JP2007140625A - Production management device, production management system, production management method, control program and recording medium - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a production management device for managing production progress without deteriorating operating efficiency concerning progress management. <P>SOLUTION: This production management device 2 is configured to record result information relating to the operation progress of an object for performing the production progress management of a production line constituted of a plurality of processes, and to acquire operation result data including the result information, and provided with a monitor simulation part 32 for counting the number of pieces of result information which does not satisfy predetermined conditions among result information included in the operation result data as the number of abnormalities for each process and a simulation result display control part 21 for outputting the counted number of abnormalities as a simulation result to a display part 11. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a production management apparatus, a production management system, a production management method, a control program, and a recording medium for managing production progress in a production line.

  With the shortening of the product life cycle and the diversification of user needs, the manufacturing industry is forced to respond to high-mix low-volume production, short delivery time production, variable-volume production, and the like. In response to such environmental changes, an increasing number of factories are shifting from automated lines where machines automatically process and assemble products to hand-assembled lines where people manually process and assemble.

  The hand-assembled line is a production method in which multi-skilled workers share work flexibly in a small-scale line. The cell production system is a form of hand-assembled line.

  In the hand-assembled line, an operator performs production using a work table and jigs, and there is no need to provide a large-scale automatic production machine, so there is an advantage that equipment can be simplified. Moreover, since various production processes can be realized by changing the contents of work performed by the worker, there is also an advantage that a large variety of products can be produced in a short delivery time.

  In the hand-assembled line, a series of operations necessary for product production is divided into a plurality of processes, and a work place and a work procedure are determined for each process. An operator is assigned to each process, and a product is completed when all the operations from the first process to the last process are executed in order. There are various forms of the number of workers arranged in the entire line and the number of processes handled by one worker.

  Generally, several to thousands of products are produced every day on the hand-assembled line. Each product has a delivery date promised to the customer, and it is necessary to complete the production of all products by the delivery date. For this reason, a production plan in which the production start time and production completion time of each product are determined is established, and production is executed according to this production plan.

  However, when production is actually executed, the work may not proceed according to the production plan due to factors attributable to the operator, factors attributable to the tool, factors attributable to the production object, and the like. Factors attributed to the worker include that the worker is not working for some reason, the worker's proficiency level is low, a work mistake has occurred, and a correction work is performed to recover the work mistake. Or the work is delayed due to the physical illness of the worker. Factors resulting from the tool include failure of the tool and loss of the tool. Factors resulting from the production object include a defect in the production object itself, a missing item, and the like.

  As described above, the production on the hand-assembled line is not necessarily executed according to the production plan, and thus progress management is required. In the progress management, three procedures of delay detection, situation grasp, and countermeasure are repeatedly executed. The delay detection is to detect the occurrence of a delay with respect to the production plan. Situation grasping is how long the detected delay time is in relation to the production plan (understanding the urgency of countermeasures), and in which process the detected delay is occurring (in the areas where countermeasures are required) Grasping). The measure is to take and implement a measure to eliminate the delay. Measures for eliminating the delay include, for example, increasing the number of workers, exchanging jigs and tools, discarding and recreating defective products, and changing the production order.

  In order to ensure that all products are completed by the delivery date and to secure the profits of the factory, it is essential to improve the efficiency of this progress management procedure. If progress management requires a large amount of man-hours, production managers are constantly chased by response to delivery date troubles, not spending time on improvement activities, and are more competitive than competitors' production lines. descend.

  Conventionally, a progress display board has been used to improve the efficiency of progress management. The progress display board presents information on the number of scheduled tasks, the number of completed tasks, the number of delays, and the like in a tabular format for each time period during which the task is performed. Actually, the progress display board is realized by a white board or the like, and each information is manually written by a human.

  Further, in Patent Document 1, an IC card for recording work results is attached to a work, moved between processes, the work results are read from the IC card collected at the completion of production, and compared with the standard work time. Thus, a technique for detecting the presence or absence of delay is disclosed.

  However, since all of the above-described known technologies focus only on workpieces that have been produced, the information acquired by the known technology merely indicates how much delay has occurred from the production plan for the finished product. . Therefore, even if the above-described known technology is used, the user only needs to confirm the presence or absence of a delay that has occurred (cannot be recovered), and cannot detect the delay while the delay can be recovered. There is a problem.

  Therefore, Patent Document 2 compares the production plan and work results for each production department, and warns the status of the process that is delayed from the plan (start date, number of delays, number of manufactured items, scheduled completion date, etc.). A technique for displaying is disclosed. Thereby, the user can grasp the production delay for each process, and can take measures in a timely manner.

In Patent Document 3, the actual work time measured for each process or the number of workpieces staying between processes (buffer) is measured, and a neck process is determined by comparing with a predetermined standard value. A technique for displaying the situation is disclosed. Thereby, the user can detect an abnormality in the work process at an early stage, and can give an appropriate countermeasure instruction.
Japanese Patent Publication No. 6-57384 (released October 13, 1989) Japanese Patent Laid-Open No. 5-12307 (published January 22, 1993) JP 5-192852 (published on August 3, 1993)

  However, the above conventional configuration causes the following problems.

  Specifically, in the technique of Patent Document 2, for each process, all processes that are detected as being delayed from the production plan are displayed as warnings without taking into account the necessity of monitoring progress abnormality such as delay. End up. Therefore, after the user recognizes that a delay has occurred in the process due to the warning display, the display contents are used to select a process that requires a countermeasure for delay in order to make up for the delay from the processes displayed in the warning. Will be forced to consider.

  In addition, in order to detect a delay for each process, information such as a scheduled completion date must be registered for each process. It is a burden on the user to perform such a registration operation for all processes to be monitored.

  In the technique disclosed in Patent Document 3, a warning can be issued only for a neck process that requires countermeasures for delay. For this purpose, the number of workpieces and work time measured in all processes and in all buffers between processes. A standard value for comparison with must be set. Such standard values must be individually set for all processes / buffers to be monitored. In addition, since the standard work time and the number of staying workpieces differ for each type of product handled, the number of standard values to be set is particularly large in order to monitor delays in production lines that handle multiple types of products such as hand-assembled lines. This further increases the burden on the user.

  From the above, there arises a problem that the efficiency of work relating to production progress management cannot be achieved.

  The present invention has been made in view of the above-mentioned problems, and its purpose is to prevent a progress abnormality in a production progress management system in a hand-assembled line without reducing work efficiency related to production progress management. It is to realize a production management device, a production management system, a production management method, a control program, and a recording medium that can detect the progress abnormality and manage the production progress while measures can be taken.

  In order to solve the above-mentioned problems, the production management apparatus according to the present invention performs the production progress management of a production line including at least one production process, so that the performance information related to the work progress of the object is a process. In the production management device for acquiring work performance data including a plurality of the above-mentioned performance information, the number of items that do not satisfy the predetermined condition among the respective performance information included in the work performance data, It is characterized by comprising monitoring simulation means for counting each process and result output means for outputting each abnormality number counted by the monitoring simulation means to the display unit as a simulation result.

  According to the above configuration, the monitoring / simulating means simulates a case where progress monitoring is performed based on a predetermined condition for each piece of performance information related to work progress recorded for each process. That is, by not satisfying the above condition, the number of performance information determined to be “progress abnormality” such as delay is counted for each process and output as a simulation result. The result output means displays the simulation result on the display unit.

  Examples of performance information relating to the work progress of the object include, for example, work time related to work performed on the object, stay time of the object staying between processes, or work time and stay time. Or the number of objects remaining in the waiting process.

  For example, when the record information is a work time and the condition is defined as “within x seconds”, the monitoring and simulation means causes a delay in the record information indicating the work time exceeding x seconds. It is determined as “abnormal” and the number of abnormalities is counted.

  The number of abnormalities counted as described above is output for each process and presented to the user.

  Thereby, the user can easily specify a process with a large number of abnormalities (that is, a process in which delay frequently occurs in the above example) from past work record data. The process in which delay frequently occurs is often a process that requires countermeasures for delay. In other words, the user can easily narrow down processes that require delay countermeasures, that is, processes that require progress monitoring, based on the number of abnormalities in the simulation result.

  In the event that an abnormality (eg, delay) occurs, if only the processes that require countermeasures have been narrowed down as targets for progress monitoring, the user can quickly investigate the necessity of countermeasures without spending time. It is possible to take measures. In addition, by narrowing down the progress monitoring targets, it is only necessary to set a threshold value (condition) for monitoring corresponding to the process, so that the burden on the user of setting the threshold value can be reduced.

  Further, when the simulation result is satisfactory for the user, if the conditions set at that time are used for actual progress monitoring, appropriate progress monitoring can be performed. In other words, the user can determine whether or not the conditions referred to at the time of simulation are appropriate. If it is determined that the conditions are appropriate, the user can easily acquire the conditions used for progress monitoring and actually perform monitoring. It is possible to set as a condition of

  As a result, it is possible to manage the production progress without reducing the work efficiency related to the progress management.

  In addition, when the above conditions include not only the upper limit value as described above but also a lower limit value such as “y seconds or more”, the performance information in which the work time shorter than y seconds is recorded is “ It will be counted as “abnormal”. By simulation, the number of occurrences of such early abnormal termination can be grasped for each process. Thereby, it is possible to specify a process that needs to detect not only a delay but also an early abnormal end. Therefore, for example, in a production environment where work ends unexpectedly early, which means forgetting to assemble parts, etc., identify the processes that require the detection of human error and take countermeasures as described above. Therefore, it is particularly effective to include the above lower limit in the condition.

  The production process includes an actual work process in which an actual work is performed on the object in the production line, and a wait process in which the object is placed in a waiting state or a moving state before or after the actual work process. At least one or more steps may be included among all the steps consisting of

  The work result data acquired by the production management device may include a plurality of pieces of work information related to work progress recorded for each combination of the process and the type of the object. A configuration may be adopted in which the number of objects that do not satisfy the predetermined condition is counted as an abnormal number for each process and for each product type.

  This makes it possible to simulate progress monitoring for each process and each product type, using performance information recorded separately for each product type as well as for each product type. Therefore, the number of occurrences of abnormality can be grasped for each combination of process and product type.

  As a result, it is possible to narrow down the monitoring targets for each process and for each product type, and it is possible to manage the production progress without reducing the work efficiency for progress management even in the hand-assembled line for high-mix low-volume production. It becomes.

  The production management apparatus includes a condition change accepting unit that accepts a change instruction for the predetermined condition input by the user via the operation unit, and a condition setting unit that changes the predetermined condition to a condition specified by the user. Preferably, the monitoring simulation means counts the number of abnormalities in the performance information based on the changed condition.

