Manufacturing plan making method, manufacturing plan making system, program, and information terminal

Abstract

Provided are a manufacturing plan making method, a manufacturing plan making system, a program, and an information terminal with which it is possible to improve the realizability of a manufacturing plan. The manufacturing plan making method is executed by an arithmetic circuit in order to make a manufacturing plan of a product manufactured by a manufacturing process in which a plurality of execution subjects perform work in order, and in this manufacturing plan making method, a first index value indicating the degree of replacement of the plurality of execution subjects during a first period is determined (S12), and a second index value indicating the degree of replacement of the plurality of execution subjects during a second period is determined (S13). On the basis of the first index value, a change in the degree of proficiency of the plurality of execution subjects from the start of the first period is determined (S14), and on the basis of the change in the degree of proficiency, a product manufacturing plan for the first period is output (S16).

Description

TECHNICAL FIELD

[0001] The present disclosure relates to a manufacturing plan making method, a manufacturing plan making system, a program, and an information terminal. BACKGROUND

[0002] Patent Literature 1 provides a method of estimating a production tempo per work process corresponding to a product to be assembled and manufactured, taking into account a work element common among product varieties. In Patent Literature 1, according to actual performance data of a work process performed in an assembly line to be handled by a plurality of workers, the work process is divided into work elements, a work element proficiency curve for calculating a work time corresponding to each work element is prepared in advance for each worker, when a product to be assembled and manufactured is selected and workers to handle the process are grouped in the assembly line, for the workers of the work process, a work time at a predetermined cumulative work number of times is calculated from the work element proficiency curve, the calculated work times are counted for each product, and further, a given operation is performed based on the counted times, thereby calculating a production tempo per work process corresponding to the product to be assembled and manufactured.

[0003] PRIOR ART DOCUMENTS

[0004] PATENT LITERATURE

[0005] Patent Literature 1: Japanese Patent No. 4655494 SUMMARY

[0006] PROBLEMS TO BE SOLVED BY THE INVENTION

[0007] In a manufacturing site such as a factory, there are processes in which work is performed manually, such as product manufacturing. In particular, in a line production system, a plurality of workers fixedly perform work for one manufacturing line. In such a case, when work of one worker is delayed, work of other workers is also delayed. Workers of a manufacturing line are not necessarily limited to regular employees of a manufacturer of a product, and there are cases where dispatched employees and part-time workers are included. In a case where dispatched employees and part-time workers are included in workers of a manufacturing line, replacement of workers occurs easily at fixed periods (for example, one month). In a case where a worker is a novice who has not performed work, an education period is provided, but of course, the worker is not accustomed to the work, and thus delay of work easily occurs. Therefore, in a case where a worker is replaced, such a proficiency loss occurs until the replaced worker becomes proficient in work of the manufacturing line.

[0008] In the technology described in Patent Literature 1, a work element proficiency curve is prepared for each worker in advance, and thus the production tempo (required time) of the work process corresponding to the product to be assembled and manufactured can be calculated. However, in a case where an inexperienced worker who has not performed the work is newly added to the work, the work element proficiency curve cannot be prepared in advance, and the required time of the work process cannot be correctly calculated. Even if a manufacturing plan is set based on the required time of the work process, it easily becomes a mode with low realizability.

[0009] The present disclosure provides a manufacturing plan making method, a manufacturing plan making system, a program, and an information terminal capable of improving the realizability of a manufacturing plan.

[0010] Means for solving the problem

[0011] A manufacturing plan making method according to an embodiment of the present disclosure is executed by an arithmetic circuit in order to make a manufacturing plan of a product manufactured by a plurality of execution subjects sequentially performing work processes, and in the manufacturing plan making method, a first index value indicating a degree of replacement of the plurality of execution subjects in a first period is determined, a change in proficiency of the plurality of execution subjects from a start of the first period is determined based on the first index value, and a manufacturing plan of the product in the first period is output based on the change in proficiency.

[0012] A manufacturing plan making system according to an embodiment of the present disclosure is a manufacturing plan making system for making a manufacturing plan of a product manufactured by a plurality of execution subjects sequentially performing work processes, and the manufacturing plan making system includes a first arithmetic circuit. The first arithmetic circuit determines a first index value indicating a degree of replacement of the plurality of execution subjects in a first period, determines a change in proficiency of the plurality of execution subjects from a start of the first period based on the first index value, and outputs a manufacturing plan of the product in the first period based on the change in proficiency.

[0013] A program according to an embodiment of the present disclosure is a program for causing an arithmetic circuit to execute the above-described manufacturing plan making method.

[0014] An information terminal according to an embodiment of the present disclosure is an information terminal communicably connected to the above-described manufacturing plan making system, and the information terminal includes an input device, an output device, a communication device, and a second arithmetic circuit that controls the input device, the output device, and the communication device. The second arithmetic circuit receives input of a first index value through the input device, transmits the first index value to the manufacturing plan making system and receives a manufacturing plan from the manufacturing plan making system through the communication device, and prompts the manufacturing plan through the output device.

[0015] Effects of the Invention

[0016] This disclosure method can improve the feasibility of manufacturing plans. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of a manufacturing system according to one embodiment.

[0018] Figure 2 This is a schematic diagram of the manufacturing facility of the manufacturing system of the above-described embodiment.

[0019] Figure 3 This is a block diagram of the manufacturing planning system of the manufacturing system described above.

[0020] Figure 4 This is a block diagram of the information terminal of the manufacturing system according to the above embodiments.

[0021] Figure 5 This is a flowchart of a manufacturing planning method based on a manufacturing planning system.

[0022] Figure 6 It is a chart showing time series data for the required time period.

[0023] Figure 7 This is the first chart showing the change in proficiency.

[0024] Figure 8 This is the second example of a chart showing the change in proficiency.

[0025] Figure 9 It is a bar chart showing the number of units manufactured per unit period based on the manufacturing plan.

[0026] Figure 10 It is a bar chart showing the operation time per unit period based on the manufacturing plan. Detailed Implementation

[0027] [1. Implementation Method]

[0028] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings, as appropriate. However, the following embodiments are illustrative of the present disclosure and are not intended to limit the present disclosure to the following (e.g., the shape, size, arrangement, etc. of each component). Unless otherwise specified, positional relationships such as up, down, left, and right are considered to be based on the positional relationships shown in the accompanying drawings. The drawings described in the following embodiments are schematic, and the size and thickness ratios of each component in each drawing may not reflect the actual size ratios. In addition, the size ratios of each component are not limited to the ratios shown in the accompanying drawings.

