown in FIG. 22, the management process according to the second embodiment does not execute the delay factor analysis process in step S18 and does not execute the schedule improvement policy formulation process in step S22. 14 is the same as the management process according to the first embodiment.
The quality deterioration factor analysis process executed in step S16 is the same as the quality deterioration factor analysis process according to the first embodiment shown in FIG.

FIG. 23 is a flow chart showing an example of the operation of the management server 1A when executing the quality improvement policy formulation process according to the second embodiment.
As shown in FIG. 23, the quality improvement policy formulation process according to the second embodiment does not execute the quality improvement policy formulation process according to the first embodiment shown in FIG. is similar to

As described above, according to the present embodiment, the acquisition unit 11 acquires production line information including worker information, member information, and equipment information. In the quality deterioration factor analysis process, it is possible to accurately identify the quality deterioration process, and to accurately determine the cause Wα[m] of the quality deterioration in the process S[m], compared to the case of obtaining the quality deterioration factor analysis process. becomes possible.

In the present embodiment, the quality deterioration process identification unit 121 is an example of the “identification unit”, the quality impact degree calculation unit 141 is an example of the “calculation unit”, and the determination in step S104 is the “fourth determination", and the determination in step S110 is an example of the "fifth determination".

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

The third embodiment is similar to 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 executed. This is different from the first embodiment in that formulation processing is not executed.

FIG. 24 is a functional block diagram showing an example of 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. FIG.

As shown in FIG. 24, management server 1B is the same as management server 1 shown in FIG.
The control unit 10B is the same as the control unit 10 except that it does not include the quality deterioration process identification unit 121, the quality impact degree calculation unit 141, and the quality impact determination unit 161.

FIG. 25 is a flow chart showing an example of the operation of the management server 1B when executing management processing according to the third embodiment.
As shown in FIG. 25, the management process according to the third embodiment does not execute the quality deterioration factor analysis process in step S16, and does not execute the quality improvement policy formulation process in step S20. This is the same as the management processing 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 facility status analysis process (S210) according to the third embodiment differs from the facility status analysis process according to the first embodiment shown in FIG. 17 in that steps S248 and S250 are not executed.
Also, the worker situation analysis process (S214) according to the third embodiment differs 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 flow chart showing 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 process according to the third embodiment does not execute the schedule improvement policy formulation process according to the first embodiment shown in FIG. is similar to

As described above, according to the present embodiment, the acquisition unit 11 acquires production line information including worker information, member information, and equipment information. In the delay factor analysis process, it is possible to accurately identify the delay process, and to accurately determine the cause Wβ[m] of the delay in the process S[m], as compared with the case of obtaining it. Become.

In the present embodiment, the delay process identification unit 122 is an example of the “identification unit”, the delay cause determination unit 13 is an example of the “determination unit”, and the substitute worker selection unit 15 is an example of the “selection unit ”, the schedule impact determination unit 162 is an example of the “divergence determination unit”, the substitute worker proposal unit 17 is an example of the “proposal unit”, and the determination in step S208 is the “first determination”, the determinations in steps S212, S240, and S260 are examples of the “second determination”, and the determinations in steps S244 and S264 are examples of the “third determination”. .

<<D. Fourth Embodiment>>
A 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 showing an example of functional configuration of a 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. FIG.

As shown in FIG. 27, the management server 1C is the same as the management server 1 shown in FIG.
The control unit 10C is the same as the control unit 10 except that it 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 the “receiving unit”) receives instructions input by the operator of the management server 1C operating the operating unit 40 .
The reproduction information generation unit 182 (an example of the “generation unit”) generates reproduction information for reproducing the movement of the production line LN over time 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 an example of a virtual production line VLN (hereinafter referred to as "display example") that reproduces the operation of the production line LN shown in FIG. 2 from time t1 to time t9 on the display unit 71. FIG.

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

In the display examples shown in FIGS. 28 to 30, at time t1, a state in which the member B-1 represented by the member image GB-1 is supplied to the production line LN is displayed.
Further, 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 facility R[1] represented by the facility image GR[1] A state of working on the member B-1 is displayed.
Further, in the display example, at time t3, a state in which the member B-2 represented by the member image GB-2 is supplied to the production line LN is displayed.