  Thereby, the user can arbitrarily specify the scheduled condition. Since the monitoring simulation means performs simulation based on the user's desired condition, the user can easily obtain a desired simulation result.

  The fact that a desired simulation result has been obtained means that appropriate progress monitoring can be performed if the conditions set at that time are used for actual progress monitoring. Therefore, the user can easily acquire the conditions used for progress monitoring.

  More preferably, the predetermined condition is applied to a performance information group that is grouped for each process or a combination of a process and a product type. (1) For a reference value of each performance information group Ratio, (2) deviation from the standard value of each performance information group, (3) how many positions are away from the performance information that is the standard value of each performance information group in the upper (and / or lower) And (4) a first condition that specifies at least one of how many seconds away from the reference value of each performance information group, and the monitoring simulation means is based on the first condition. A second condition for designating an upper limit value and / or a lower limit value is generated for each of the record information groups, and the number of record information that does not satisfy the second condition is defined as an abnormal number for each record information group. It is preferable to mount.

  According to the above configuration, the monitoring / simulating means specifies a condition (first condition) specified by the user based on a reference value of past performance information, which is a condition (second condition) to be referred to when the monitoring / simulating means performs simulation. Condition).

  The condition (second condition) to be referred to when the monitoring / simulating means performs the simulation needs to be set for each group (process, or for each process and for each product type), if necessary, with both an upper limit value and a lower limit value. is there.

On the other hand, the first condition is specifically:
(1) Ratio (± x% (x is optional)) to the reference value of each performance information group,
(2) Deviation from the reference value of each performance information group (± yσ (y is optional)),
(3) How many positions (z (z is an arbitrary integer)) are located higher (and / or lower) from the performance information that is the reference value of each performance information group, and
(4) How many seconds away from the reference value of each performance information group (w seconds (w is optional))
At least one of these is designated.

  Therefore, although the reference value differs for each performance information group, the values of x (%), y (σ), z (pieces), and w (seconds) specify one common value for all groups. It is possible. In other words, the first condition can be said to be a condition that, if one value is specified, the condition specifying the value can be uniformly applied to all the performance information groups.

  From the above, the user can set the second condition indirectly and simply by setting the first condition that is easy to set without directly setting the second condition that is complicated to set. It becomes possible to do.

  As described above, the second condition requires complicated setting work for each process. That is, considering that the second condition is set directly, for example, an upper limit value (within x seconds) or a lower limit value (y seconds or more) of the work time must be set for each process. Further, when the performance information is recorded for each product type, the upper (lower) limit value that must be set according to the number of products handled by the production line becomes a huge number. On the other hand, the first condition can be easily set as a condition that can be uniformly applied to all performance information groups (all varieties of all processes).

  Accordingly, the second condition used by the monitoring / simulating means at the time of simulation can be easily performed by simply setting the first condition based on the past work record data. It is possible to execute a more accurate simulation without reducing the user's work efficiency for narrowing down the combination of the above.

  The reference value is calculated from a set of performance information for each performance information group. For example, as the reference value, an average value, a median value, a mode value, and the like of the set of performance information can be considered.

  The production management apparatus monitors the progress of a process or a combination of a process and an object type specified by the user or specified based on the simulation result output by the monitoring simulation means. A monitoring condition for setting a monitoring condition for detecting an abnormality in the progress monitoring of a process based on the monitoring condition specifying means to be set as a target and the predetermined condition referred to by the monitoring simulation means for each progress monitoring target Progress monitoring means for monitoring the production progress of the progress monitoring target set by the monitoring means specifying means, and detecting an abnormality of the progress monitoring target based on the monitoring conditions set by the monitoring condition setting means; and And alarm control means for controlling the alarm device so as to notify the user that an abnormality has occurred when the progress monitoring means detects an abnormality. It is characterized in.

  According to the above configuration, the monitoring target specifying unit sets the process specified by the user or the combination of the process and the type of the object as the progress monitoring target, or the number of abnormalities output by the monitoring simulation unit. Based on the above, the process to be the progress monitoring target or the combination of the process and the kind of the object is specified, and the progress monitoring target is set.

  Next, the monitoring condition setting means sets a monitoring condition for detecting an abnormality in the process progress monitoring based on a predetermined condition for each of the set progress monitoring targets.

  The progress monitoring means performs progress monitoring on the set progress monitoring target based on the set monitoring conditions, and when an abnormality is detected, the alarm control means outputs an alarm. Control the alarm device.

  Based on the simulation result, the progress is monitored based on the monitoring condition calculated based on the predetermined condition, and the alarm is output, focusing on the process (and combination of product types) determined to be monitored based on the simulation result. It is possible to realize a production management apparatus that performs the above.

  The production management apparatus includes a monitoring condition change accepting unit that accepts an instruction to change the monitoring condition input by the user via the operation unit, and the monitoring condition setting unit specifies the monitoring condition by the user. The monitoring conditions may be changed.

  Thereby, the user can arbitrarily and easily change the monitoring condition.

  Alternatively, the production management device includes a monitoring condition change receiving unit that receives an instruction to change the monitoring condition and an instruction to specify the number of times of abnormality detection input by the user via the operation unit, and the monitoring condition setting unit includes: Based on the specified number of abnormality detections, a monitoring condition in which the number of track record information that does not satisfy the monitoring condition is the same as the number of abnormality detections may be calculated and changed to the calculated monitoring condition.

  As a result, the user cannot specify an optimum actual value as a monitoring condition as long as the user knows how often an abnormality is detected with respect to past work results. However, it is possible to obtain appropriate monitoring conditions.

  Furthermore, the performance information is recorded for each worker who has performed work on the object, and the monitoring target specifying means is a combination of a process and a worker, or a process, The combination of the product type and the worker may be set as the progress monitoring target for each worker, and the monitoring condition setting unit may set the monitoring condition for each progress monitoring target for each worker.

  Further, the production management device determines whether or not to report an abnormality that has occurred in the progress monitoring target based on the number of times the progress monitoring unit has detected the abnormality and an alarm output condition defined for each progress monitoring target. An alarm output condition management means for determining, and the alarm control means may control the alarm device to notify the user that an abnormality has occurred when the alarm output condition management means determines to notify the abnormality. preferable.

  By appropriately setting the alarm output condition, it is possible to prevent the alarm device from operating more than necessary. That is, the user can recognize an abnormality that has occurred only when a countermeasure is required, only for a process that requires a countermeasure. Therefore, the user can quickly take countermeasures without spending time in examining whether or not countermeasures are necessary.

  For example, once a delay occurs, it is especially effective in an environment where it is not necessary to take a delay measure, but it is necessary to take a delay measure only when it occurs multiple times (continuously). .

  In order to solve the above problems, a production management system according to the present invention monitors the above-described production management device and the production management device or a progress monitoring target set by the production management device, and the production management device And an alarm device that notifies the user of the occurrence of an abnormality based on any instruction of the progress monitoring device that detects the abnormality of the progress monitoring target based on the set monitoring condition.

  According to the above configuration, the production management device identifies a process that needs to be monitored, sets a monitoring condition for each monitoring target, and the production management device or the progress monitoring device performs progress monitoring based on the setting.

  Thereby, it becomes possible to construct a production management system capable of managing the production progress without reducing the work efficiency related to the progress management.

  Further, the production management system includes a sensor that detects the start and / or end of work in each production process, and a product type input unit that inputs a product type to be input to the production line to the production management device. In addition, the work performance data acquired by the production management device includes information on work time and / or dwell time related to work performed on the object, calculated based on a detection signal acquired from the sensor, Each work time and / or each residence time is preferably recorded for each process and for each type obtained from the type input unit.

  As a result, it is possible to construct a production management system capable of managing the production progress without reducing the work efficiency related to the progress management in the hand-assembled line for the high-mix low-volume production.

  In order to solve the above problems, the production management method according to the present invention performs the production progress management of a production line composed of at least one production process. The first step of acquiring work result data including a plurality of the result information, and the number of items that do not satisfy a predetermined condition among the pieces of result information included in the work result data, It includes a second step of counting for each process and a third step of outputting the number of abnormalities counted in the second step to the display unit as a simulation result.

  According to the above method, the user can easily specify a process having a large number of abnormalities from past work record data. A process with a large number of abnormalities is often a process that requires countermeasures. That is, the user can easily narrow down the processes that require countermeasures, that is, processes that require progress monitoring, based on the number of abnormalities in the simulation result.

  In the event that an abnormality (eg, delay) occurs, if only the processes that require countermeasures have been narrowed down as targets for progress monitoring, the user can quickly investigate the necessity of countermeasures without spending time. It is possible to take measures. Further, by narrowing down the progress monitoring targets, it is only necessary to set a threshold value (condition) for the process, so that the burden on the user of setting the threshold value can be reduced.

  As a result, it is possible to manage the production progress without reducing the work efficiency related to the progress management.

  The production management apparatus may be realized by a computer. In this case, a control program for the production management apparatus that causes the production management apparatus to be realized by a computer by causing the computer to operate as the respective means, and A computer-readable recording medium on which is recorded also falls within the scope of the present invention.

  The production management apparatus according to the present invention, as described above, monitors and simulates means for counting, for each process, the number of items that do not satisfy a predetermined condition among the pieces of record information included in the work record data as the number of abnormalities. And a result output means for outputting the number of abnormalities counted by the monitoring simulation means to the display unit as a simulation result, so that the production progress can be managed without lowering the work efficiency for the progress management. There is an effect.

  An embodiment of the present invention is described below with reference to the drawings. In this embodiment, as an example, a production management apparatus applied to a production system having a hand-assembled production line composed of n processes will be described.

  First, terms related to the production system 1 used in the following description will be described.

("Actual work process" and "work time")
"Actual work process" refers to one unit that actually performs work, and "work time" means the time during which the work is being performed. The above “working time” may be “from the start to the end of work performed at a certain work place” on the basis of the work place, or “from the start to the end of a certain work based on the work content (for example, cutting, soldering, etc.) It may be "up to". In the present embodiment, when there is no need to distinguish between them, they are uniformly referred to as “working time”.

  In addition, when distinguishing each actual work process, it represents as "actual work process n", and the work time in the process is represented as "process n work time".

("Waiting process" and "Residence time")
“Waiting process” indicates a process in which a workpiece is waiting for work or a work place is moved on the production line, and “dwelling time” indicates a time in that state. . "Waiting process" is a line between "an inter-process waiting process" between one "actual work process" and the next "actual work process" (from the end of the previous actual work process to the start of the next actual work process) "Waiting process before start" from the start of the first "actual work process" to the start of the first "actual work process" and "Wait process after completion" from the end of the last "actual work process" to the discharge of the work from the line including. Each inter-process waiting process is expressed as “inter-process waiting process 1” using the number of the immediately preceding process, for example, between the actual work process 1 and the actual work process 2. Also, the time spent in each waiting process is expressed as “residence time before start”, “n residence time between processes”, and “residence time after completion”.

