JP6981061B2 - Production plan generation program, production plan generation method and production plan generation device - Google Patents

Description

The present invention relates to a production plan generation program, a production plan generation method, and a production plan generation device.

In the production line of a factory, the earlier the time when all the production plans assigned to each line in advance are completed, the more desirable from the viewpoint of cost and delivery date. Therefore, a technique has been proposed in which the processing time of each production device included in the production line is taken into consideration and the time when all the production plans are completed is optimized to be earlier.

Japanese Unexamined Patent Publication No. 8-1485

The completion time of the production plan is based on the premise that the production equipment operates normally, and at the actual production site, equipment errors occur and the workers' response work and the like occur. For this reason, assuming an error that occurs in each production device while a certain production target (printed circuit board, etc.) flows through the production line, the worker allocation is optimized in advance for all combinations of errors, and the completion time. It is preferable to prepare so as not to delay as much as possible. However, since the number of error combinations is enormous, it may take a lot of time to perform the worker allocation process for all the error combinations.

In one aspect, the present invention provides a production plan generation program, a production plan generation method, and a production plan generation device capable of pre-assigning workers to combinations of errors that require urgent error handling work. The purpose is to do.

In one embodiment, the production plan generation program extracts a plurality of combinations of errors that may occur while the production objects are sequentially processed in a plurality of production devices included in the production line, and the error is in the production line. With reference to the first storage unit that stores an index showing the magnitude of the influence on the production time for each production target, an index showing the magnitude of the influence that each of the extracted combinations of the errors has on the production time is calculated. Then, from the extracted combinations of the errors, the combination of errors whose calculated index satisfies the condition is specified, and the allocation of the worker corresponding to the error is determined for each combination of the identified errors, and the computer is made to execute the process. It is a production plan generation program for.

Workers can be assigned in advance to combinations of errors that require immediate error response work.

It is a figure which shows roughly the structure of the production system which concerns on one Embodiment. It is a figure which shows the production line. It is a figure which shows the hardware configuration of a server. It is a functional block diagram of a server. 5A is a diagram showing a worker DB, FIG. 5B is a diagram showing a production equipment table, and FIG. 5C is a diagram showing an allocation DB. It is a figure for demonstrating an error path. It is a flowchart (the 1) which shows the processing of a server. It is a flowchart (2) which shows the processing of a server. 9 (a) to 9 (c) are diagrams for explaining the process of FIG. 7.

Hereinafter, one embodiment of the production system will be described in detail with reference to FIGS. 1 to 9. FIG. 1 schematically shows the configuration of the production system 100 according to the embodiment.

As shown in FIG. 1, the production system 100 includes an in-factory system 60 provided in the factory, a server 70 as a production plan generation device connected to the in-factory system 60 via a network 80 such as the Internet, and the like. To prepare for.

One or more production lines as shown in FIG. 2 are provided in the factory. Each production line has, for example, a production device 1, a production device 2, ... A production device n, and produces a product by processing a production target (printed circuit board or the like) in order from the production device 1. In the factory, there are workers A, B, ... Who perform inspection and maintenance of production equipment and error handling work.

As shown in FIG. 1, the factory system 60 includes an error detection device 10 possessed by each production device, a position detection device 20 held by each worker, an instruction terminal 30 installed in the factory, and a transmission / reception device. 40 and. The error detection device 10, the position detection device 20, the instruction terminal 30, and the transmission / reception device 40 are connected to a network 45 such as a LAN (Local Area Network).

The error detection device 10 includes an error detection unit 11 and a transmission unit 12. When the error detection unit 11 detects an error in the production device, the error detection unit 11 notifies the transmission / reception device 40 of the error via the transmission unit 12.

The position detection device 20 includes a position detection unit 21 and a transmission unit 22. The position detection unit 21 is a beacon, a GPS (Global Positioning System) sensor, or the like, and when it detects the position of the worker, it notifies the transmission / reception device 40 of the position of the worker via the transmission unit 22. The position detection by the position detection device 20 is executed at predetermined time intervals. Instead of the position detecting device 20, a camera may be installed in the factory to detect the position of each worker based on the image taken by the camera, or the position of each worker may be detected by another method. The position may be detected.