[0029] Furthermore, in the following explanation, when it is necessary to distinguish multiple constituent elements from each other, prefixes such as "first", "second", etc. will be added to the name of the constituent element. However, when the constituent elements can be distinguished from each other by the figure labels, prefixes such as "first", "second", etc. will sometimes be omitted for the sake of readability.

[0030] Furthermore, in the following explanation, when it is necessary to distinguish multiple constituent elements from each other, suffixes such as "-1" and "-2" will be marked in the figure reference of the constituent element. However, when it is not necessary to distinguish multiple constituent elements, suffixes such as "-1" and "-2" will sometimes be omitted for the sake of readability.

[0031] [1.1 Structure]

[0032] Figure 1 This is a schematic diagram of the manufacturing system 1 according to this embodiment. Manufacturing system 1 is used to systematically manufacture products. Products are manufactured from raw materials through multiple processes. Products are not particularly limited and can include various items such as food, medicine, electrical products, jewelry, furniture, and vehicles. Products are not limited to finished products and can also be components. As an example of a finished product, a car is listed; as an example of a component, basic components of a car (pistons, etc.) are listed.

[0033] Manufacturing system 1 includes manufacturing facilities 2, manufacturing planning system 3, and information terminals 4. Manufacturing planning system 3 and information terminals 4 constitute an information processing device.

[0034] Manufacturing facility 2 is the facility that actually manufactures the product (e.g., a factory). Manufacturing facility 2 has manufacturing line 20 for manufacturing products through line production. Manufacturing line 20 can include one or more manufacturing equipment capable of manufacturing based on various manufacturing technologies. Examples of manufacturing technologies include: additive manufacturing technologies (material extrusion, vat photopolymerization, material spraying, binder spraying, powder bed fusion bonding, sheet lamination, directional energy deposition, etc.), subtractive manufacturing technologies (machining, grinding, electrical discharge machining, casting, die casting, stamping, forging, sheet metal processing, etc.), forming manufacturing technologies (injection molding, extrusion molding, etc.), surface treatment technologies (coating, painting, plating, grinding, etc.), heat treatment technologies (sintering, cooling, etc.), bonding technologies (ultrasonic bonding, thermal bonding, mechanical bonding, adhesive bonding, etc.), and assembly technologies (component assembly, micro-transfer (imprinting), impregnation, etc.). Manufacturing line 20 is not limited to manufacturing equipment and can also include measuring equipment, inspection equipment, and handling equipment. As an example of manufacturing facility 2, in addition to factories, shops and buildings (the entire building or within a floor) are also listed.

[0035] Figure 2 This is a schematic diagram of manufacturing line 20. Manufacturing line 20 is a manufacturing process in which multiple execution entities 21-1 to 21-N (N is any integer) perform operations sequentially. Through the sequential operation of multiple execution entities 21-1 to 21-N, the finished product M3 is obtained from the raw material M1 of the product via one or more semi-finished products M2. Execution entity 21 is, for example, an operator (human). As long as the concept of skill is appropriate, execution entity 21 is not limited to a human. That is, as long as the speed of completing the work is increased through repetition of the same operation, it can also be a device using machine learning, not a human. The device using machine learning can be a robot or other operational equipment. Therefore, manufacturing line 20 can be an automated manufacturing line utilizing robots or the like.

[0036] The manufacturing planning system 3 is used to develop a manufacturing plan for a product that is manufactured by a series of manufacturing processes performed sequentially by multiple executing entities 21. Figure 3 This is a block diagram of a manufacturing planning system 3. The manufacturing planning system 3 includes: a first input device 31, a first output device 32, a first communication device 33, a first storage device 34, and a first arithmetic circuit 35. The manufacturing planning system 3 can be implemented, for example, through one or more servers.

[0037] The first input device 31 has one or more human-machine interfaces for information input. Examples of human-machine interfaces include keyboards, pointing devices (mouse, trackball, etc.), touchpads, and position input devices for touch panel displays. The one or more human-machine interfaces of the first input device 31 can be built into the manufacturing planning system 3 or externally connected to the manufacturing planning system 3. That is, the first input device 31 can include the human-machine interface of the manufacturing planning system 3 itself, as well as the human-machine interface connected to the manufacturing planning system 3.

[0038] The first output device 32 has one or more human-machine interfaces for information output. Examples of human-machine interfaces include display devices such as monitors, speakers, and touch panel displays. The one or more human-machine interfaces of the first output device 32 can be built into the manufacturing planning system 3 or externally connected to the manufacturing planning system 3. That is, the first output device 32 can include the human-machine interface of the manufacturing planning system 3 itself, as well as the human-machine interface connected to the manufacturing planning system 3.

[0039] The first communication device 33 is used for communication via a communication network. The first communication device 33 has one or more communication interfaces. The first communication device 33 can connect to a communication network and has the function of communicating via the communication network. The first communication device 33 operates according to a given communication protocol. The given communication protocol can be selected from various known wired and wireless communication standards.

[0040] The first storage device 34 includes one or more storage devices (non-transitory storage media). These storage devices can be, for example, any of a hard disk drive, an optical drive, or a solid-state drive (SSD). Furthermore, the storage devices can be internal, external, or network-attached storage (NAS).

[0041] The information stored in the first storage device 34 includes the manufacturing performance database DB1 and the manufacturing plan D1. The manufacturing performance database DB1 and the manufacturing plan D1 do not need to be stored in the first storage device 34 all the time, but only when needed by the first arithmetic circuit 35.

[0042] Manufacturing plan D1 is a manufacturing plan for products manufactured by manufacturing processes performed sequentially by multiple executing entities 21. In this embodiment, manufacturing plan D1 is a plan for manufacturing a target quantity of products in the first period. Details regarding manufacturing plan D1 will be described later.