("Production process")
The “production process” indicates a process as a management target unit including at least one of “actual work process” and “waiting process” defined above. One actual work process and one waiting process may each be a single production process, or a combination of a plurality of actual work processes and waiting processes between them, or a plurality of continuous actual work processes. It may be a production process. (For example, it is possible to manage the progress as a single production process by consolidating the scope of one worker. Also, all the processes from the input to the discharge of the work line are combined into a single production process. For example, it is possible to perform management in line units as in the conventional case.)
("whole process")
“All processes” refers to a set of all “actual work processes” and all “waiting processes” from when a workpiece is input to the production line until it is discharged. Note that the set of all “production processes” and “all processes” do not necessarily match (for example, when only the actual work process is monitored).

("Process")
Individual processes included in “all processes”. In the case where it is not necessary to distinguish between the actual work process and the waiting process, they are hereinafter collectively referred to as “process”.

Embodiment 1
(Production system configuration)
First, a product production system (production management system) 1 to which a production management apparatus 2 according to the present embodiment is applied will be described with reference to FIG. In the example illustrated in FIG. 1, the production system 1 includes a production line including n processes (actual work process 1 to actual work process n) for manufacturing a product by an operator's manual work, and the work of each of the actual work processes. To monitor the progress of production, and to detect the abnormalities in the production management device 2 that detects the progress abnormalities such as delays and the work performed in each process in the production line. It has a configuration including an alarm device 3 that notifies a user (such as an operator or a progress manager).

  The actual work process 1 to the actual work process n are arranged in this order from the upstream to the downstream of the flow of the work (object) as the manufacturing object of the production system 1, and the work is the first process (actual work) A product is completed when the operations of all the actual work steps are sequentially performed through the steps 1) to the final step (actual work step n).

  At least one alarm device 3 is installed in a region where work is actually performed on the production line or a production progress management region so that a user who should detect an abnormality can recognize. The alarm device 3 represents, for example, a speaker or an electronic sound alarm that emits a warning announcement or warning sound, a signal light / rotary light that emits a warning sound or light, and a sign or character indicating that a progress abnormality has been detected, and outputs it. It is configured by a display device such as an LED board. When the alarm device 3 is installed at one place on the production line and the abnormality occurring in all the processes is notified, it is preferable to clarify which process abnormality the notification indicates. What is necessary is just to enable it to distinguish a process with an alarm sound or a light pattern, or to announce or display the information which identifies a process. Note that a plurality of alarm devices 3 may be installed near the work place of each process, and the process to be notified may be shared so as to notify only when an abnormality occurs in the process.

  Further, the display unit 11 may be configured as the alarm device 3 by displaying information notifying that an abnormality has been detected on the display unit 11 of the production management device 2.

  Furthermore, the production system 1 includes sensors 4A1 to 4Am for detecting the work of the worker for each process, and a product type input unit 5 for identifying the model number (product type) of the workpiece to be input into the process. ing. In addition, when it is not necessary to distinguish the sensors 4A1 to 4Am, they are simply referred to as sensors 4.

  The sensor 4 detects the start and / or end of work in each process, and at least one sensor 4 is installed in each process. For example, the sensor 4 detects the presence / absence of a workpiece, the movement of a jig, the presence / absence of an instruction, the opening / closing of a door, the ON / OFF of a power supply of an electric facility, and the like, and outputs a detection signal to the production management device 2. Specific examples of the sensor 4 include a photoelectric sensor, a proximity sensor, a displacement sensor, a photomicrosensor, an ultrasonic sensor, and a pressure sensor. The sensor 4 may be configured to detect the start and / or end of work in the process by pressing a button or the like when the worker starts and / or finishes the work.

  In addition, when moving to the next actual work process immediately after the preceding actual work process, the sensor for detecting the end of the preceding actual work process and the sensor for detecting the start of the next actual work process may be combined. Good. That is, it is possible for the user to appropriately select which input value (ON, OFF, etc.) from which sensor gives the start and end of each actual work process.

  The type input unit 5 is installed in at least one place (for example, actual work process 1) of the production line, and inputs the type of the work for each work. The type may be identified by, for example, the model number of the finished product. In the present embodiment, it is assumed that a barcode indicating a model number is attached to each workpiece, and a model number read by the barcode reader is output to the production management device 2 using a barcode reader as the product type input unit 5. To do. Note that the product type input unit is not limited to this, and may be an IC chip reader, an image sensor that automatically obtains an inscription on a workpiece by image recognition, or the like. However, the model number may be input using input means such as a keyboard or a mouse.

  Manual assembly lines represented by cell production and the like are often employed in the case of high-mix low-volume production, and it is not possible to accurately detect work delays only by managing each process. This is because, if different products are produced, the allowable range of work time in the process is different even in the same process. Therefore, by using the product type input unit 5 to monitor the work time related to the work currently flowing in the production line for each process and product type, it is possible to monitor the progress for each process and product type. The product type input unit 5 can be installed at any location on the production line. In order to monitor each process and product type in real time, it is desirable at least simultaneously with the start of the first actual work. Must be installed prior to the start of the first actual work. This is because it is not known what kind of work is currently flowing until the kind is input.

  The work ID used in the present embodiment and each embodiment described later indicates the order in which work is performed on a certain production line, and is different from the model number. The work ID is, for example, when a certain work is put into the production line (or when the first actual work process is started after being put into the production line, or when a kind is input from the kind input unit 5). It is acquired by mechanically adding a serial number by the work record acquisition unit 13 (FIG. 1). Alternatively, when the order of production is determined in advance, a bar code indicating a work ID and a sticker on which a number is printed are affixed to the work, and the order of production can be recognized by the worker and the barcode reader. It may be left as it is.

  The production management device 2 and the alarm device 3, and the production management device 2, the sensor 4, and the product type input unit 5 are connected to each other by communication means. Examples of the communication means include wired communication, infrared communication, Bluetooth (registered trademark), and wireless LAN (Local Area Network).

(Example of hand-assembled production line)
Here, an example of a hand-assembled production line will be described with reference to FIG. In the example shown in the figure, there are an actual work process 1 to an actual work process 8, the worker W1 performs the work in the actual work process 1 and the actual work process 2, and the worker W2 performs the actual work process 3 to the actual work process 2. The work W5 is performed, and the worker W3 performs the work of the actual work process 6 to the actual work process 8. In each actual work process, a work place and a work procedure are defined, and a work table, a tool, and the like are installed in each work place. Or the production equipment which an operator operates may be installed.

  In this way, in the hand-assembled production line, a series of operations necessary for product production is divided into a plurality of actual work processes (in this example, actual work process 1 to actual work process 8). The work procedure is defined. An operator is assigned to each actual work process, and the product is completed when all the operations from the first process (actual work process 1) to the final process (actual work process 8) are sequentially performed.

  In the present embodiment, all the processes of the production system 1 are manually assembled lines by workers. However, the present invention is applicable to a production system including a process in which assembly and production are automatically performed by a production facility. It is possible to apply

(Configuration of production management device)
Hereinafter, the configuration of the production management apparatus 2 will be described in detail with reference to FIG. The production management device 2 includes a display unit 11, an operation unit 12, a work record acquisition unit 13, a time supply unit 14, an input / output control unit 20, a production management control unit 30, and a recording unit 40. .

  The input / output control unit 20 controls the input / output of information in the production management apparatus 2, and includes a simulation result display control unit (result output means) 21, a setting screen display control unit 22, an alarm output control unit (alarm control). Means) 23 and an operation accepting unit (condition change accepting means / monitoring condition change accepting means) 24.

  The production management control unit 30 performs control of work progress management (work monitoring / progress abnormality detection / progress abnormality notification) and various settings (specification, adjustment, etc.) related to work progress management. The production management control unit 30 includes a monitoring simulation unit (monitoring simulation unit) 32, a temporary threshold setting unit (condition setting unit) 31, a monitoring target specifying unit (monitoring target specifying unit) 33, and a monitoring threshold setting unit (monitoring condition setting). Means) 34 and a progress monitoring unit (progress monitoring means) 35.

  The recording unit 40 includes a work performance recording unit 41, a temporary threshold recording unit 42, and a monitoring threshold recording unit 43.

  The work record acquisition unit 13 receives the detection signals from the sensor 4 and the product type input unit 5 and analyzes the contents of each detection signal to thereby determine each work based on the current time information supplied from the time supply unit 14. For each ID, a process for obtaining the work start time, work end time, and product type information (that is, model number) in each process is performed. In general, in the manual assembly process, the order of production does not change during production (that is, when a workpiece of model number A is introduced into the production line and then a workpiece of model number B is introduced, In any process, the work number, the movement or the stay are performed in the order of the model number A and the model number B), and the work result acquisition unit 13 can acquire the work ID by counting how many times the sensor has reacted. The product type information can be acquired by referring to the association between the work ID and the model number already recorded in the work record recording unit 41. Information on the work start time, work end time, and model number in each process for each work ID acquired by the work record acquisition unit 13 is recorded in the work record recording unit 41.

  Examples of work performance information recorded in the work performance recording unit 41 are shown in FIGS. As shown in FIG. 2 (a), the work record information is a record of the work start time and work end time in each of the actual work process 1 to the actual work process n, and the model number for each work ID. It has become. This work result information is recorded in order from the work ID with the earliest work start time of the first process (actual work process 1).

  As shown in FIG. 2 (b), the time at which the work is discharged from the previous process may be recorded for each work as the staying start time, and the time when the work is put into the next process may be used as the staying end time. Thereby, the time until the work discharged from the previous process is put into the next process can be calculated as the residence time using the stay start time and end time. In addition, as shown in FIG.2 (b), the residence time in the work-in-process storage place 6 between the real work process 1 and the real work process 2 of FIG. 1 is the work of a previous process (actual work process 1), for example. It can be obtained from the difference between the end time and the work start time of the next process (actual work process 2). Accordingly, the dwell time may be obtained directly from the work end time of the previous process and the work start time of the next process without securing an area for recording the dwell start (end) time.

  This makes it possible to detect a progress abnormality that cannot be detected by monitoring the work itself. In other words, since the actual work time is given by the difference between the start time and the end time, for example, when a certain actual work process is not started due to the absence of the worker, even if a delay occurs, only the actual work time is monitored. However, such an abnormality can be detected by monitoring the dwell time in the waiting process. In addition, after the completion of a certain actual work process, if the next actual work cannot be performed for a certain period of time due to the necessity of cooling or the like, if the next actual work process is started earlier than the certain period of time, there is a problem in quality, etc. Although it may occur, such a progress abnormality can be detected by providing a lower limit value for the residence time and monitoring.