Further, 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] is supplied to the process S[2]. performs work on the member B-1, the member B-2 represented by the member image GB-2 is supplied to the process S[1], and the facility R [1] is shown working on member B-2.
Further, 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 malfunctioning. is displayed.
Further, in the display example, at time t6, the worker H[2] represented by the worker image GH[2] is responsible for the defect that occurred in the facility R[1] represented by the facility image GR[1]. You can see how you are responding. In the display example, at time t6, the process S[1] is stopped due to a problem occurring in the facility R[1], and the worker H[2] is away from the process S[2]. A state that the process S[2] is also stopped is displayed.

Further, in the display example, at time t7, the material B-4 represented by the material image GB-4 is supplied to the production line LN, and the equipment R[1] represented by the equipment image GR[1] A fault image GF indicating that the fault continues is displayed. In the display example, at time t7, the process S[1] and the process S[2] continue to be stopped.
Further, in the display example, at time t8, the defect occurring in the facility R[1] represented by the facility image GR[1] is resolved, the defect image GF disappears, and the worker H[2] returns to the process S The state of returning to [2] is displayed. Then, in the display example, at time t8, the process S[1] and the process S[2] are restarted, and the worker H[2] represented by the worker image GH[2] moves to the member B-2. and the equipment R[1] represented by the equipment image GR[1] is working on the member B-3.
Further, in the display example, at time t9, a defect image GF is displayed, which indicates that a defect has occurred in the member B-1 (product BP-1) represented by the member image GB-1.

As described above, in the present embodiment, the display unit 71 displays the virtual production line VLN that reproduces the movement of the production line LN over time. Therefore, the operator of the management server 1C can easily confirm the movements of the member B-n, the worker H[m], and the facility R[m] in the production line LN over time. As a result, in the present embodiment, when a problem occurs in the production line LN, it is possible to easily grasp how the worker H[m] responded to the problem. It is possible to easily grasp how the defect affected the production of the product BP on 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. Alternatively, the virtual production line VLN may represent 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 a “first instruction”) to specify the worker H[m] input by the operator of the management server 1C by operating the operation unit 40, the reproduction The information generator 182 may generate worker reproduction information (an example of “first reproduction information”) indicating the movement of the worker H[m] over time. In this case, the display control unit 183 displays the movement of the worker H[m] over time on the virtual production line VLN based on the worker reproduction information.

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

Further, when the instruction receiving unit 181 receives an instruction (an example of a “third instruction”) to specify the facility R[m] input by the operator of the management server 1C by operating the operation unit 40, the reproduction information The generation unit 182 may generate equipment reproduction information (an example of “third reproduction information”) indicating the movement of the equipment R[m] over time. In this case, the display control unit 183 displays the temporal movement of the facility R[m] on the virtual production line VLN based on the facility 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 identification part, 13... Delay cause determination part, 14... Impact calculation part, 15... Alternative worker selection unit, 16... Influence determination unit, 17... Alternative worker proposal unit, 20... Storage unit, 30... Communication unit, 40... Operation unit, 50... Information reading unit, 121... Quality deterioration process identification unit , 122...Delayed process identification unit 141...Quality impact calculation unit 142...Schedule impact calculation unit 161...Quality impact determination unit 162...Schedule impact determination unit CM...Detection device EV...Environmental information measurement device LN...Production line, R...Equipment, SYS...Production system, TM...Terminal equipment.

Claims (3)

A management device that manages a production line that produces 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 said product; and
Member information indicating the state of intermediate products generated in the process of producing the product on the production line;
an acquisition unit that acquires production line information including
if the quality of said 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 the plurality of processes included in the production line with respect to deterioration of the quality of the product;
Based on the calculation result of the calculation unit,
Among the multiple processes included in the production line,
an identification unit that identifies a quality deterioration process that causes quality deterioration of the product;
comprising a
A management device characterized by: The calculation unit
Based on the equipment information,
Due to the state of equipment corresponding to each of the plurality of steps,
a fourth determination of whether each of the plurality of steps degrades 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 degrades the quality of the product;
By doing at least one of
Calculating the degree of influence of each of the multiple processes included in the production line on the deterioration of the quality of the product;
The management device according to claim 1, characterized by: comprising a processor;
A program for a management device that manages a production line that produces products,
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 said product; and
Member information indicating the state of intermediate products generated in the process of producing the product on the production line;
an acquisition unit that acquires production line information including
if the quality of said 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 the plurality of processes included in the production line with respect to the quality deterioration of the product;
Based on the calculation result of the calculation unit,
Among the multiple processes included in the production line,
an identification unit that identifies a quality deterioration process that causes quality deterioration of the product;
to make it work,
A management device program characterized by:

Images