[0043] The Manufacturing Performance Database DB1 is used for the formulation of Manufacturing Plan D1. The Manufacturing Performance Database DB1 contains various information related to the manufacturing of products in Manufacturing Facility 2. The Manufacturing Performance Database DB1 contains multiple manufacturing performance data sets. For example, the Manufacturing Performance Database DB1 contains multiple different manufacturing performance data sets for each manufacturing line 20 of Manufacturing Facility 2 for a given second period. Each manufacturing performance data set is configured to include, with respect to the corresponding second period: time-series data of the actual number of products manufactured, time-series data of the target number of products manufactured, time-series data of the actual operation time, time-series data of the target operation time, required time data indicating changes in required time, and a second indicator value. The second period begins with the replacement of multiple execution entities 21. Therefore, the required time data indicates the change in the required time of the manufacturing process from the replacement of multiple execution entities 21. Required time is the time required to complete a manufacturing process, and is the time from the start to the end of the manufacturing process. Required time is sometimes referred to as cycle time, takt time, or production takt time. In this embodiment, the change in required time is the change in required time relative to elapsed time. During the second period, it is assumed that no replacement of multiple execution entities 21 is performed. The second period is, for example, one month, from the first day to the last day of the target month. The second indicator value corresponds to the attribute data of a group containing multiple implementing entities (operators). The attribute data includes the degree of replacement of multiple implementing entities (operators). Therefore, the second indicator value represents the degree of replacement of multiple implementing entities 21 within the second period. The degree of replacement of multiple implementing entities 21 can be the number of replacements of multiple implementing entities 21, or the proportion of replacements of multiple implementing entities 21. For example, suppose that 6 out of 10 implementing entities 21 were replaced. In this case, the number of replacements of multiple implementing entities 21 is 6, and the proportion of replacements of multiple implementing entities 21 is 60%.

[0044] The first arithmetic circuit 35 is connected to the first input device 31, the first output device 32, and the first communication device 33, and can access the first storage device 34. The first arithmetic circuit 35 can be implemented, for example, by a computer system. The computer system includes one or more processors (microprocessors) and one or more memories. Various functions of the manufacturing planning system 3 are implemented by executing programs (stored in one or more memories or the first storage device 34) through one or more processors. The program can be pre-recorded in the first storage device 34, or it can be provided via electrical communication lines such as the Internet, or recorded on a non-temporary recording medium such as a memory card.

[0045] The first processing circuit 35, for example, obtains information related to the manufacturing of products in each manufacturing line 20 of the manufacturing facility 2 through communication via the first communication device 33, and updates the manufacturing performance database DB1. As an example, the first processing circuit 35 can communicate with each manufacturing line 20 of the manufacturing facility 2 via the first communication device 33 to obtain historical data representing the manufacturing history (past log) at any time.

[0046] The first operational circuit 35 generates and outputs a manufacturing plan D1 by executing the manufacturing plan formulation method described later.

[0047] Information terminal 4 is used for user 5 to input information and to provide information prompts to user 5. Figure 4 This is a block diagram of information terminal 4. Information terminal 4 includes: a second input device 41, a second output device 42, a second communication device 43, a second storage device 44, and a second arithmetic circuit 45. Information terminal 4 can be implemented, for example, through a personal computer (desktop computer, laptop computer), a portable terminal (smartphone, tablet computer, etc.), etc. The structures of the second input device 41, second output device 42, second communication device 43, second storage device 44, and second arithmetic circuit 45 are the same as the structures of the first input device 31, first output device 32, first communication device 33, first storage device 34, and first arithmetic circuit 35.

[0048] Next, the manufacturing plan formulation method executed by the first operational circuit 35 will be explained. Figure 5 This is a flowchart of the manufacturing planning methodology.

[0049] When formulating manufacturing plan D1, the first calculation circuit 35 displays the actual performance of manufacturing line 20 applying manufacturing plan D1 (S11) to enable user 5 to understand the current situation. More specifically, the first calculation circuit 35 transmits the actual performance information of manufacturing line 20 to information terminal 4 via the first communication device 33. Information terminal 4 displays the actual performance of manufacturing line 20 to user 5 via the second output device 42. The actual performance information of manufacturing line 20 is extracted from the manufacturing actual performance database DB1. The actual performance information of manufacturing line 20 may include, for example, time-series data of the actual production quantity, time-series data of the target production quantity, time-series data of the actual operation time, time-series data of the target operation time, and required time data. Thus, user 5 can easily grasp the difference between the actual production quantity and the target production quantity, as well as the difference between the actual operation time and the target operation time.

[0050] The first operational circuit 35 determines the conditions for formulating the manufacturing plan D1 (S12). The conditions for formulating the manufacturing plan D1 include the first period, the first target value, the reference time, and the operation time.

[0051] The first period is the period during which products are manufactured according to manufacturing plan D1. The first period begins with the change of multiple executing entities 21. During the first period, it is assumed that the change of multiple executing entities 21 does not occur. The first period is, for example, one month, from the first day of the target month to the last day. The first period is not limited to one month; it can be any period such as one week, three months, or one year. The first period contains multiple unit periods arranged in chronological order. When the first period is one month, the unit period corresponds to the working days of the month. For example, suppose the first period is from November 1st to 30th, with November 3rd and 23rd being holidays. If November 1st is a Wednesday, the working days are a total of 19 days: November 1st, 2nd, 6th-10th, 13th-17th, 20th-22nd, 24th, and 27th-30th.

[0052] The first indicator value represents the degree of replacement of multiple execution entities 21 during the first period. In other words, the first indicator value is information about the degree of replacement of multiple operators. The degree of replacement of multiple execution entities 21 can be the number of multiple execution entities 21 replaced, or the proportion of multiple execution entities 21 replaced. User 5 can determine the first indicator value based on the predetermined configuration of the execution entities 21 of the manufacturing line 20 of manufacturing facility 2 during the first period.

[0053] The baseline time is the target time required for manufacturing line 20. The baseline time can correspond to the required time for manufacturing line 20 under the assumption that all personnel of the multiple execution entities 21 are highly proficient in the operations on manufacturing line 20. User 5 can, for example, determine the baseline time based on the actual performance of manufacturing line 20.

[0054] The work time is the time spent manufacturing the product in the first period. The first period contains multiple unit periods, and the work time is allocated into smaller work times based on these unit periods. In other words, the work time is the total of the smaller work times. The work time is given by the total of the first work time as a fixed value and the second work time as a variable value. The first work time is a value determined by the length of the first period, while the second work time is a value that can be changed. Similarly, the smaller work time is given by the total of the first smaller work time as a fixed value and the second smaller work time as a variable value. The first smaller work time is the same across multiple unit periods, while the second smaller work time can change its value for each unit period. The first work time is the total of the first smaller work times, and the second work time is the total of the second smaller work times. Furthermore, the second work time can be 0.

[0055] For example, if the first period is one month and the unit period is one day, the first sub-task time is the time required to perform the task within one day, and the second sub-task time is the time to perform the task within one day excluding the first sub-task time. As an example, the first task time and the first sub-task time correspond to the statutory working hours, and the second task time and the second sub-task time correspond to overtime work hours.