  In this case, a sensor 4BI and a sensor 4BO may be added to the production management apparatus 1 as shown in FIG. The sensor 4BI is a sensor that detects the introduction of a workpiece into the line, and the sensor 4BO is a sensor that detects the discharge of the workpiece from the line. In other words, the actual information from the input of the work to the line until the start of the first actual work process, and the actual information from the end of the last actual work process to the discharge of the work from the line are respectively retained before the start and after the end. It may be acquired as time and set as a monitoring target candidate.

  Furthermore, the definition of the production process is not limited to the above, but can be appropriately selected by the user. That is, for example, it is possible to manage the progress as a single production process by combining the actual work process and the waiting process within the range of one worker.

  The operation unit 12 is an input means for a user to input various setting instructions related to work progress management to the production management apparatus 2, for example, by a key input means such as a keyboard or a button, or a pointing device such as a mouse. Composed. An instruction signal input by the user via the operation unit 12 is supplied to the operation reception unit 24.

  The operation reception unit 24 performs a process of receiving an instruction input related to the various settings from the user. The operation receiving unit 24 supplies the received instruction signal to the temporary threshold setting unit 31, the monitoring target specifying unit 33, the monitoring threshold setting unit 34, and the like according to the instruction content from the user.

  The display unit 11 displays various information based on display control by the simulation result display control unit 21, the setting screen display control unit 22, and the alarm output control unit 23. The display unit 11 may be realized by any display device as long as it can display information. Examples of such a display device include a liquid crystal display device and a CRT (Cathode Ray Tube).

  The simulation result display control unit 21 displays a simulation result on the display unit 11 when the monitoring simulation unit 32 simulates progress monitoring with respect to past work results recorded in the work result record 41. The display is controlled.

  The setting screen display control unit 22 controls the display unit 11 to display a graphical user interface (GUI) screen for the user to perform various settings related to work progress management. More specifically, the various settings are (1) setting of a temporary threshold (condition / first condition), (2) specifying a process (and model number) to be monitored, and (3) a process to be monitored (and For example, setting of a monitoring threshold value (monitoring condition) for each (model number), (4) setting of an alarm output condition at the time of detecting an abnormality, and the like. The user can instruct the production management apparatus 2 to perform various settings as described above by confirming the GUI screen displayed on the display unit 11 and operating the operation unit 12.

  When the progress monitoring unit 35 detects an abnormality in each process to be monitored, the alarm output control unit 23 outputs information indicating that an abnormality has occurred and the process in which the abnormality has occurred to the alarm device 3 as alarm information. The control which performs is performed. The alarm device 3 that has received the alarm information notifies the process progress abnormality such as a delay, so that the user can recognize in real time which process the abnormality has occurred.

  The temporary threshold setting unit 31 is used to set a temporary threshold, that is, a specified value for determining a temporary allowable range (second condition), which is referred to when determining an abnormality such as exceeding the scheduled work time of the process. Is. The temporary threshold is not a monitoring threshold used for actual progress monitoring, but is calculated in the previous stage for obtaining the monitoring threshold, and is a clue for setting the monitoring threshold by narrowing down the processes to be monitored. Is presented to the user. Therefore, it is preferable that the temporary threshold value is one that can be applied uniformly to all model numbers in all processes without taking time and effort.

  More specifically, for example, it is assumed that the temporary threshold is set as an average value + 1σ of work results (a set of work times) in a past predetermined period recorded in the work result record 41. The temporary threshold setting unit 31 records “average value + 1σ” in the temporary threshold recording unit 42 as a temporary threshold.

  When the monitoring simulation unit 32 monitors the progress abnormality of each process on the production line based on the temporary threshold recorded in the temporary threshold recording unit 42, “the progress monitoring unit 35 detects“ progress abnormality ”how many times. It simulates "K". The past performance (that is, the work performance for a certain period recorded in the work performance record 41) is used as a target for monitoring the progress abnormality.

  More specifically, the monitoring simulation unit 32 refers to the work record 41 and determines the work time (actual information) from the difference between the work end time and the work start time in a certain period for each process and model number. Is calculated. Next, a reference value is calculated from a set of work times calculated for one process and one model number, and “progress abnormality” is detected in the progress monitoring simulation based on the temporary threshold stored in the temporary threshold recording unit. The number of times (hereinafter referred to as the number of times of abnormality detection) is counted. The reference value is a value that is used as a reference when determining the allowable range, and is calculated based on a set of work hours. In this embodiment, for example, an average value of a set of work hours is calculated as a reference value. It shall be. The reference value is not limited to the above average value example. For example, the median value and the mode value may be calculated as the reference values.

  FIG. 3 is a diagram for explaining a procedure when the monitoring / simulating unit 32 derives the number of occurrences of abnormality from the set of work times of the one process / one model based on the temporary threshold set as described above. In the graph shown in FIG. 3, the vertical axis indicates the frequency, the horizontal axis indicates the work time section, and the work time is longer toward the right. In addition, although the graph shown in FIG. 3 has taken the form of normal distribution for description, the measured value of actual work time does not necessarily become normal distribution.

  After obtaining the average value μ, the monitoring / simulating unit 32 refers to the temporary threshold recording unit 42 to determine an allowable range in the set. In the present embodiment, since “average value + 1σ” is set as a temporary threshold, a range r equal to or less than “μ + 1σ” is determined as an allowable range. Next, the monitoring / simulating unit 32 outputs the frequency (s1) of the working time exceeding the upper limit (“μ + 1σ”) (upper limit value) of the allowable range r as the number of delays.

  In the above description, the case where “average value + 1σ” is set as the temporary threshold has been described, and the case where the upper limit is set in the allowable range r has been described. However, the present invention is not limited to this. For example, “reference value (average value, median value, mode value, etc.) ± 1σ” may be set as a temporary threshold, and a range R from “reference value−1σ” to “reference value + 1σ” may be determined as an allowable range. In this case, the frequency (s2) of the work time that falls below the lower limit (“reference value−1σ”) (lower limit) of the allowable range R may be output as the number of abnormal terminations.

  As a result, when the work is finished much faster than the expected working time, there may be situations such as forgetting to attach parts or extreme deterioration in quality. By detecting an abnormality with the lower limit value, it is possible not only to detect a delay but also to cope with an abnormal early termination.

  The number of times of abnormality detection output by the monitoring simulation unit 32 is output as a simulation result via the simulation result display control unit 21 for each process and for each model number, and displayed on the display unit 11.

  FIG. 4 shows an example of the simulation result displayed on the display unit 11. The simulation result 70 represents the number of delays ("upper limit" column) and the number of abnormal terminations ("lower limit" column) in a table format for each process (column) and model number (row). . The display form of the simulation result 70 is not limited to the example shown in FIG.

  Furthermore, it is desirable to highlight cells of process / model number that have a large number of delays (abnormal end times) (cell 71, cell 72). As a result, the user can easily know the combination of processes and model numbers that need countermeasures against the progress abnormality because the number of delays (abnormal end times) is large from the past results.

  As a result, the user can easily narrow down the process / model number to be monitored for progress abnormality to the process / model number requiring progress abnormality countermeasures. If the progress monitoring targets are narrowed down, it is possible to reduce the effort for setting a threshold for the progress monitoring target, and as a result, it becomes possible to manage the production progress without reducing the work efficiency of progress management. .

  It should be noted that as to which cell is highlighted, a predetermined rule may be determined such that the number of times is up to the top n, or the number of times exceeds a predetermined value.

  For example, the following method is conceivable for the user to specify a combination of a process and a model number to be monitored by using the simulation result 70.

  It is assumed that the user selects the cell 72 and clicks the determination button 73 using the operation unit 12 configured with a pointing device such as a mouse. As a result, the instruction signal “monitor the“ process 2 / model number FFFFF ”based on the lower limit and upper limit of the monitoring threshold” ”is supplied to the monitoring target specifying unit 33 via the operation receiving unit 24.

  The monitoring target specifying unit 33 specifies a combination of processes and model numbers to be monitored. When the monitoring target specifying unit 33 receives an instruction signal related to monitoring target specification from the operation receiving unit 24, the monitoring target indicating which process / model number combination is monitored using which of the monitoring threshold values (upper limit or lower limit) Information is set in the monitoring threshold value recording unit 43.

  FIG. 5A is a diagram illustrating an example of monitoring target information recorded in the monitoring threshold value recording unit 43 by the monitoring target specifying unit 33 in response to an instruction input from the user in the above-described example. The “process” column stores information indicating “process 2” selected in the above example, and the “model number” column stores information indicating “FFFFF”.

  In the present embodiment, the monitoring target specifying unit 33 is configured to specify the monitoring target based on a user instruction, but is not limited thereto. For example, the simulation result 70 output by the monitoring simulation unit 32 may be referred to and a combination of processes (and model numbers) to be monitored may be automatically specified based on a predetermined condition. For example, as a predetermined condition, it may be possible to set “the number of times up to the top n” or “the number of times exceeds m”.

  The user can specify the monitoring target based on the presented result, but it is not always necessary to select all the highlighted processes / types, and a progress abnormality is detected in the simulation result. However, if a delay or early termination occurs, a combination of processes and varieties that are considered to have a significant effect on the delivery date and quality may be added to the monitoring target.

  The monitoring threshold value setting unit 34 calculates and sets a necessary monitoring threshold value for the process / model number combination specified as the monitoring target. The monitoring threshold value setting unit 34 refers to the frequency distribution (FIG. 3) used when the monitoring simulation unit 32 simulates monitoring. This frequency distribution corresponds to the combination of the process / model number specified by the monitoring target specifying unit 33. In the above example, the combination of “process 2” and “model number FFFFF” is instructed to be monitored based on both the upper limit and the lower limit. Therefore, the graph of FIG. If it is a distribution, the working time at the upper limit (μ + 1σ) and the lower limit (μ + 1σ) is calculated. In the present embodiment, for example, it is assumed that upper limit = 70 seconds (s) and lower limit = 10 seconds (s) are calculated.

  The monitoring threshold value setting unit 34 records the calculated monitoring threshold value in the monitoring threshold value recording unit 43.

  FIG. 5B is a diagram illustrating an example of the monitoring threshold set by the monitoring threshold setting unit 34 for the monitoring target specified by the monitoring target specifying unit 33 in the above example. The first row stores the monitoring threshold when the cell 71 is selected in FIG. In the second row, the monitoring threshold when the cell 72 is selected is stored. The progress monitoring unit 35 can monitor the progress abnormality of each process / model number using the monitoring target information and the monitoring threshold recorded in the monitoring threshold setting unit 34.