The instruction terminal 30 is a device that displays an instruction sent from the server 70. Specifically, the instruction terminal 30 displays information on the worker who should execute the error handling work of the production apparatus in which the error has occurred. The instruction terminal 30 has a receiving unit 32 and a display unit 34. The receiving unit 32 receives the instruction sent from the server 70 and transmits it to the display unit 34. The display unit 34 displays the instruction transmitted from the reception unit 32 on the screen. The display unit 34 may output instructions by voice instead of the screen display or together with the screen display.

The transmission / reception device 40 transmits the data transmitted from the error detection device 10 and the position detection device 20 to the server 70 via the network 80. Further, the transmission / reception device 40 transmits information regarding the instruction transmitted from the server 70 to the instruction terminal 30.

The server 70 has an error path (a combination of errors that occur while one production target (printed board, etc.) is sent to the production line) that may occur in the production line at the timing before the production line starts one-day operation. From the inside, identify the error path that is likely to occur and has a large effect on the production time on the production line. Then, the server 70 determines a worker who should perform the error handling work included in the specified error path, and stores the determined information in the allocation DB 136. Further, when an error actually occurs in the production apparatus, the server 70 identifies a worker who should perform the error handling work based on the allocation DB 136, and transmits the error to the in-factory system 60 (instruction terminal 30). If the server 70 cannot identify the worker who should perform the error handling work based on the allocation DB 136, the error handling work of the production device in which the error has occurred is based on the data collected from the system 60 in the factory. The worker who should perform the above is determined and transmitted to the system 60 (instruction terminal 30) in the factory.

FIG. 3 schematically shows the hardware configuration of the server 70. As shown in FIG. 3, the server 70 includes a CPU (Central Processing Unit) 90, a ROM (Read Only Memory) 92, a RAM (Random Access Memory) 94, a storage unit (here, an HDD (Hard Disk Drive)) 96, and a network. It includes an interface 97, a drive 99 for a portable storage medium, a display unit 93, an input unit 95, and the like. Each component of the server 70 is connected to the bus 98. The display unit 93 is, for example, a liquid crystal display, and the input unit 95 is, for example, a keyboard, a mouse, a touch panel, or the like. In the server 70, the CPU 90 reads a program (including a production plan generation program) stored in the ROM 92 or the HDD 96, or a program (including a production plan generation program) read from the portable storage medium 91 by the portable storage medium drive 99. By executing, each function shown in FIG. 4 is realized. Note that FIG. 4 also shows a worker DB 132 stored in the HDD 96 or the like of the server 70, a production device table 134 as a first storage unit and a second storage unit, and an allocation DB 136.

FIG. 4 shows the functional blocks of the server 70. As shown in FIG. 4, the server 70 has an error path extraction unit 110 as an extraction unit, an index value calculation unit 112 as a calculation unit, a specific unit 114, and an allocation unit as a determination unit when the CPU 90 executes a program. It functions as 116, an error receiving unit 118, and a transmitting unit 120.

The error path extraction unit 110 identifies all possible error paths (which are expected to occur) based on the production apparatus table 134. Here, FIG. 5B shows an example of the data structure of the production apparatus table 134. It is assumed that the production equipment table 134 is prepared for each production target (printed circuit board, etc.) to be produced on the production line. The production equipment table 134 shown in FIG. 5B is a table relating to the production target A, and is a field of "production equipment", "device weight", "probability with error x", and "probability without error (1-x)". It also has a predetermined number of fields of "error name", "probability of occurrence", and "error weight". The "device weight" field is a device weight index value that is a large value when the device is a bottleneck device, that is, a device that has a large effect on the production time of the entire production line when an error occurs. Is stored. In the "Error weight" field, an error weight index value indicating the severity of each error is stored. It should be noted that the higher the importance of the error weight index value, the larger the value. According to FIG. 5B, the device weight index value of the production device 1 is W1, the probability that an error occurs in the production device 1 is xa, and the probability that an error α occurs is Pα and the error β. It is defined that the probability of occurrence is Pβ, the probability of occurrence of error γ is Pγ, and the probability of no error is 1-xa. Further, according to FIG. 5B, the error weight index value of the error α is defined as Wα, the error weight index value of the error β is Wβ, and the error weight index value of the error γ is Wγ. As described above, since the production device table 134 is prepared for each production target, if the production target is different, the device weight index value, the type of error to occur, the error occurrence probability, and the error weight index value are different. different. Each probability may be input in advance by the administrator or the like, or each probability may be changed based on the transition of the actual error occurrence rate.