[0056] Table 1 below shows an example of the setting for the first period and the job time. In Table 1, the total in the column for the first sub-job time represents the first job time, and the total in the column for the second sub-job time represents the second job time. In Table 1, the job time is the total of the first job time and the second job time, which is 9420 minutes.

[0057] [Table 1]

[0058]

[0059] The first arithmetic circuit 35 communicates with the second arithmetic circuit 45 of the information terminal 4 via the first communication device 33. The second arithmetic circuit 45 displays an input screen for the user 5 to input the conditions for formulating manufacturing plan D1 using the second output device 42. The user 5 observes the input screen and determines the manufacturing line 20 to which manufacturing plan D1 is to be formulated via the second input device 41 of the information terminal 4. The manufacturing line 20 is determined, for example, based on information such as the identification number of the manufacturing line 20 and the machine model. The user 5 can observe the input screen and input the first period, the first indicator value, the reference time, and the operation time via the second input device 41 of the information terminal 4. The second arithmetic circuit 45 accepts the input of the first period, the first indicator value, the reference time, and the operation time, and sends the first period, the first indicator value, the reference time, and the operation time to the manufacturing plan formulation system 3 via the second communication device 43. The first arithmetic circuit 35 determines the first period, the first indicator value, the reference time, and the operation time based on the first period, the first indicator value, the reference time, and the operation time received from the information terminal 4. Thus, in the manufacturing planning system 3, the second input device 41 and the first communication device 33 are used to obtain the first period, the first indicator value, the reference time, and the operation time.

[0060] The second processing circuit 45 can also accept input of additional information via an input screen. This additional information may include, for example, the target quantity of products manufactured in the first period, the unit price of the products, and the labor costs incurred in manufacturing the products. This additional information can be input by the user 5 using the second input device 41. The second processing circuit 45 then transmits the additional information to the manufacturing planning system 3 via the second communication device 43.

[0061] When the first calculation circuit 35 determines the first indicator value, it acquires the manufacturing actual performance data corresponding to the first indicator value (S13). More specifically, the first calculation circuit 35 acquires the manufacturing actual performance data corresponding to the first indicator value from the manufacturing actual performance database DB1. The first calculation circuit 35 compares the first indicator value with the second indicator values ​​of multiple manufacturing actual performance data in the manufacturing actual performance database DB1. The second indicator value with the smallest difference from the first indicator value among the multiple manufacturing actual performance data is determined to correspond to the first indicator value. Therefore, the first calculation circuit 35 extracts the manufacturing actual performance data with the smallest difference between the first indicator value and the second indicator value as the manufacturing actual performance data corresponding to the first indicator value. If there is manufacturing actual performance data containing a second indicator value that matches the first indicator value, this manufacturing actual performance data is extracted as the manufacturing actual performance data corresponding to the first indicator value. In the absence of actual manufacturing performance data containing a second indicator value that is consistent with the first indicator value, the actual manufacturing performance data containing the second indicator value that is closest to the first indicator value among multiple actual manufacturing performance data is extracted as the actual manufacturing performance data corresponding to the first indicator value.

[0062] The first calculation circuit 35 determines the change in proficiency of the multiple execution entities 21 from the start of the first period (S14). The first calculation circuit 35 determines the change in proficiency based on the required time data contained in the actual manufacturing performance data corresponding to the first indicator value.

[0063] Figure 6 This illustrates an example of the time required for different numbers of replacements of multiple execution entities 21. Figure 6 In the graph, the horizontal axis represents time, and the vertical axis represents the moving average of the median value over the desired time period. The moving average period is set to 1 day. Figure 6 In this context, the second indicator value corresponding to G1, G2, G3, G4, and G5 increases in that order, meaning the degree of replacement increases. Figure 6 In this context, Ts represents the baseline time required for manufacturing line 20. From... Figure 6 I understand. The larger the value of the second indicator, the longer the initial time required for the cycle, and the longer the time it takes to reach the base time Ts tends to be.

[0064] The change in proficiency is determined based on the length of the proficiency interval from the switching of multiple execution entities 21 to the arrival of the base time Ts in the required time data, and the representative value of the required time within the proficiency interval. In this embodiment, the representative value of the required time within the proficiency interval is the maximum value. In addition to the maximum value, other representative values ​​include the median value, the most frequent value, etc. Furthermore, in this embodiment, the change in required time is relative to the change in time, therefore the unit of the length of the proficiency interval is time.

[0065] Figure 7 This is a graph illustrating the first example of proficiency variation. The first example uses the time required as an indicator of proficiency. The shorter the time required, the higher the proficiency. The first example appropriately corresponds to the scenario where proficiency is considered to change linearly. Figure 7 In this context, ta is the time point at which multiple execution entities 21 are replaced, and ts is the time point at which the required time becomes the base time Ts. The period from time point ta to time point ts is the proficiency interval. Ta is the representative value of the required time within the proficiency interval (the maximum value in this embodiment). If time is set to t and the required time is set to T, then... Figure 7 The chart is represented by the following formulas (1) and (2).

[0066] [Mathematical Expression 1]

[0067]

[0068] Figure 8 This is a graph illustrating the second example of proficiency variation. The second example is the same as the first, using the required time as an indicator of proficiency. The second example appropriately corresponds to the scenario where proficiency is considered to follow a curve. Figure 8 The graph is represented by the following equation (3). In equation (3), c1 and c2 are parameters of proficiency, which can be determined by fitting the data with the required time.

[0069] [Mathematical Expression 2]

[0070]

[0071] Equations (1), (2), or (3) above can be considered as models that model the relative change in proficiency of a group containing multiple operators over a period of time. The first operational circuit 35 can simulate proficiency by comparing the model with the obtained degree of replacement of multiple operators. Through the simulation of proficiency, the change in proficiency can be obtained.

[0072] Refer again Figure 5 The first arithmetic circuit 35 generates a manufacturing plan D1 (S15). When generating manufacturing plan D1, the predetermined quantity of products to be manufactured in the first period is calculated. The predetermined quantity is determined based on the changes in work time and skill level used for product manufacturing during the first period. To reflect the changes in skill level in the predetermined quantity, the predetermined quantity is given by the total number of products manufactured over multiple unit periods. In each of the multiple unit periods, the number of products manufactured is given by the minimum work time within the unit period and the skill level within the unit period calculated based on the changes in skill level.