  The progress monitoring unit 35 monitors the progress of the monitoring target (process / model number) recorded in the monitoring threshold setting unit 34 and detects a progress abnormality. When a progress abnormality is detected, the alarm device 3 controls to notify the progress abnormality. More specifically, for example, when a workpiece of the model number BBBBB (hereinafter referred to as workpiece B) is input in step 2, the work record acquisition unit 13 acquires the input time point as a work start time, and the work record record 41 Are stored in association with the process / model number. The progress monitoring unit 35 monitors the difference between the current time and the work start time, thereby monitoring the work time related to the work B input to the process 2. Here, when 60 seconds, which is the upper limit of the monitoring threshold, elapse before the workpiece B is discharged from the process 2, the progress monitoring unit 35 detects that a delay has occurred with respect to the process 2, and Information indicating that a delay has occurred is output to the alarm device 3 via the alarm output control unit 23.

According to the above configuration, the progress monitoring unit 35 monitors the production progress based on the monitoring threshold calculated by the monitoring threshold setting unit 34 for the combination of the process / model number specified as the monitoring target based on the user's instruction. I do. When an abnormality such as a delay is detected, the progress monitoring unit 35 notifies the user of the detection information via the alarm device 3.

  The determination of whether or not the progress is abnormal is performed not only for each process but also for each model number, so that it is possible to more accurately manage the production progress even in the hand-assembled line for multi-product and small-quantity production. Then, the user can recognize the abnormality in the production progress in real time, and can quickly take countermeasures.

  From the above, it is possible to manage the production progress without reducing the work efficiency related to the progress management.

(Processing of production management equipment)
FIG. 6 is a flowchart showing a flow of progress monitoring simulation processing, monitoring target specifying processing, and monitoring threshold setting processing in the production management apparatus 2 of the present embodiment.

  For example, when receiving an instruction for performing progress monitoring simulation from the user via the operation receiving unit 24, the production management device 2 starts various setting processes related to work progress management.

  First, the monitoring simulation unit 32 acquires a work record used in the progress monitoring simulation from the work record 41 (S101).

  Next, the monitoring simulation unit 32 determines an allowable working time range (for example, an upper limit value “μ + 1σ”) based on a predetermined provisional threshold value (for example, “average value + 1σ”), and is set for each process and each model number. Each work time acquired in the above is verified, and the frequency of the work time deviating from the allowable range (that is, the number of times of abnormality detection) is counted for each process and for each model number (S102).

  Subsequently, when all the work times have been verified, the monitoring simulation unit 32 outputs the number of abnormality detections counted for each process and for each model number as a simulation result to the simulation result display control unit 21 (S103). ). The simulation result display control unit 21 performs control to display the simulation result supplied from the monitoring simulation unit 32 on the display unit 11 (S104) (FIG. 4).

  Here, for example, the production management apparatus 2 receives an instruction for specifying a process (and model number) to be monitored from the user via the GUI screen as a simulation result illustrated in FIG. 4 and the operation reception unit 24. (YES in S105), the monitoring target specifying unit 33 displays monitoring target information indicating the specified process (and model number) so that the progress monitoring unit 35 monitors the process (and model number) specified by the user. The monitoring threshold recording unit 43 is set (S106) (FIG. 5A).

  Next, for each set monitoring target, the monitoring threshold setting unit 34 sets a monitoring threshold to be applied to the monitoring target (S107). Specifically, for example, the actual allowable time (for example, “70 seconds or less”) is calculated from the upper limit value of the allowable range obtained based on the temporary threshold. The monitoring threshold value setting unit 34 records the calculated monitoring threshold value in the monitoring threshold value recording unit 43 for each monitoring target (that is, in association with the process (and the model number)) (S108) (FIG. 5B). .

  According to the above method, the monitoring simulating unit 32 detects how many times an abnormality is detected when the past work is temporarily monitored using the past work results and a predetermined temporary threshold. Can be simulated. By confirming the simulation result based on the past results, the user can easily specify the process (and the combination of the model number) that requires countermeasures against the progress abnormality.

  Further, if the monitoring target is specified, the monitoring threshold value is automatically set for each monitoring target using the temporary threshold value, so that it is possible to release the user from a complicated operation for setting the threshold value. .

  As a result, the progress abnormality monitoring target can be narrowed down to the processes that require countermeasures against the progress abnormality, and the monitoring conditions for the narrowed monitoring target can be easily set. In other words, it is possible to reduce the labor required to set the conditions for progress management, and in the actual monitoring stage, the monitoring targets are narrowed down to the processes that require countermeasures against progress abnormalities. It is possible to prevent frequent occurrences and perform efficient progress management.

  As a result, it is possible to manage the production progress without reducing the work efficiency related to the progress management.

  In the present embodiment, the procedure for simulating monitoring by acquiring the work time for each actual work process and for each model number shown in FIG. 2A has been described as an example, but the present invention is not limited to the above. For example, by acquiring the stay time (actual information) between the actual work processes (that is, the waiting process) shown in FIG. The number of times of abnormality detection may be counted. Also, if a monitoring simulation is performed for the work time for each process without using the model number, the number of abnormalities such as a delay in progress monitoring for each process can be counted regardless of the model number.

  In the above description, the provisional threshold is “average value + 1σ”, but the provisional threshold is not limited to this. For example, the upper limit (and / or the lower limit) of the allowable range may be determined based on the ratio of working time as ± (or +, −) x% (x is arbitrary) of the reference value. Alternatively, the measured values (working time) that are separated by y (up or down) y from the measured value (working time) of the reference value as ± (or +,-) y (y is arbitrary) of the reference value May be the upper limit (and / or the lower limit). In addition, as in the example given in the above description, when the measured value has a numerical value in units of time such as “working time” or “residence time”, the temporary threshold is set to the reference value ± (or + ,-) As z seconds, a measurement value longer (or shorter) than the reference value by z seconds may be used as the upper limit (and / or lower limit) of the allowable range. Also, different values may be defined for the upper limit and the lower limit.

  In the above description, the progress monitoring unit 35 and the alarm output control unit 23 for detecting the progress abnormality and notifying the user are provided in the production management apparatus 2, but the present invention is not limited to this. For example, a progress monitoring device (not shown) including the progress monitoring unit 35 and the alarm output control unit 23 can communicate with the production management device 2 and the alarm device 3 that do not include the progress monitoring unit 35 and the alarm output control unit 23. May be provided. In this case, the progress monitoring device monitors the progress abnormality for the monitoring target specified by the production management device 2 based on the monitoring threshold defined by the production management device 2. At this time, the work performance acquisition unit 13 and the work performance record 41 may be provided in at least one of the production management device 2 and the progress monitoring device.

  Alternatively, a plurality of work performance collection devices (not shown) provided with a work performance acquisition unit 13 for collecting work performance from each process are arranged for each process, and work performance data is obtained from each work performance collection device. It may be supplied to the production management device 2. In this case, if the production management device 2 and each work result collection device are provided so as to communicate with each other, the production management device 2 has the same effect as that of the above-described embodiment even if the production result acquisition unit 13 is not provided. Is obtained.

[Embodiment 2]
In the above-described embodiment, an example has been described in which various settings related to production progress management are performed based on a predetermined provisional threshold, and progress monitoring is performed based on a monitoring threshold determined by the production management device 2. If each of the above threshold values is configured so that the user can easily and arbitrarily adjust the threshold values, it is possible to set threshold values with higher accuracy and improve progress monitoring accuracy. Below, the production management apparatus 2 which can adjust each threshold value is demonstrated in detail.

(Adjustment of temporary threshold)
FIG. 7 is a diagram showing a main configuration of the production management device 2 for adjusting the temporary threshold and the monitoring threshold according to the present embodiment. As shown in the figure, the production management device 2 is further provided with a temporary threshold value adjustment unit (condition setting unit) 38 and a monitoring threshold value adjustment unit (monitoring condition setting unit) 39, as compared with the configuration shown in FIG. It has become. The other configuration is the same as the configuration shown in FIG. 1 described above, and a description thereof will be omitted.

  The temporary threshold value adjustment unit 38 changes the temporary threshold value recorded in the temporary threshold value recording unit 42 by the temporary threshold value setting unit 31 based on a user instruction. In the present embodiment, the user's instruction to change the temporary threshold is performed using the GUI screen.

  FIG. 8 is a diagram illustrating an example of a GUI screen for designating / adjusting a temporary threshold displayed on the display unit 11 based on the display control of the setting screen display control unit 22. The temporary threshold setting screen 80 is displayed by the setting screen display control unit 22 by receiving, for example, an instruction to perform progress monitoring simulation or a temporary threshold adjustment instruction from the user via the operation receiving unit 24.

  The temporary threshold setting screen 80 includes, for example, a combo box 74 for designating a type of threshold, a text box 75 for designating a threshold, and an evaluation button 76 for starting monitoring simulation under the conditions specified above. , And a combo box 77 for designating the past performance period to be simulated. Note that the design of the temporary threshold setting screen 80 is not limited to this.

  Using the combo box 74, the user can specify the type of threshold to be obtained. For example, in the example described above, it is conceivable that “standard deviation”, “ratio”, “frequency”, and “time width” can be selected. Thus, in the text box 75 for designating the threshold value, “reference value (average value, median value, mode value) ± wσ”, “± x% of reference value”, and “y from the reference value”, respectively. The measurement value “upper (lower) position” and a numerical value indicating “reference value ± z seconds” are designated.

  Note that, as in the combo box 77, it is possible to derive a simulation result desired by the user by arbitrarily designating the simulation target period. For example, if it is determined that a work result that is older than a certain level cannot be relied on due to changes in the work environment, the user performs a production simulation so that a monitoring simulation is performed based only on a recent reliable work result. The management apparatus 2 can be instructed.

  If the simulation result once output by the production management apparatus 2 is not satisfactory to the user, the user may call the temporary threshold setting screen 80 again and readjust the temporary threshold. . This makes it easy to adjust the temporary threshold until a satisfactory simulation result is obtained by the user. Specifically, for example, as a result of uniformly applying a temporary threshold value to a process with little variation in work time, the temporary threshold value for the process becomes a reference value ± 0.5 seconds, and abnormality detection is performed. Since it occurs frequently, such a temporary threshold is not an optimum threshold for monitoring progress. Therefore, in such a case, by adjusting the temporary threshold, it is possible to adjust the alarm occurrence frequency and suppress the occurrence of unnecessary alarms.

  The temporary threshold specified on the temporary threshold setting screen 80 is supplied to the temporary threshold adjustment unit 38 via the operation receiving unit 24 as temporary threshold information. The temporary threshold adjustment unit 38 records the designated temporary threshold in the temporary threshold recording unit 42 based on the temporary threshold information. Subsequently, the monitoring simulation unit 32 performs monitoring simulation based on the recorded temporary threshold.