When specifying the error path, the error path extraction unit 110 refers to the "error name" in the production device table 134 for each production target, and identifies an error that may occur in each production device. Then, all combinations (error paths) of errors that may occur in each production apparatus are specified. That is, as schematically shown in FIG. 6, errors (including no errors) of each production apparatus are selected one by one, and all combinations of errors are specified.

Further, the error path extraction unit 110 calculates the occurrence probability for all error paths. In this case, the error path extraction unit 110 calculates the product of the probability of occurrence of an error occurring in each production apparatus and the probability of no error occurring, and uses this as the probability of occurrence of each error path. For example, when the error of the production device 1 is α and the error of the production device 2 is δ, ..., The probability of occurrence is Pα × Pδ ×.

Then, the error path extraction unit 110 extracts the calculated error path occurrence probability is larger than a predetermined threshold value. This makes it possible to narrow down the error paths with a high probability of occurrence from all the error paths. It should be noted that the threshold value is not limited to the case of extracting an error path having a high occurrence probability, and for example, an error path having a high occurrence probability of a predetermined order or higher may be extracted from all the error paths.

The index value calculation unit 112 calculates an index value that determines the weight of the error path extracted by the error path extraction unit 110. Specifically, the index value calculation unit 112 identifies the production equipment in which the error is considered to occur in the extracted error path, reads out the equipment weight index value of the specified production equipment from the production equipment table 134, and totals them. The first index value is H ₁ . Further, the index value calculation unit 112 identifies an error that is considered to occur in the extracted error path, and totals the error weight index values of the specified error to obtain the second index value H ₂ .

Then, the index value calculation unit 112 refers to the index value U (hereinafter, “error path weight index value”” that determines the weight of the error path based on _{the calculated first index value H 1} and the second index value H _2. Call) is calculated. In this case, the error path weight index value U is, for example, a value obtained by multiplying the first index value H ₁ by a predetermined first coefficient k ₁ and the second index value H ₂ multiplied by a predetermined second coefficient k. _It can be the total value obtained by multiplying by _{2 (k 1} × H ₁ + k ₂ × H ₂ ).

The specifying unit 114 identifies the error path to which the worker is assigned from the error paths extracted by the error path extracting unit 110 based on the error path weight index value calculated by the index value calculating unit 112. In this case, the specifying unit 114 specifies, for example, an error path whose index value is equal to or greater than a predetermined threshold value as an error path to which an operator is assigned. However, the present invention is not limited to this, and the specifying unit 114 may specify an error path in which the index value is included in the upper predetermined order among all the error paths as the error path to which the worker is assigned.

The allocation unit 116 refers to the worker DB 132 and allocates a worker for each error path specified by the specific unit 114.

Here, the worker DB 132 has a data structure as shown in FIG. 5A. Specifically, the worker DB 132 includes "worker", "fixed position", "walking speed", "device in charge", "working time 1", "working time 2", "working time 3", ... Each field has. The worker's identification information is stored in the "worker" field, and the worker's fixed position information is stored in the "fixed position" field. The fixed position of the worker is a position where the worker frequently exists, and may be determined based on the transition of the position information of the worker, or may be registered in advance by the administrator or the like. The average walking speed for each worker is stored in the "walking speed" field. The average walking speed may be calculated based on the transition of the position information acquired while the worker is moving, or may be a value registered in advance by the administrator or the like, or the work may be performed. It may be a value automatically calculated based on the height, gender, age, etc. of the person. The average walking speed may be updated at predetermined intervals. In the field of "device in charge", identification information of a production device capable of each worker to perform work is stored. For example, in FIG. 5A, it is shown that the worker A can perform the error handling work of the production devices 1, 2, and 3. Here, the information declared by each worker may be stored in the field of "device in charge", or stays in front of the production device for a predetermined time or longer based on the history of the position information of each worker. The worker may be specified, and the specified worker may be defined as a worker who can perform error handling work of the production apparatus. The "working time 1", "working time 2", "working time 3", and the like store the time required for the error handling work of the production device stored in the field of the "in charge device". From FIG. 5A, for example, the worker A requires an average of 38 [min] for the error handling work of the production device 1 and an average of 26 [min] for the error handling work of the production device 2. It can be seen that an average of 22 [min] is required for the error handling work of the device 3. Here, the information declared by each worker may be stored in the fields such as "working time 1" and "working time 2". Further, the time that each worker stayed in front of each production apparatus may be calculated based on the history of the position information of each worker, and the calculated time may be stored as the working time. In the worker DB 132, the time required for the error handling work may be stored for each type of error in each production apparatus.