[0073] For example, Figure 7The first example shown applies to changes in proficiency. The change in the required time T representing the change in proficiency, with a baseline time Ts of 60 seconds, a representative value Ta of 100 seconds, and a proficiency interval (the number of days between ts and ta) of 10 days, is shown in Table 2 below. In Table 2, the proficiency ratio is given by T / Ts, and the proficiency loss ratio is given by Ts / T. The proficiency ratio and proficiency loss ratio can be used as indicators of proficiency in place of the required time T.

[0074] [Table 2]

[0075]

[0076] In this embodiment, when the required time T is used as a measure of skill level, the number of products manufactured is obtained by dividing the mini-job time by the required time T. Furthermore, when a skill loss ratio is used as a measure of skill level, the number of products manufactured is obtained by multiplying the skill loss ratio by the value obtained by dividing the mini-job time by the base time Ts.

[0077] Table 3 below shows the production quantity of products for each unit period, calculated based on Tables 1 and 2. Further, Table 3 shows the production quantity of products for the first and second work hours of each unit period. The production quantity of products for each unit period is the sum of the production quantities for the first and second work hours of each unit period.

[0078] [Table 3]

[0079]

[0080] The predetermined quantity is the total number of products manufactured over multiple unit periods, which is 8249 units in the case of Table 3 below. The predetermined quantity includes the first predetermined quantity corresponding to the first work period and the second predetermined quantity corresponding to the second work period. The first predetermined quantity is 7599 units, and the second predetermined quantity is 650 units. Thus, the predetermined quantity of products manufactured in the first period is calculated. The predetermined quantity is calculated using the change in proficiency during the first period. Therefore, when products are actually manufactured according to manufacturing plan D1, the probability of obtaining a quantity of products that is consistent with or close to the predetermined quantity of manufacturing plan D1 increases. Therefore, the feasibility of manufacturing plan D1 can be improved.

[0081] Manufacturing plan D1, in addition to the predetermined quantity of products to be manufactured in period 1, also includes the quantity of products to be manufactured in each of the multiple unit periods arranged chronologically within period 1. The quantity of products to be manufactured in each of the multiple unit periods is calculated during the process of calculating the predetermined quantity. The quantity to be manufactured per unit period is calculated using the change in proficiency during period 1. Therefore, when products are actually manufactured according to manufacturing plan D1, the probability of obtaining a quantity of products that is consistent with or close to the quantity to be manufactured per unit period of manufacturing plan D1 increases. Thus, the feasibility of manufacturing plan D1 can be improved.

[0082] Manufacturing plan D1 includes sales revenue based on a predetermined quantity of products. Sales revenue based on a predetermined quantity of products is calculated using the predetermined quantity and the unit price of the products. For example, sales revenue based on a predetermined quantity of products is obtained by multiplying the unit price of the products by the predetermined quantity.

[0083] Manufacturing plan D1 includes the manufacturing overhead for products based on the second job time and the sales revenue for products based on the second predetermined quantity. The manufacturing overhead for products based on the second job time is calculated based on the second job time and labor costs. For example, the manufacturing overhead for products based on the second job time is obtained by multiplying the labor costs by the second job time. The sales revenue for products based on the second predetermined quantity is calculated based on the second predetermined quantity and the unit price of the products. For example, the sales revenue for products based on the second predetermined quantity is obtained by multiplying the unit price of the products by the second predetermined quantity.

[0084] Manufacturing plan D1 also includes the target quantity of products to be manufactured in period 1 and the target value of operation time for period 1. The target quantity of products to be manufactured in period 1 and the target value of operation time for period 1 are extracted from the supplementary information.

[0085] Manufacturing plan D1 can include the conditions for its creation, the first period, the first target value, the baseline time, and the operation time.

[0086] The first arithmetic circuit 35 outputs the manufacturing plan D1 thus obtained (S16). The first arithmetic circuit 35 sends the information of the manufacturing plan D1 to the information terminal 4 through the first communication device 33.

[0087] The information terminal 4 displays the manufacturing plan D1 received from the manufacturing planning system 3 to the user 5 via the second output device 42. In the information terminal 4, the second calculation circuit 45 can generate chart information or a GUI (graphical user interface) representing the manufacturing plan D1 through a simulation of proficiency.

[0088] The second calculation circuit 45 can indicate the predetermined quantity of products to be manufactured in the first period based on the manufacturing plan D1. The predetermined quantity can be displayed in relation to the manufacturing quantity in the second hour. For example, the predetermined quantity can be displayed together with the total of the second hour and the manufacturing quantity in the second hour. In the case of Table 1, the total operating time is 9420 minutes, and the total of the second hour is 720 minutes. In this case, according to Table 3, the predetermined quantity is 8249 units, of which 650 units are the manufacturing quantity in the second hour. As shown in Table 4 below, the second calculation circuit 45 can display the results of the manufacturing quantity and operating time in the first period, and the increment of the manufacturing quantity and total of the second hour in tabular form. Thus, the user 5 can easily understand to what extent the second hour needs to be adjusted to adjust the predetermined quantity of products, and the study of the revision of the manufacturing plan D1 becomes easier.

[0089] [Table 4]

[0090]

[0091] Furthermore, the predetermined quantity can also be displayed in relation to the target quantity of products manufactured in the first period. For example, the predetermined quantity can be displayed along with the difference between the predetermined quantity and the target quantity, and the corresponding operation time for the difference between the target quantity and the predetermined quantity. The operation time corresponding to the difference between the target quantity and the predetermined quantity is calculated based on the difference between the target quantity and the predetermined quantity and a baseline time. For example, when the target quantity is 8000 units, the difference between the target quantity and the predetermined quantity is +249 units, and the operation time corresponding to the difference between the target quantity and the predetermined quantity is +249 minutes. The second calculation circuit 45, as shown in Table 5 below, can display the predetermined quantity, the difference between the predetermined quantity and the target quantity, the operation time, and the operation time corresponding to the difference between the target quantity and the predetermined quantity in tabular form. Thus, the user 5 can easily grasp the extent to which the operation time needs to be adjusted to achieve the target quantity of the products, making the study of revising the manufacturing plan D1 easier.

[0092] [Table 5]

[0093]

[0094] The second calculation circuit 45, based on manufacturing plan D1, displays the manufacturing quantity of products for each of the multiple unit periods arranged in chronological order within the first period. The manufacturing quantity of products per unit period can be divided into the manufacturing quantity for the first sub-job time and the manufacturing quantity for the second sub-job time. This allows user 5 to easily grasp the job times, facilitating the revision of manufacturing plan D1. The second calculation circuit 45 can also display the manufacturing quantity of products per unit period graphically.Figure 9 This is a bar chart showing the number of units manufactured per unit period based on the manufacturing plan. Figure 9 In the graph, the white bars represent the number of items manufactured in the first hour of production, and the gray bars represent the number of items manufactured in the second hour of production.