(Adjustment of monitoring threshold)
The monitoring threshold value adjustment unit 39 calculates the monitoring threshold value calculated by the monitoring threshold value setting unit 34 and recorded in the monitoring threshold value recording unit 43 for the combination of the process / model number specified as the monitoring target based on the user's instruction. To change. In the present embodiment, the user's instruction to change the monitoring threshold is performed using the GUI screen.

  FIGS. 9A and 9B are diagrams illustrating an example of a GUI screen for designating / adjusting the monitoring threshold value displayed on the display unit 11 based on the display control of the setting screen display control unit 22. The monitoring threshold adjustment screen 90 automatically calculates a monitoring threshold for a monitoring target specified by the user (or the device itself), for example, by receiving an instruction for monitoring threshold adjustment from the user via the operation receiving unit 24. After that, it is displayed by the setting screen display control unit 22.

  The monitoring threshold adjustment screen 90 includes, for example, a graph area 78 illustrating past work results (working time or staying time) and upper and lower limits of the currently set monitoring threshold, and an input area 79 that receives a user change instruction. However, it is not limited to this. For example, the currently determined monitoring threshold value may be shown as shown in FIG. 5B and the user may manually change it. However, if the graph is used, the relationship between the actual results and the monitoring threshold value can be visually grasped and the optimum monitoring threshold value can be easily determined. Therefore, it is possible to perform better monitoring if the user specifically changes the value. If it is not known, it is preferable to illustrate the current situation using a graph.

  In the input area 79, a text box for designating a monitoring threshold value may be provided. Alternatively, for example, in order to calculate a monitoring threshold value at which a specified number of abnormalities are detected, a text box for specifying the number of times may be provided. The monitoring threshold value setting unit 34 calculates a threshold value that is detected four times as abnormal by deviating from the allowable range four times. More specifically, for example, when 4 is input to the text box 81 for designating the excess number (abnormality detection number) by the user, the monitoring threshold value setting unit 34 exceeds the upper limit value four times in total. Such an upper limit value (for example, the upper limit line 82 in FIG. 9A), that is, the upper limit value “80 seconds” is calculated and set.

  In this case, the threshold value may be an upper limit value detected four times in total, a lower limit value, an intermediate value between the upper limit value and the lower limit value, or the like.

  The monitoring threshold specified by the monitoring threshold adjustment screen 90 is supplied to the monitoring threshold setting unit 34 via the operation accepting unit 24 as monitoring threshold information. The monitoring threshold setting unit 34 records the designated (or calculated) monitoring threshold in the monitoring threshold recording unit 43 based on the monitoring threshold information.

  Accordingly, the user can easily record not only the monitoring threshold automatically set by the apparatus but also the monitoring threshold adjusted by the apparatus in the monitoring threshold recording unit 43. Thereby, the user's threshold setting operation can be supported and the burden can be reduced.

  Note that the graph shown in the graph area 78 is not limited to the line graph shown in FIG. 9A or the histogram shown in FIG. 9B, but for visually grasping the relationship between the actual result and the monitoring threshold. Any expression format may be used as long as it supports the user.

(Threshold adjustment process)
FIG. 10 is a flowchart showing a flow of progress monitoring simulation processing, monitoring target specifying processing, and monitoring threshold setting processing in the production management apparatus 2 of the present embodiment.

  For example, when receiving an instruction for performing progress monitoring simulation from the user via the operation receiving unit 24, the production management device 2 starts various setting processes related to work progress management.

  First, the setting screen display control unit 22 displays a temporary threshold setting screen 80 as shown in FIG. 8 on the display unit 11 (S201). At this time, a predetermined temporary threshold is also displayed.

  Here, when an instruction to confirm the setting of the temporary threshold is input from the user (YES in S202), the temporary threshold setting unit 31 sets the temporary threshold displayed in S201 in the temporary threshold recording unit 42 (S203). ). On the other hand, when an instruction to change the setting of the temporary threshold is input from the user (NO in S202, YES in S204), the temporary threshold setting unit 31 sets the temporary threshold specified by the user received in S204 as the temporary threshold recording unit. 42 is set (S205).

  Subsequently, the monitoring simulation unit 32 acquires a work record used in the progress monitoring simulation from the work record 41 (S206). Here, as shown in FIG. 8, when the simulation target period is specified, only the work results recorded within the specified period are acquired.

  Next, the monitoring simulation unit 32 performs a progress monitoring simulation based on the temporary threshold set in S203 or S205 (S207). Since the simulation procedure is the same as that of the first embodiment, the description thereof is omitted here. In S207, when the verification is completed for all the acquired work times, the monitoring simulation unit 32 outputs the frequency (number of times of abnormality detection counted) that deviates from the allowable range for each process and for each model number (S208).

  Here, the simulation result display control unit 21 displays the number of times of abnormality detection for each process and each model number on the display unit 11. The user confirms the simulation result displayed on the display unit 11. Here, if the user determines that the temporary threshold needs to be changed, the user inputs an instruction to change the temporary threshold (YES in S209). In this case, the process returns to a state of waiting for how to change the temporary threshold (S204).

  On the other hand, if it is determined that there is no need to change the temporary threshold (NO in S209), then the monitoring target specifying unit 33 specifies the process / model number combination to be monitored based on a predetermined condition. The monitoring threshold recording unit 43 is set (S210). The monitoring target may be specified in accordance with a user instruction, as in the first embodiment.

  Next, the setting screen display control unit 22 displays the temporary threshold value and the number of times of abnormality detection on the display unit 11 for each specified monitoring target (combination of process / model number) (S211).

  Here, when an instruction to confirm the setting of the monitoring threshold value is input from the user (YES in S212), the monitoring threshold value setting unit 34 calculates the monitoring threshold value for each monitoring target specified in S210 (S213). ), The monitoring target and the calculated monitoring threshold are associated and recorded in the monitoring threshold recording unit 43 (S214). The upper limit (and lower limit) of the monitoring threshold is calculated using the upper limit (and lower limit) of the allowable range determined based on the temporary threshold in S207.

  On the other hand, when an instruction to change the setting of the monitoring threshold is input from the user (NO in S212), the input of an instruction to set the monitoring threshold for the monitoring target is awaited (S215). When an instruction to set the monitoring threshold is input (YES in S215), the monitoring threshold setting unit 34 displays the monitoring threshold adjustment screen together with the monitoring target performance data and the current temporary threshold (S216).

  Subsequently, an instruction for designating a monitoring threshold is awaited from the user (S217). When the instruction is input, simulation is performed again based on the designated monitoring threshold (S218), and a new simulation result is obtained. What reflects (temporary threshold and the number of abnormality detections) is displayed on the display unit 11 (return to S211). Note that if the instruction input in S217 is not an instruction to specify the numerical value of the monitoring threshold but an instruction to specify the number of times of abnormality detection, a threshold is calculated so that the specified number of times of abnormality is detected. The calculated threshold value may be set as the monitoring threshold value, and the process may proceed to S218.

  According to the above method, the temporary threshold setting screen 80 is displayed via the setting screen display control unit 22, and the user can easily give an instruction to adjust the temporary threshold to the temporary threshold setting unit 31. Therefore, adjustment of the temporary threshold value for obtaining a satisfactory simulation result is facilitated, and work efficiency for progress management is not reduced. Further, by displaying the monitoring threshold value adjustment screen 90, the user can easily instruct the monitoring threshold value setting unit 34 to adjust the calculated monitoring threshold value for each monitoring target. Therefore, it is possible to set a threshold with higher accuracy without reducing work efficiency related to progress management, and it is possible to improve the accuracy of progress monitoring.

  In addition, according to the above method, it is possible to apply the temporary threshold to the whole once and perform “only necessary portions” adjustment, and where adjustment is unnecessary (the temporary threshold can be maintained with sufficient monitoring) There is no need to make settings. Therefore, it is possible to easily set the threshold value and apply it uniformly to all the monitoring targets, rather than setting the monitoring condition for each monitoring target from the zero state where no threshold is set. It becomes possible to set a threshold value with higher accuracy than the time.

  In the above description, when adjusting the monitoring threshold value (S217), only the monitoring threshold value (second condition) is adjusted while maintaining the temporary threshold value (first condition). The change of the temporary threshold may be accepted every time.

[Variation: Adjust the monitoring threshold for each worker]
In the above-described embodiment, the user can arbitrarily adjust the monitoring threshold for each process and for each model number. However, the production management device 2 of the present invention is not limited to the above-described configuration. For example, as shown in FIG. 2 (c), the work record is recorded in the work record recording unit 41 in association with the work start and end times, which are recorded for each actual work process and product type, in addition to the work name. The recording unit 41 may include a worker information storage unit for storing worker information.

  Thereby, it becomes possible to manage work time for every process, every model number, and every worker. Accordingly, as shown in FIG. 5C, a monitoring threshold can be set for each worker. More specifically, as an example of the adjustment method of the monitoring threshold value, an example shown in FIG. 5 (c) will be described. For example, for an expert (worker E), the tolerance is narrow, and for a beginner (worker A). The allowable width can be widened. This prevents unnecessary alarms from occurring frequently and enables efficient monitoring.

[Embodiment 3]
In the present embodiment, the configuration of the production management device 2 that monitors the progress based on the monitoring threshold after the monitoring threshold is determined for each process and for each model number, and notifies the abnormality of the production progress will be described in more detail.

(Configuration 2 of production management device)
FIG. 11 is a diagram illustrating a main configuration of the production management apparatus 2 according to the present embodiment. As shown in the figure, the production management apparatus 2 has a configuration further including an alarm output condition management unit (alarm output condition management means) 36 and an alarm output condition recording unit 44, as compared with the configuration shown in FIG. ing. The other configuration is the same as the configuration shown in FIG. 1 described above, and a description thereof will be omitted.

  The alarm output condition management unit 36 controls the progress monitoring unit 35 so as to output an alarm to the alarm device 3 only when a predetermined condition is satisfied. The predetermined conditions are, for example, “notify only when the upper limit of the monitoring threshold is exceeded (when delayed)”, “notify when progress abnormality is detected n times or more in a cumulative (continuous)” The alarm output condition for the alarm output condition management unit 36 to determine whether or not to output an alarm. In the present embodiment, this alarm output condition is recorded in the alarm output condition recording unit 44 for each process and for each monitoring target for each model number.

  The alarm output condition recorded in the alarm output condition recording unit 44 may be set in advance, or may be arbitrarily set / changed by the user.

  FIG. 12 is a diagram illustrating an example of an alarm output condition setting screen displayed on the display unit 11 by the setting screen display control unit 22.