The allocation unit 116 stores the allocation result of the worker in the allocation DB 136 (see FIG. 5C). Here, as shown in FIG. 5C, the allocation DB 136 stores the production target of each error path and the error information of each production device in each error path, and is allocated to the error handling work. The information of the worker is stored.

Returning to FIG. 4, when the error is detected in the error detection unit 11 of the error detection device 10 and the error information is transmitted via the transmission / reception device 40, the error reception unit 118 receives the error information and receives the error information. Notify the transmitter 120.

When the transmission unit 120 receives the error information from the error reception unit 118, the transmission unit 120 refers to the allocation DB 136 and extracts an error path that matches the combination of the errors that have occurred. Then, the transmission unit 120 transmits (outputs) the information of the worker assigned to the error that has occurred to the system 60 (instruction terminal 30) in the factory. In addition, there is a case where the information of the error path matching the combination of the generated errors does not exist in the allocation DB 136. In such a case, the transmission unit 120 notifies the allocation unit 116 to that effect. Upon receiving the notification, the allocation unit 116 determines a worker who executes the work corresponding to the error that has occurred based on the information of the error that has occurred and the information of the worker DB 132, and the information of the determined worker is transmitted. Send to 120. The transmission unit 120 transmits the worker information received from the allocation unit 116 to the instruction terminal 30.

(About processing)
Hereinafter, the processing of the server 70 will be described in detail. FIG. 7 shows a flowchart of the process executed by the server 70 at the timing before the production line starts the operation of the day, and FIG. 8 shows the server 70 while the production line is in operation. A flowchart of the process to be executed is shown.

(About the processing in Fig. 7)
In the process of FIG. 7, first, in step S10, the error path extraction unit 110 identifies all error paths for each production target based on the error names in the production apparatus table 134, and calculates the probability of occurrence. FIG. 9A is a simplified table showing the specified error paths and the probability of occurrence of each error path.

Next, in step S12, the error path extraction unit 110 extracts an error path having an occurrence probability equal to or higher than a predetermined threshold value. That is, the occurrence probabilities Va, Vb, ... Of each error path are compared with the threshold value (VT), and an error path indicating that the occurrence probability is equal to or higher than the threshold value (VT) is extracted. FIG. 9B shows an example of the error path extracted in step S12.

Next, in step S14, the index value calculation unit 112 calculates the extracted error path weight index value. In this case, as described above, the index value calculation unit 112 calculates the total of the device weight index values (first index value H ₁ ) of the production equipment in which the error is said to occur in the error path of FIG. 9 (b). In addition to the calculation, the total of the error weight index values (second index value H ₂ ) of the errors that are supposed to occur in the extracted error path is calculated. Then, the index value calculation unit 112 calculates the error path weight index value U from _{the first index value H 1} and the second index value H _2. In the bottom line of FIG. 9B, error path weight index values Ua, Ub, ... Of each error path are shown.

Next, in step S16, the specifying unit 114 identifies an error path in the error path of FIG. 9B in which the error path weight index values Ua, Ub, ... Are equal to or higher than a predetermined threshold value (UT). .. FIG. 9C shows an example of the error path identified as a result of step S16.

Next, in step S18, the allocation unit 116 selects one of the unselected error paths among the error paths specified in step S16. For example, the allocation unit 116 shall select the error path a in FIG. 9 (c).