[0095] The second calculation circuit 45, based on manufacturing plan D1, displays the individual task times for each of the multiple unit periods arranged in chronological order within the first period. Specifically, the task times can be divided into the first task time and the second task time. This allows user 5 to easily grasp the task times, facilitating revisions to manufacturing plan D1. The second calculation circuit 45 can also display the task times for each unit period graphically. Figure 10 This is a bar chart showing the time for small operations per unit period based on the manufacturing plan. Figure 10 In the graph, the white bars represent the time for the first sub-task, and the gray bars represent the time for the second sub-task.

[0096] The second operational circuit 45, based on manufacturing plan D1, displays the sales revenue based on a predetermined quantity of products. Thus, user 5 can easily track the sales revenue of the products.

[0097] The second arithmetic circuit 45, based on manufacturing plan D1, displays the manufacturing cost of the product based on the second operation time and the sales revenue of the product based on the second predetermined quantity. Thus, the user 5 can study and revise manufacturing plan D1 by comparing the manufacturing cost of the product based on the second operation time with the sales revenue of the product based on the second predetermined quantity.

[0098] In this way, user 5 can refer to the manufacturing plan D1 displayed on the second output device 42 of information terminal 4 and modify the conditions for setting manufacturing plan D1, the first period, the first indicator value, the base time, and the operation time as needed to revise manufacturing plan D1. In this embodiment, the operation time is divided into a first operation time as a fixed value and a second operation time as a variable value, and the first operation time and the second operation time can be determined independently. Therefore, user 5 can adjust the second operation time to make the predetermined quantity close to the target quantity, so that the operation time corresponding to the difference between the target quantity and the predetermined quantity is close to 0 minutes. When using manufacturing plan D1, user 5 can output manufacturing plan D1 from information terminal 4 and apply it to the actual plan.

[0099] In the manufacturing planning method described above, the degree of change in the proficiency of the manufacturing line 20 can be determined based on the number of changes in the multiple execution entities 21 of the manufacturing line 20. Therefore, a manufacturing plan D1 that can be executed by the manufacturing line 20 can be formulated. Thus, the overall planning prospects of the factory or supply chain can be accurately grasped.

[0100] [1.2 Effects, etc.]

[0101] The manufacturing planning method described above is a manufacturing planning method executed by an arithmetic circuit (first arithmetic circuit 35) to formulate a manufacturing plan D1 for a product. This product is manufactured through manufacturing processes performed sequentially by multiple execution entities 21. In this manufacturing planning method, a first index value is determined, indicating the degree of change of the multiple execution entities 21 during a first period. Based on the first index value, the change in proficiency of the multiple execution entities from the beginning of the first period is determined. Based on the change in proficiency, the manufacturing plan D1 for the product in the first period is output. This structure improves the feasibility of the manufacturing plan D1.

[0102] In the manufacturing planning method, the computational circuit (first computational circuit 35) can access a manufacturing performance database DB1 containing multiple manufacturing performance data. These multiple manufacturing performance data each contain required time data indicating changes in the required time of manufacturing processes since the replacement of multiple execution entities 21, and a second indicator value indicating the degree of replacement of the multiple execution entities 21. Changes in proficiency are determined based on the required time data of the manufacturing performance data that includes the second indicator value corresponding to the first indicator value. Since changes in proficiency are determined based on actual performance, this structure further improves the feasibility of the manufacturing plan D1.

[0103] In the manufacturing planning methodology, the change in proficiency is determined based on the length of the proficiency interval from the change of multiple executing entities 21 to the arrival of the baseline time in the required time data, and the representative value of the required time within the proficiency interval in the required time data. This structure can further improve the feasibility of manufacturing plan D1.

[0104] In the manufacturing planning methodology, the representative value is the maximum value. This structure can further improve the feasibility of manufacturing plan D1.

[0105] In the manufacturing planning methodology, the second indicator value among multiple actual manufacturing performance data that has the smallest difference from the first indicator value is determined to correspond to the first indicator value. This structure can further improve the feasibility of manufacturing plan D1.

[0106] In the manufacturing planning methodology, manufacturing plan D1 contains the predetermined quantity of products to be manufactured in period 1. This structure facilitates the study of revisions to manufacturing plan D1.

[0107] In the manufacturing planning methodology, Manufacturing Plan D1 contains the target quantity of products to be manufactured in Period 1. This structure facilitates the study of revisions to Manufacturing Plan D1.

[0108] In the manufacturing planning methodology, the predetermined quantity is determined based on changes in the operation time and skill level used for product manufacturing during period 1. This structure further enhances the feasibility of manufacturing plan D1.

[0109] In this manufacturing planning methodology, the manufacturing plan includes the production quantities of products for each of the multiple unit periods arranged in chronological order within the first period. Within each unit period, the production quantity is determined by the minimum work time within the unit period and the proficiency level within the unit period, calculated based on changes in proficiency. This structure facilitates the revision of the manufacturing plan D1.

[0110] In the manufacturing planning methodology, manufacturing plan D1 includes sales revenue based on a predetermined quantity of products. This structure facilitates the study of revisions to manufacturing plan D1.

[0111] In this manufacturing planning methodology, the operation time is the sum of the first operation time (a fixed value) and the second operation time (a variable value). The first and second operation times are determined separately. This structure facilitates the revision of the manufacturing plan D1.

[0112] In the manufacturing planning methodology, the predetermined quantity includes a first predetermined quantity corresponding to the first operation time and a second predetermined quantity corresponding to the second operation time. The manufacturing plan includes the manufacturing cost of the product based on the second operation time and the sales revenue of the product based on the second predetermined quantity. This structure facilitates the study of revisions to the manufacturing plan D1.

[0113] The manufacturing planning system 3 described above is a manufacturing planning system for creating a manufacturing plan D1 for a product manufactured by multiple execution entities 21 performing manufacturing processes sequentially. The manufacturing planning system 3 includes a first calculation circuit 35. The first calculation circuit 35 determines a first index value representing the degree of change of the multiple execution entities 21 during a first period. Based on the first index value, it determines the change in the proficiency of the multiple execution entities from the beginning of the first period. Based on the change in proficiency, it outputs the manufacturing plan D1 for the product during the first period. This structure improves the feasibility of the manufacturing plan D1.