  In the example shown in FIG. 12, in the “upper limit (lower limit) threshold” item 83, by selecting “not notify”, the alarm is not output even if the progress monitoring unit 35 detects an abnormality. Can do. By selecting either “cumulative” or “continuous” in the “counting method” item 84, the counting method of the number of abnormalities detected by the progress monitoring unit 35 is accumulated including those that occur intermittently. It is possible to set whether counting is performed only in the case of counting continuously or in case of continuous occurrence. In the “number of times” item 85, a condition for outputting an alarm (number of times of abnormality detection) can be set by inputting a numerical value.

  For example, for the work time of the model number BBBBB in step 3, an alarm output condition of “notify only when a delay occurs“ continuously twice (within the broken line in FIG. 12) ”based on the upper limit” is set. become. In addition, with respect to the working time of the model number CCCCC in step 4, an alarm output condition of “notify when early termination or delay occurs three times in a cumulative manner based on the upper limit and the lower limit” is set.

  FIG. 13 is a diagram illustrating an example of alarm output conditions recorded in the alarm output condition recording unit 44. The information shown in FIG. 13 indicates the alarm output condition specified by the user from the alarm output condition setting screen in accordance with the example shown in FIG. The item “number of detections” 86 indicates the number of abnormality detections detected since the progress monitoring unit 35 started progress monitoring. The progress monitoring unit 35 identifies the process and model number in which an abnormality has been detected, and adds 1 to the number of times of the process and model item 86 based on the counting method specified in the item “count method”.

  The alarm output condition management unit 36 determines whether or not to output an alarm based on the alarm output condition shown in FIG.

  As described above, the alarm device 3 can be prevented from operating more than necessary by appropriately setting the alarm output condition. For example, once a delay occurs, it is especially effective in an environment where it is not necessary to take a delay measure, but it is necessary to take a delay measure only when it occurs multiple times (continuously). .

(Monitoring / abnormality notification processing)
FIG. 14 is a flowchart showing the flow of progress monitoring processing and abnormality notification processing in the production management apparatus 2 (FIG. 11) of the present embodiment. In the figure, an example of FIG. 13 (a combination of process 4 and model number CCCCC (hereinafter referred to as monitoring target A)) will be described in the case where the number of abnormality detections is cumulatively counted.

  The progress monitoring unit 35 monitors the progress by updating the work results in the work result record 41 by the work result acquisition unit 13 and the time supply unit 14. More specifically, first, the progress monitoring unit 35 detects that the work start time of the process is updated in the work record recorded in the work record recording unit 41, and the corresponding process is progressed. After confirming that the monitoring target is specified, progress monitoring is started (YES in S300).

  The progress monitoring unit 35 determines the difference between the current time and the work start time of the monitoring target A for the monitoring target A specified in the monitoring threshold recording unit 43 while the work end time is not updated (NO in S301). The monitoring target A is monitored until the upper limit threshold (450 seconds) is exceeded (NO in S302).

  Here, if the work end time is not updated and 450 seconds are exceeded from the start time (YES in S302), the progress monitoring unit 35 detects an abnormality caused by the delay in the monitoring target A (S303). . Subsequently, 1 is added to the number of detections recorded in the cumulative counter (item 86 in FIG. 13) (S304).

  The alarm output condition management unit 36 compares the updated number of detections of the cumulative counter with the number threshold “3” (item 87 in FIG. 13), and when the number of detections exceeds the number threshold (YES in S305). It is determined that abnormality notification is performed. In response to this, the progress monitoring unit 35 controls the alarm device 3 to output an alarm together with information indicating a process in which an abnormality has occurred (S306). Finally, the number of times the cumulative counter is detected is initialized (S307), and if an instruction to end monitoring is not input (NO in S308), the process returns to S300 and waits until the next monitoring target A starts work. On the other hand, even when the number of detections does not reach the number threshold “3” (NO in S305), if an instruction to end monitoring is not input, the process returns to the steps after S300.

  On the other hand, when the update of the work end time is detected for the monitoring target A in S301, the progress monitoring unit 35 determines whether or not the difference between the work end time and the work start time exceeds the lower limit threshold (300 seconds). Is determined (S309). When it is determined that the difference is less than 300 seconds (NO in S309), the progress monitoring unit 35 indicates that an early abnormal end has occurred in the monitoring target A due to the work being completed unexpectedly earlier. Detect (S303). The processing after S304 is the same as described above.

  In S309, when the difference is 300 seconds or more, it is determined that the work time of the monitoring target A is within the allowable range, and if the instruction to end the monitoring is not input, the process returns to the steps after S300 as it is. .

  As a result, the progress monitoring unit 35 can be controlled so that an alarm is output only when a countermeasure is required for a monitoring target in which an abnormality has occurred more than the specified number of times.

  FIG. 15 is a flowchart showing the flow of progress monitoring processing and abnormality notification processing in the production management apparatus 2 (FIG. 11) of the present embodiment. In the figure, an example of FIG. 13 (a combination of process 3 and model number BBBBB (hereinafter referred to as monitoring target B)) will be described in the case where the number of abnormality detections is continuously counted.

  The difference from the alarm output control procedure based on the cumulative number of times shown in FIG. 14 is that the continuous counter (item 86 in FIG. 13) is not only after the alarm is output, but also after the work is normally completed within the allowable range. It is the point that is initialized. This is for counting the number of abnormality detections from 0 when no abnormality is detected continuously. Hereinafter, only differences from the example of FIG. 14 will be described in detail.

  When the update of the work end time is detected for the monitoring target B (YES in S401), the progress monitoring unit 35 firstly sets the difference between the work end time and the work start time below the lower limit threshold (100 seconds). It is determined whether or not there is (S409). When the difference is less than 100 seconds (YES in S409), the progress monitoring unit 35 detects that an early abnormal end has occurred in the monitoring target B due to the work being completed unexpectedly earlier (S403). ). On the contrary, if the difference is 100 seconds or more, it is determined that the work time of the monitoring target B is within the allowable range, the number of times of detection of the continuous counter is initialized (S407), and the monitoring end instruction is not input. (NO in S408), the process returns to S400 and waits until the next work of the monitoring target B starts.

  As a result, the progress monitoring unit 35 can be controlled so that an alarm is output only when a countermeasure is required for a monitoring target in which an abnormality equal to or more than the designated number has occurred continuously.

  According to each of the above methods, the alarm device 3 can be prevented from operating more than necessary based on the alarm output conditions set as appropriate, and the user can take measures against the progress abnormality only for the process that needs the countermeasure for the progress abnormality. Recognize progress abnormalities that occur only when necessary.

  In the present embodiment, the alarm output condition is managed for each process and for each model number. As a result, even when products of the same product type (model number) are manufactured only sparsely (when only one product is included in one lot), the same process, the same model number, and errors occur in a cumulative (continuous) manner. Can be detected.

  However, the present invention is not limited to the above configuration. For example, it is possible to set an alarm output condition for each process without using a model number. In this case, it is possible to monitor a process in which progress abnormality is likely to occur regardless of the difference in model number (product type).

  Alternatively, when managing the number of delays and the number of early abnormal terminations individually, a cumulative (continuous) counter may be provided for each, and an alarm output condition may be set. In this way, for example, when the delay is more serious than when it ends unexpectedly, the progress monitoring unit 35 is controlled to output a warning more frequently when the delay occurs. Is possible.

  In the above description, the case where the production management apparatus 2 detects a delay or early abnormal end using the work time (or staying time) has been described, but the present invention is not limited to this. For example, the number of work-in-progress stock (actual information / number of objects) remaining in the work-in-process storage place between processes may be measured, and progress monitoring may be performed based on the work-in-progress stock number.

[Embodiment 4] (Progress monitoring based on in-process inventory)
In each of the above-described embodiments, the configuration for performing process progress monitoring (and various settings for monitoring) using the measured work time has been described, but the configuration of the production management device 2 of the present invention is the same as this. It is not limited. Hereinafter, the configuration of the production management apparatus 2 that performs process progress monitoring (and various settings for monitoring) based on the number of workpieces in a waiting state (in-process inventory number) will be described.

  The in-process inventory recording unit 45 shown in FIG. 11 records the number of workpieces waiting to be input to the next process at the in-process product storage place between the processes. FIG. 16 shows an example of in-process inventory information recorded in the in-process inventory recording unit 45.

  The in-process inventory management unit 37 refers to the in-process inventory recording unit 45 and manages in-process inventory information. More specifically, for example, when the work end time of the process k recorded in the work record 41 is updated by the work record acquisition unit 13 acquiring the detection signal from the sensor 4, the process k + 1 is applicable. Add one in-process inventory for the model number. Further, when the work start time of the process k + 1 is updated, 1 is subtracted from the in-process inventory number of the corresponding model number of the process k + 1. Thereby, it is possible to grasp in real time how many workpieces are in a waiting state before which process.

  Accordingly, if the upper limit value of the in-process inventory quantity is set as the monitoring threshold value in the monitoring threshold recording unit 43 for each process and for each model number, the progress monitoring unit 35 can monitor the progress abnormality based on the in-process inventory quantity. It becomes possible.

  The past performance of the in-process inventory information may be used to narrow down the monitoring target and set the monitoring threshold. More specifically, if the update log of in-process inventory information shown in FIG. 16 is stored at regular intervals, it can be used as a past record. After that, as in the above-described embodiments, a temporary threshold value is obtained, a monitoring simulation is performed, a monitoring target is specified, and a monitoring threshold value with higher accuracy is adjusted for each monitoring target.

  From the above, it is possible to manage the production progress without reducing the work efficiency related to the progress management even if the number of work-in-process stocks is used.

  Furthermore, it is possible to monitor progress based on the number of work-in-process inventory that can be seen, rather than the “time” that cannot be visually confirmed, so it is possible to intuitively grasp the set threshold. The burden of threshold adjustment can be reduced.

  In addition, even a slight delay that is not detected by time monitoring is expected to cause a problem if accumulated, but in such a case, the actual work process where the delay has occurred is expected. A progress abnormality can be detected by checking the number of inventory in progress immediately before.

  The production management device 2 according to the present invention uses the work inventory number recorded in the work inventory recording unit 45 and the work time (staying time) recorded in the work record 41 to make various settings related to progress monitoring. It can also be configured to monitor progress.

  In the above description, the case where only the upper limit value is designated has been described. However, the lower limit value can be designated for the inventory quantity. In this case, for example, when the work speed of the worker B in the actual work process k + 1 is faster than the worker A in the actual work process k, the in-process inventory becomes 0, and the work is performed on the worker B. There is a problem that time that cannot be generated occurs. Therefore, by monitoring the progress so that the administrator can detect when the in-process inventory number falls below a certain number before the inventory quantity becomes 0, the above problems can be prevented. Can do.

  The present invention is not limited to the above-described embodiments, and various modifications are possible within the scope shown in the claims, and embodiments obtained by appropriately combining technical means disclosed in different embodiments. Is also included in the technical scope of the present invention.