Next, in step S20, the allocation unit 116 reads data from the worker DB 132.

Next, in step S22, the allocation unit 116 allocates a worker to the production apparatus in which the error is supposed to occur in the selected error path. Specifically, the allocation unit 116 identifies one worker who can be in charge of the error handling work of the production device in which the error is said to occur, based on the "device in charge" of the worker DB 132.

Next, in step S24, the allocation unit 116 calculates the production completion time. Specifically, the allocation unit 116 reads the information at the fixed position of the specified worker from the worker DB 132. Then, the allocation unit 116 calculates the distance (distance) L [m] between each worker and the production apparatus that performs the error handling work. When calculating the distance, the shortest distance between the worker and the production equipment in which the error occurred may be calculated based on the layout information (passage information, etc.) in the factory. Further, the allocation unit 116 works on the walking speed a [m / min] when each worker heads to the production device for performing the error handling work, and the work time (b [min]) required for the error handling work of the production device. The time required for movement (L / a [min]), the work time of each worker (b [min]), and the time until the worker starts the movement (worker is in front) acquired from the person DB 132. The total time of (c [min]) and the time required to complete the work is defined as the time required for the error handling work. When the worker assigned to the error handling work is a worker who has not performed the error handling work of another production apparatus, c [min] becomes 0 [min]. Then, the allocation unit 116 obtains the production completion time by adding the time required for the error handling work to the original scheduled production completion time.

Next, in step S26, the allocation unit 116 determines whether or not the production completion time is within a predetermined range. If the determination in step S26 is denied, the process returns to step S22 and the processes of steps S22 to S26 are repeated. In this case, the processes of steps S22 to S26 are repeated while fine-tuning the workers who execute the error handling work (for example, changing the workers one by one). Then, if the determination in step S26 is affirmed, the process proceeds to step S28. If the determination in step S26 is not affirmed even after repeating steps S22 to S26 a predetermined number of times, the process related to the error path may be terminated and the process may proceed to step S28. Alternatively, the allocation that takes the shortest time for error handling work may be treated as the worker allocation in the error path.

When the determination in step S26 is affirmed and the process proceeds to step S28, the allocation unit 116 stores the worker allocation information obtained by the iterative processing of steps S22 to S26 in the allocation DB 136 (see FIG. 5C).

Next, in step S30, the allocation unit 116 determines whether or not all error paths have been selected. If the determination in step S30 is denied, the process returns to step S18 and the processes after step S18 are repeatedly executed. On the other hand, if the determination in step S30 is affirmed, the entire process of FIG. 7 is terminated. When all the processing of FIG. 7 is completed, the worker allocation information for the error path of FIG. 9 (c) is stored in the allocation DB 136 of FIG. 5 (c).

(About the processing in Fig. 8)
Next, the process of FIG. 8 will be described in detail.

In the process of FIG. 8, first, in step S100, the transmission unit 120 determines whether or not an error has occurred. In this case, it is determined in step S100 that the error receiving unit 118 receives the error information detected by the error detecting device 10 of the production device, and the error receiving unit 118 transmits the error information to the transmitting unit 120. Is affirmed. If the determination in step S100 is denied, the process of step S100 is repeatedly executed, but if it is affirmed, the process proceeds to step S102.

When the process proceeds to step S102, the transmission unit 120 refers to the allocation DB 136 and determines whether or not an error path matching the combination of the generated errors exists in the allocation DB 136. If the determination in step S102 is affirmed, the process proceeds to step S104.

When the process proceeds to step S104, the transmission unit 120 acquires the information of the worker assigned to the error path matching the combination of the generated errors from the allocation DB 136, and outputs the information to the instruction terminal 30. The instruction terminal 30 outputs (displays, etc.) information on the worker who should perform the error handling work. As a result, each worker can confirm which worker should perform the error handling work.

On the other hand, if the determination in step S102 is denied, the process proceeds to step S106, the transmission unit 120 issues an instruction to the allocation unit 116, and an error occurs based on the position information of the worker and the information of the worker DB 132. The worker to be assigned to the corresponding work is specified, and the specified result is output to the instruction terminal 30. In this case, for example, the allocation unit 116 acquires the current position of the worker from the position detection device 20, and information on the "walking speed", the "device in charge", and the "working time" stored in the worker DB 132. Based on the above, the worker to be assigned to the error handling work is specified in the same manner as in steps S22 to S26.