[0114] The program described above is used to enable the first operational circuit 35 to execute the manufacturing plan formulation method described above. This structure can improve the feasibility of manufacturing plan D1.

[0115] The information terminal 4 described above is communicatively connected to the manufacturing planning system 3. The information terminal 4 includes: a second input device 41, a second output device 42, a second communication device 43, and a second arithmetic circuit 45 that controls the second input device 41, the second output device 42, and the second communication device 43. The second arithmetic circuit 45 receives the input of a first indicator value through the second input device 41, sends the first indicator value to the manufacturing planning system 3 and receives the manufacturing plan D1 from the manufacturing planning system 3 through the second communication device 43, and displays the manufacturing plan D1 through the second output device 42. This structure improves the feasibility of the manufacturing plan D1.

[0116] [2. Variations]

[0117] The embodiments disclosed herein are not limited to the embodiments described above. Various modifications can be made to the above embodiments, depending on the design, etc., as long as the objectives of this disclosure are achieved. Hereinafter, variations of the above embodiments are listed. The variations described below can be appropriately combined and applied.

[0118] In a variation, the first computational circuit 35 can use the learned model to determine changes in proficiency. The learned model can be stored, for example, in the first storage device 34, but is not particularly limited thereto. That is, as long as the first computational circuit 35 can access it, the learned model can be stored in external storage such as a server. Figure 6As shown, it can be understood that the larger the value of the second indicator (the greater the degree of replacement), the longer the initial time required for the cycle, and the longer the time it takes to reach the baseline time Ts. Therefore, it is believed that there is a correlation between the degree of replacement, the elapsed time since replacement, and proficiency. Thus, when determining changes in proficiency, a learned completion model that has learned about this correlation is considered. Specifically, the learned completion model can have: one or more learned completion parameters generated using machine learning (e.g., supervised learning) on ​​the learning dataset, and an inference program programmed with one or more learned completion parameters. For the degree of replacement, the first indicator value can be used. For the elapsed time since replacement, the elapsed time from the start of the first period can be used. Therefore, the learning dataset contains the first indicator value and the elapsed time from the start of the first period as input, and contains a proficiency indicator as output. The proficiency indicator can be selected from proficiency itself, required time, proficiency ratio, or proficiency loss ratio. The inference program can be a known program, such as a logistic regression model, a neural network model, etc. As described above, the first computational circuit 35 can access the completed learning model. The completed learning model may include: one or more completed learning parameters generated using machine learning on a learning dataset, and an inference program programmed with one or more completed learning parameters. The learning dataset may contain a first metric value and the elapsed time from the start of the first period as input, and a proficiency metric as output. The first computational circuit 35 can use the completed learning model to determine changes in proficiency. That is, the first computational circuit 35 can input the first metric value and the elapsed time from the start of the first period into the completed learning model, and obtain the proficiency metric as output from the completed learning model, thereby determining changes in proficiency.

[0119] In one variation, when acquiring actual manufacturing performance data corresponding to the first indicator value, it is preferable to use actual manufacturing performance data of the manufacturing line 20 that is the object of manufacturing plan D1. However, the manufacturing line 20 that is the object of manufacturing plan D1 is not necessarily limited to having preferred actual manufacturing performance data. For example, if there is no actual manufacturing performance data for the manufacturing line 20 that is the object of manufacturing plan D1, where the difference between the first indicator value and the second indicator value is below a threshold, then actual manufacturing performance data of the manufacturing line 20 that is considered to be the same as the manufacturing line 20 that is the object of manufacturing plan D1 can be, for example, a manufacturing line 20 of the same model as the manufacturing line 20 that is the object of manufacturing plan D1, or a manufacturing line 20 that represents the same change in required time.

[0120] In a variation, the reference time may not necessarily need to be input by user 5. The reference time can also be predetermined for the model of manufacturing line 20. In this case, the reference time is determined from a table showing the relationship between the model of manufacturing line 20 and the reference time by determining the model of manufacturing line 20.

[0121] In a variation, the first period, the first indicator value, the baseline time, and the work time can all be entered at different times. As long as the first indicator value is entered, the change in proficiency can be determined. Therefore, a chart indicating the change in proficiency (see [reference]) can be displayed. Figure 7 , Figure 8 After that, the input of the first period, the base time, and the operation time is accepted.

[0122] In a variation, the change in required time can also be a change in required time relative to the number of times the product is manufactured. In this case, in the required time data, the unit of the length of the proficiency interval from the change of multiple execution entities 21 to the time required to reach the reference time Ts is the number of times, so the change in proficiency also becomes a change relative to the number of times the product is manufactured.

[0123] In a variation, manufacturing plan D1 is not necessarily limited to the above-described implementation, as long as it includes at least the predetermined quantity of products to be manufactured in the first period. For example, manufacturing plan D1 may not include the quantity of products manufactured for each of the multiple unit periods arranged in chronological order within the first period. Furthermore, manufacturing plan D1 may not include the target quantity of products to be manufactured in the first period. Additionally, manufacturing plan D1 may not include the first period, the first indicator value, the base time, and / or the operating time. Furthermore, manufacturing plan D1 may not include sales revenue based on the predetermined quantity of products, manufacturing costs of products based on the second operating time, or sales revenue based on the second predetermined quantity of products. On the other hand, manufacturing plan D1 may include information on changes in proficiency determined by the first indicator value, and such changes in proficiency can be displayed to the user.

[0124] In one variation, the manufacturing planning system 3 can also be implemented by multiple computer systems such as servers. The multiple functions (components) of the manufacturing planning system 3 do not necessarily have to be concentrated in one frame; the components of the manufacturing planning system 3 can also be distributed across multiple frames. Furthermore, at least a portion of the functions of the manufacturing planning system 3, such as a portion of the functions of the first computing circuit 35, can also be implemented via the cloud (cloud computing).

[0125] In a variation, the manufacturing planning system 3 and the information terminal 4 can also be implemented by a single computer system. For example, multiple functions (components) in the manufacturing planning system 3 and the information terminal 4 can also be integrated into a single frame.

[0126] [3. Method]

[0127] As can be clearly seen from the above embodiments and variations, this disclosure includes the following methods.

[0128] [Method 1]

[0129] A manufacturing planning method, executed by a computing circuit to formulate a manufacturing plan for a product, wherein the product is manufactured by manufacturing processes performed sequentially by multiple executing entities.