  Finally, each block of the production management device 2, in particular, the monitoring simulation unit 32, the monitoring target specifying unit 33, and the monitoring threshold setting unit 34 may be configured by hardware logic, or a CPU is used as follows. It may be realized by software.

  That is, the production management apparatus 2 includes a CPU (central processing unit) that executes instructions of a control program that realizes each function, a ROM (read only memory) that stores the program, and a RAM (random access memory) that expands the program. And a storage device (recording medium) such as a memory for storing the program and various data. An object of the present invention is a recording medium on which a program code (execution format program, intermediate code program, source program) of a control program of the production management apparatus 2 which is software for realizing the functions described above is recorded so as to be readable by a computer. This can also be achieved by supplying the production management apparatus 2 and reading and executing the program code recorded on the recording medium by the computer (or CPU or MPU).

  Examples of the recording medium include a tape system such as a magnetic tape and a cassette tape, a magnetic disk such as a floppy (registered trademark) disk / hard disk, and an optical disk such as a CD-ROM / MO / MD / DVD / CD-R. Card system such as IC card, IC card (including memory card) / optical card, or semiconductor memory system such as mask ROM / EPROM / EEPROM / flash ROM.

  The production management device 2 may be configured to be connectable to a communication network, and the program code may be supplied via the communication network. The communication network is not particularly limited. For example, the Internet, intranet, extranet, LAN, ISDN, VAN, CATV communication network, virtual private network, telephone line network, mobile communication network, satellite communication. A net or the like is available. Also, the transmission medium constituting the communication network is not particularly limited. For example, even in the case of wired such as IEEE 1394, USB, power line carrier, cable TV line, telephone line, ADSL line, etc., infrared rays such as IrDA and remote control, Bluetooth ( (Registered trademark), 802.11 wireless, HDR, mobile phone network, satellite line, terrestrial digital network, and the like can also be used. The present invention can also be realized in the form of a computer data signal embedded in a carrier wave in which the program code is embodied by electronic transmission.

  The production management device according to the present invention can be applied not only to the manual production line but also to the management of the production progress status of the automatic production line.

It is a block diagram which shows the principal part structure of the production management apparatus which concerns on embodiment of this invention. (A)-(c) is a figure which shows the example of the work performance information recorded on a work performance recording part. It is a figure explaining the procedure when the monitoring simulation part of a production management apparatus derives the frequency | count of abnormality occurrence from the set of work time based on a temporary threshold value. It is a figure which shows the example of a display of the simulation result which a monitoring simulation part outputs. (A) is a figure which shows the example of the monitoring object information recorded on a monitoring threshold value recording part, (b) and (c) is a figure which shows the example of the monitoring threshold value recorded on a monitoring threshold value recording part. . It is a flowchart which shows the flow of a progress monitoring simulation process, the monitoring object specific process, and the monitoring threshold value setting process of a production management apparatus in this embodiment. It is a block diagram which shows the principal part structure of the production management apparatus which concerns on other embodiment of this invention. It is a figure which shows the example of a display of a temporary threshold value setting screen. (A) And (b) is a figure which shows the example of a display of the monitoring threshold value adjustment screen. It is a flowchart which shows the flow of the progress monitoring simulation process of the production management apparatus in another embodiment, the monitoring object specific process, and the monitoring threshold value setting process. It is a block diagram which shows the principal part structure of the production management apparatus which concerns on other embodiment of this invention. It is a figure which shows the example of a display of a warning output condition setting screen. It is a figure which shows the example of the alarm output conditions recorded on an alarm output condition recording part. It is a flowchart which shows the flow of a progress monitoring process and the abnormality alerting | reporting process of a production management apparatus in other embodiment. It is a flowchart which shows the flow of a progress monitoring process and the abnormality alerting | reporting process of a production management apparatus in other embodiment. It is a figure which shows the example of the in-process inventory information recorded on an in-process inventory recording part. It is a figure which shows the example of a hand-assembled production line.

Explanation of symbols

2 Production management device 3 Alarm device 4 Sensor 5 Product type input unit 11 Display unit (alarm device)
12 operation unit 13 work result acquisition unit 14 time supply unit 20 input / output control unit 21 simulation result display control unit (result output unit)
22 Setting screen display control unit 23 Alarm output control unit (alarm control means)
24 Operation accepting unit (condition change accepting means / monitoring condition change accepting means)
30 Production management control unit 31 Temporary threshold setting unit (condition setting means)
32 Monitoring simulation section (monitoring simulation means)
33 Monitoring target specifying part (monitoring target specifying means)
34 Monitoring threshold value setting unit (monitoring condition setting means)
35 Progress monitoring unit (progress monitoring means)
36 Alarm output condition management part (alarm output condition management means)
37 In-process inventory management unit 38 Temporary threshold adjustment unit (condition setting means)
39 Monitoring threshold adjustment unit (monitoring condition setting means)
40 recording unit 41 work result recording unit 42 temporary threshold recording unit 43 monitoring threshold recording unit 44 alarm output condition recording unit 45 in-process inventory recording unit 70 simulation result 80 temporary threshold setting screen 90 monitoring threshold adjustment screen

Claims (18)

In order to perform production progress management of a production line consisting of at least one production process, performance information related to the work progress of the object is recorded for each process, and work performance data including a plurality of the above performance information is acquired. In production management equipment to
Monitoring simulation means for counting each process as the number of abnormalities among the pieces of performance information included in the work performance data, which do not satisfy a predetermined condition,
A production management apparatus comprising: a result output means for outputting each abnormality number counted by the monitoring simulation means to the display unit as a simulation result.   The production process includes an actual work process in which an actual work is performed on an object in the production line, and a wait process in which the object is placed in a waiting state or a moving state before or after the actual work process. The production management apparatus according to claim 1, comprising at least one step among all the steps. The work performance data includes a plurality of pieces of work information related to work progress, recorded for each combination of process and object type,
3. The production management apparatus according to claim 1, wherein the monitoring / simulating means counts the number of items that do not satisfy the predetermined condition as the number of abnormalities for each process and each product type. Condition change accepting means for accepting a change instruction for the predetermined condition input by the user via the operation unit;
Condition setting means for changing the predetermined condition to a condition designated by the user,
4. The production management apparatus according to claim 1, wherein the monitoring simulation means counts the number of abnormalities in the performance information based on the changed condition. The predetermined condition is applied to a performance information group grouped for each process or a combination of a process and a product type, (1) a ratio of each performance information group to a reference value, and (2) each Deviation from the reference value of the performance information group, (3) how many positions are away from the performance information that is the reference value of each performance information group, and (4) each A first condition that specifies at least one of how many seconds away from the reference value of the performance information group;
The monitoring simulation means generates, based on the first condition, a second condition for designating an upper limit value and / or a lower limit value for each of the record information groups, and sets the number of record information that does not satisfy the second condition. The production management apparatus according to claim 4, wherein the number of abnormalities is counted for each result information group.   The production management apparatus according to claim 5, wherein the reference value is at least one of an average value, a median value, and a mode value of the record information of the record information group. A monitoring target that sets a process or a combination of a process and an object type specified as a progress monitoring target specified by the user or specified based on the simulation result output by the monitoring simulation means Specific means,
Monitoring condition setting means for setting, for each progress monitoring target, a monitoring condition for detecting an abnormality in the progress monitoring of the process based on the predetermined condition referred to by the monitoring simulation means;
Progress monitoring means for monitoring the production progress of the progress monitoring target set by the monitoring target specifying means, and detecting an abnormality of the progress monitoring target based on the monitoring conditions set by the monitoring condition setting means;
4. The apparatus according to claim 1, further comprising: an alarm control unit that controls the alarm device so as to notify the user that an abnormality has occurred when the progress monitoring unit detects an abnormality. The production management device according to item. Comprising monitoring condition change accepting means for accepting an instruction to change the monitoring condition input by the user via the operation unit;
The production management apparatus according to claim 7, wherein the monitoring condition setting unit changes the monitoring condition to a monitoring condition designated by a user. Monitoring condition change accepting means for accepting an instruction to change the monitoring condition and an instruction to specify the number of times of abnormality detection input by the user via the operation unit;
The monitoring condition setting means calculates a monitoring condition based on the specified number of abnormality detections so that the number of track record information that does not satisfy the monitoring condition is the same as the number of abnormality detections, and changes to the calculated monitoring condition. The production management apparatus according to claim 7, wherein: The performance information is further recorded for each worker who has performed work on the object.
The monitoring target specifying means sets the combination of the process and the worker, or the process, the type of the object, and the combination of the worker as the progress monitoring target for each worker,
The production management apparatus according to claim 7, wherein the monitoring condition setting unit sets the monitoring condition for each progress monitoring target for each worker. An alarm output condition management means for determining whether or not to report an abnormality that has occurred in the progress monitoring target, based on the number of times the progress monitoring means has detected an abnormality and an alarm output condition determined for each progress monitoring target; Prepared,
8. The production according to claim 7, wherein the alarm control unit controls the alarm device so as to notify the user that an abnormality has occurred when the alarm output condition management unit determines to notify the abnormality. Management device.   Recorded for each production process or each combination of production process and target product type, the performance information on the work progress of the target object is information on the time required for the production process for the target object. The production management apparatus according to any one of claims 1 to 3, further comprising:   Recorded information on the progress of work on the object, recorded for each combination of production process or production process and object type, includes information on the quantity of the object remaining in the waiting process. The production management device according to any one of claims 1 to 3, wherein The production management device according to any one of claims 1 to 13,
Either the production management device or a progress monitoring device that monitors a progress monitoring target set by the production management device and detects an abnormality of the progress monitoring target based on a monitoring condition set by the production management device A production management system comprising: an alarm device for notifying a user of the occurrence of an abnormality based on an instruction. A sensor for detecting the start and / or end of work in each production process;
A product type input unit for inputting the product type of the object to be input to the production line to the production management device;
The work performance data acquired by the production management device includes information on work time and / or dwell time related to work performed on the object calculated based on the detection signal acquired from the sensor, and each work time 15. The production management system according to claim 14, wherein each residence time is recorded for each process and for each kind acquired from the kind input unit. In order to perform production progress management of a production line consisting of at least one production process, performance information related to the work progress of the object is recorded for each process, and work performance data including a plurality of the above performance information is acquired. A first step to:
A second step of counting each of the processes as the number of abnormalities among the pieces of performance information included in the work performance data, which do not satisfy a predetermined condition;
And a third step of outputting each abnormality number counted in the second step to the display unit as a simulation result.   A control program for operating the production management apparatus according to any one of claims 1 to 13, wherein the control program causes a computer to function as each of the above means.   The computer-readable recording medium which recorded the control program of Claim 17.

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