When the processing of step S104 or step S106 is completed, all the processing of FIG. 8 is completed, but even after the processing is completed, the processing of FIG. 8 is repeatedly executed.

As described in detail above, according to the present embodiment, the error path extraction unit 110 determines an error path that may occur while the production target is sequentially processed in a plurality of production devices included in the production line. After a plurality of extractions (S12), the index value calculation unit 112 calculates an index value (error path weight index value) indicating the magnitude of the influence of each of the extracted error paths on the production time with reference to the production apparatus table 134. (S14). Then, the identification unit 114 identifies an error path that affects the production time from the extracted error paths based on the calculated index value (S16), and the allocation unit 116 performs error handling work for each specified error path. (S18 to S26). As a result, in the present embodiment, it is possible to optimize in advance the allocation of workers for a combination of errors that requires immediate error handling work. As a result, when an error that should be dealt with immediately occurs in the production apparatus, it is possible to give an immediate action instruction to the worker. Further, in the present embodiment, since the production apparatus table 134 is prepared for each production target, it is possible to specify an appropriate error path as an error path for allocating workers for each production target.

Further, according to the present embodiment, the error path extraction unit 110 identifies all the error paths that may occur (S10, FIG. 9A), and refers to the production apparatus table 134 for each error path. (S10, FIG. 9 (a)), and based on the calculated probability of occurrence, a plurality of error paths that are likely to occur are extracted from the specified error paths (S12, FIG. 9 (b)). As described above, in the present embodiment, the error paths that are likely to occur and have a large influence on the production time are extracted to determine the worker allocation. Therefore, the workers for all the specified error paths are determined. Compared with the case of deciding the allocation, it is possible to improve the efficiency of the worker allocation work.

Further, in the present embodiment, the error path weight index value is an index value (first index) in which the greater the combination of errors that causes an error in the production device that becomes a bottleneck in the production line, the greater the influence on the production time. Value) is included. As a result, it is possible to specify an error path to which a worker should be assigned in advance in consideration of whether or not an error has occurred in the bottleneck production apparatus.

Further, in the present embodiment, the error path weight index value includes an index value (second index value) based on the type of error included in the error path. Therefore, it is possible to specify the error path to which the worker should be assigned in advance in consideration of the type of error that occurs.

Further, the allocation unit 116 includes data on the work capacity of the worker (information on the “device in charge” and “working time” of the worker DB 132) and the time required for the worker to move to the production device (worker DB 132). The worker allocation is determined based on the time obtained from the "walking speed"). Therefore, the worker allocation can be appropriately determined based on the worker's work ability and mobility.

In the above embodiment, after extracting an error path whose occurrence probability is equal to or greater than the threshold value based on the error path occurrence probability (S10, S12), an error whose error path weight index value is equal to or greater than the threshold value among the extracted error paths. The case of specifying the path (S14, S16) has been described. However, the present invention is not limited to this, and after identifying an error path whose error path weight index value is equal to or greater than the threshold value, an error path whose occurrence probability is equal to or greater than the threshold value may be extracted from the specified error path. In the above embodiment, steps S10 and S12 may be omitted. That is, an error path whose error path weight index value is equal to or greater than the threshold value may be specified from all the error paths, and the worker may be assigned to the specified error path.

Further, in the above embodiment, the case where the occurrence probability and the error path weight index value are handled separately has been described, but the present invention is not limited to this, and the index value in which the occurrence probability and the error path weight index value are combined, for example, the occurrence probability The error path to which the worker is assigned may be extracted based on the total value of the value obtained by multiplying the value obtained by multiplying the predetermined coefficient and the value obtained by multiplying the error path weight index value by the predetermined coefficient.

In the above embodiment, the case where the error path weight index value is an index value obtained from the first index value and the second index value has been described, but the present invention is not limited to this, and the error path weight index value is the first. It may be the index value itself of the above, or it may be the second index value itself.

In the above embodiment, the case where the server 70 exists outside the factory has been described, but the present invention is not limited to this, and the server 70 may be provided in the factory (inside the system 60 in the factory).

The above processing function can be realized by a computer. In that case, a program that describes the processing content of the function that the processing device should have is provided. By executing the program on a computer, the above processing function is realized on the computer. The program describing the processing content can be recorded on a computer-readable recording medium (however, the carrier wave is excluded).

When a program is distributed, it is sold in the form of a portable recording medium such as a DVD (Digital Versatile Disc) or a CD-ROM (Compact Disc Read Only Memory) on which the program is recorded. It is also possible to store the program in the storage device of the server computer and transfer the program from the server computer to another computer via the network.

The computer that executes the program stores, for example, the program recorded on the portable recording medium or the program transferred from the server computer in its own storage device. Then, the computer reads the program from its own storage device and executes the processing according to the program. The computer can also read the program directly from the portable recording medium and execute the processing according to the program. In addition, the computer can sequentially execute processing according to the received program each time the program is transferred from the server computer.

The embodiments described above are examples of preferred embodiments of the present invention. However, the present invention is not limited to this, and various modifications can be made without departing from the gist of the present invention.

The following additional notes will be further disclosed with respect to the description of the above embodiments.
(Appendix 1) Multiple combinations of errors that occur while the production targets are sequentially processed in multiple production devices included in the production line are extracted.
With reference to the first storage unit that stores an index indicating the magnitude of the influence of the error on the production time of the production line for each production target, the magnitude of the influence of each of the extracted combinations of the errors on the production time. Calculate the index showing the
From the extracted error combinations, the error combinations whose calculated index satisfies the first condition are identified.
A production planning generator for letting a computer execute a process that determines the assignment of workers corresponding to an error for each combination of identified errors.
(Appendix 2) In the extraction process,
Identify all possible error combinations and
With reference to the second storage unit that stores the error occurrence probability for each production target, the error occurrence probability for each combination is calculated.
The production plan generation program according to Appendix 1, wherein a plurality of combinations of errors whose generated probability satisfies the second condition are extracted from the specified combinations of errors.
(Appendix 3) The index is characterized by including an index indicating that the combination of errors that causes an error in the production equipment that becomes a bottleneck in the production line has a greater influence on the production time. The production plan generation program described in 2.
(Supplementary Note 4) The production plan generation program according to any one of Supplementary notes 1 to 3, wherein the index includes an index based on the type of error included in the combination of errors.
(Appendix 5) In the process of determining the allocation, the allocation of the worker is determined based on the data regarding the work capacity of the worker and the time required for the worker to move to the production apparatus. The production plan generation program according to any one of Supplementary notes 1 to 4, wherein the production plan is generated.
(Appendix 6) Multiple combinations of errors that occur while the production targets are sequentially processed in multiple production devices included in the production line are extracted.
With reference to the first storage unit that stores an index indicating the magnitude of the influence of the error on the production time of the production line for each production target, the magnitude of the influence of each of the extracted combinations of the errors on the production time. Calculate the index showing
From the extracted error combinations, the error combinations whose calculated index satisfies the first condition are identified.
A production planning generation method characterized by a computer performing a process that determines the assignment of workers corresponding to an error for each combination of identified errors.
(Appendix 7) An extraction unit that extracts a plurality of combinations of errors that occur while the production targets are sequentially processed in a plurality of production devices included in the production line.
With reference to the first storage unit that stores an index indicating the magnitude of the influence of the error on the production time of the production line for each production target, each combination of the errors extracted by the extraction unit gives the production time. A calculation unit that calculates an index showing the magnitude of the effect,
From the combination of the errors extracted by the extraction unit, the specific unit that specifies the combination of the errors whose index calculated by the calculation unit satisfies the first condition, and
For each combination of errors specified by the specific unit, a determination unit that determines the allocation of workers corresponding to the error, and a determination unit.
Production planning generator equipped with.
(Appendix 8) The extraction unit is
Identify all possible error combinations and
With reference to the second storage unit that stores the error occurrence probability for each production target, the error occurrence probability for each combination is calculated.
The production plan generation device according to Appendix 7, wherein a plurality of combinations of errors that are likely to occur are extracted from the specified combinations of errors based on the calculated probability of occurrence.
(Appendix 9) The index 7 or the index is characterized in that the combination of errors that causes an error in the production apparatus that becomes a bottleneck in the production line includes an index having a greater influence on the production time. 8. The production plan generator according to 8.
(Supplementary Note 10) The production plan generator according to any one of Supplementary note 7 to 9, wherein the index includes an index based on the type of error included in the combination of errors.
(Appendix 11) The determination unit is characterized in that the allocation of the worker is determined based on the data regarding the work ability of the worker and the time required for the worker to move to the production apparatus. The production plan generator according to any one of Supplementary note 7 to 10.

70 server (production plan generator)
110 Error path extraction unit (extraction unit)
112 Index value calculation unit (calculation unit)
114 Specific part 116 Assignment part (decision part)
134 Production equipment table (1st storage unit, 2nd storage unit)

Claims (8)

Extract multiple combinations of errors that may occur while the production targets are being processed sequentially in multiple production equipment included in the production line.
With reference to the first storage unit that stores an index indicating the magnitude of the influence of the error on the production time of the production line for each production target, the magnitude of the influence of each of the extracted combinations of the errors on the production time. Calculate the index showing the
From the extracted error combinations, the error combinations whose calculated index satisfies the first condition are identified.
A production planning generator for letting a computer execute a process that determines the assignment of workers corresponding to an error for each combination of identified errors. In the extraction process,
Identify all possible error combinations and
With reference to the second storage unit that stores the error occurrence probability for each production target, the error occurrence probability for each combination is calculated.
The production plan generation program according to claim 1, wherein a plurality of combinations of errors whose generated probability satisfies the second condition are extracted from the specified combinations of errors. The index according to claim 1 or 2, wherein the index includes an index indicating that the combination of errors that causes an error in the production apparatus that becomes a bottleneck in the production line has a greater influence on the production time. Production plan generation program. The production plan generation program according to any one of claims 1 to 3, wherein the index includes an index based on the type of error included in the combination of errors. The process of determining the allocation is characterized in that the allocation of the worker is determined based on the data regarding the work capacity of the worker and the time required for the worker to move to the production apparatus. The production plan generation program according to any one of claims 1 to 4. Extract multiple combinations of errors that may occur while the production targets are being processed sequentially in multiple production equipment included in the production line.
With reference to the first storage unit that stores an index indicating the magnitude of the influence of the error on the production time of the production line for each production target, the magnitude of the influence of each of the extracted combinations of the errors on the production time. Calculate the index showing
From the extracted error combinations, the error combinations whose calculated index satisfies the first condition are identified.
A production planning generation method characterized by a computer performing a process that determines the assignment of workers corresponding to an error for each combination of identified errors. An extraction unit that extracts multiple combinations of errors that may occur while the production targets are sequentially processed in multiple production devices included in the production line.
With reference to the first storage unit that stores an index indicating the magnitude of the influence of the error on the production time of the production line for each production target, each combination of the errors extracted by the extraction unit gives the production time. A calculation unit that calculates an index showing the magnitude of the effect,
From the combination of the errors extracted by the extraction unit, the specific unit that specifies the combination of the errors whose index calculated by the calculation unit satisfies the first condition, and
For each combination of errors specified by the specific unit, a determination unit that determines the allocation of workers corresponding to the error, and a determination unit.
Production planning generator equipped with. Multiple combinations of errors that occur while the production targets are sequentially processed in multiple production equipment included in the production line are extracted.
With reference to the first storage unit that stores an index indicating the magnitude of the influence of the error on the production time of the production line for each production target, the magnitude of the influence of each of the extracted combinations of the errors on the production time. Calculate the index showing
From the extracted error combinations, the error combinations whose calculated index satisfies the first condition are identified.
For each combination of identified errors, determine the worker assignment for the error and
After determining the allocation, if an error occurs in the production line, the workers assigned to the combination of the errors that have occurred are extracted.
Outputs the extracted information indicating the worker,
A production plan generation method characterized by a computer performing processing.

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