[0130] In the manufacturing planning method described above

[0131] A first indicator value is determined to represent the extent of the replacement of the plurality of implementing entities during the first period.

[0132] Based on the first indicator value, the change in proficiency of the multiple execution entities from the beginning of the first period is determined.

[0133] Based on the change in proficiency, output the manufacturing plan for the product during the first period.

[0134] [Method 2]

[0135] In the manufacturing planning method of Method 1,

[0136] The computing circuit can access a manufacturing performance database containing multiple manufacturing performance data.

[0137] The various manufacturing performance data include: time required data indicating the change in the required time of the manufacturing process since the replacement of the various execution entities, and a second indicator value indicating the degree of replacement of the various execution entities.

[0138] The change in proficiency is determined based on the required time data of manufacturing actual performance data that includes the second indicator value corresponding to the first indicator value among the plurality of manufacturing actual performance data.

[0139] [Method 3]

[0140] In the manufacturing planning method of Method 2,

[0141] The change in proficiency is determined based on the length of the proficiency interval from the change of the plurality of execution entities to the arrival of the base time in the required time data, and the representative value of the required time within the proficiency interval in the required time data.

[0142] [Method 4]

[0143] In the manufacturing planning method of Method 3,

[0144] The representative value is the maximum value.

[0145] [Method 5]

[0146] In any of the manufacturing planning methods from 2 to 4,

[0147] The second indicator value among the multiple actual manufacturing performance data that has the smallest difference from the first indicator value is determined to correspond to the first indicator value.

[0148] [Method 6]

[0149] In the manufacturing planning method of Method 1,

[0150] The computing circuit can access the learned model.

[0151] The learned-complete model comprises: one or more learned-complete parameters generated by machine learning using a learning dataset, and an inference program programmed with the one or more learned-complete parameters.

[0152] The learning dataset includes the first indicator value and the elapsed time from the start of the first period as input, and includes the proficiency indicator as output.

[0153] The computational circuit uses the learned model to determine the change in proficiency.

[0154] [Method 7]

[0155] In any of the manufacturing planning methods from 1 to 6,

[0156] The manufacturing plan includes a predetermined quantity of the product to be manufactured during the first period.

[0157] [Method 8]

[0158] In the manufacturing planning method of Method 7,

[0159] The manufacturing plan includes the target quantity of the product to be manufactured during the first period.

[0160] [Method 9]

[0161] In manufacturing planning methods 7 or 8,

[0162] The predetermined quantity is determined based on the change in the work time used for manufacturing the product during the first period and the change in skill level.

[0163] [Method 10]

[0164] In the manufacturing planning method of Method 9,

[0165] The manufacturing plan includes the manufacturing quantities of the product for each of the multiple unit periods arranged in chronological order within the first period.

[0166] In each of the plurality of unit periods, the quantity of the product manufactured is given by the smaller work time within the unit period of the work time and the proficiency within the unit period calculated based on the change in proficiency.

[0167] [Method 11]

[0168] In any of the manufacturing planning methods from methods 7 to 10,

[0169] The manufacturing plan includes sales revenue based on the predetermined quantity of the products.

[0170] [Method 12]

[0171] In manufacturing planning methods 9 or 10,

[0172] The work time is the sum of the first work time (a fixed value) and the second work time (a variable value).

[0173] The time for the first operation and the time for the second operation are determined separately.

[0174] [Method 13]

[0175] In the manufacturing planning method of method 12,

[0176] The predetermined quantity includes a first predetermined quantity corresponding to the first operation time and a second predetermined quantity corresponding to the second operation time.

[0177] The manufacturing plan includes: the manufacturing cost of the product based on the second operating time, and the sales revenue of the product based on the second predetermined quantity.

[0178] [Method 14]

[0179] A manufacturing planning system is provided for developing a manufacturing plan for a product manufactured by multiple entities performing sequential manufacturing processes.

[0180] The manufacturing planning system has a first computing circuit.

[0181] The first operational circuit performs the following processing:

[0182] A first indicator value is determined to represent the extent of the replacement of the plurality of implementing entities during the first period.

[0183] Based on the first indicator value, the change in proficiency of the multiple execution entities from the beginning of the first period is determined.

[0184] Based on the change in proficiency, output the manufacturing plan for the product during the first period.

[0185] [Method 15]

[0186] A program for causing the arithmetic circuit to perform a manufacturing plan formulation method of any one of modes 1 to 13.

[0187] [Method 16]

[0188] An information terminal is communicatively connected to the manufacturing planning system of method 14.

[0189] The information terminal includes: an input device, an output device, a communication device, and a second arithmetic circuit for controlling the input device, the output device, and the communication device.

[0190] The second operational circuit performs the following processing:

[0191] The input device accepts the input of the first indicator value.

[0192] The first indicator value is sent to the manufacturing planning system and the manufacturing plan is received from the manufacturing planning system via the communication device.

[0193] The manufacturing plan is displayed through the output device.

[0194] [Method 17]

[0195] An information processing device comprising:

[0196] Storage device that stores attribute data of a group including multiple operators performing manufacturing processes;

[0197] The model models the change in skill level of a group of multiple operators relative to the duration of the entire manufacturing process.

[0198] An input device or communication device acquires information about the degree of replacement of the multiple operators; and

[0199] One or more computing circuits store the information on the degree of replacement of the multiple operators in the storage device, simulate the proficiency of the multiple operators by comparing it with the model based on the degree of replacement of the multiple operators, and generate chart information or GUI representing the manufacturing plan through the proficiency simulation.

[0200] Methods 2 through 13 are optional elements, not mandatory. Methods 2 through 13 can be appropriately combined with methods 14, 16, and 17.

[0201] Industrial availability

[0202] This disclosure can be applied to manufacturing planning methods, manufacturing planning systems, programs, and information terminals. Specifically, this disclosure can be applied to manufacturing planning methods, manufacturing planning systems, programs, and information terminals used to formulate manufacturing plans for products manufactured through sequential operations performed by multiple executing entities.

[0203] Explanation of reference numerals in the attached figures

[0204] 21 Implementing Entities

[0205] 3 Manufacturing Planning System

[0206] 35. Operational Circuit No. 1 (Arithmetic Circuit)

[0207] 4. Information Terminal

[0208] 41. Second input device (input device)

[0209] 42 Second output device (output device)

[0210] 43 2nd communication device (communication device)

[0211] 45. Second operational circuit

[0212] D1 Manufacturing Plan.

Claims

1. A manufacturing planning method, wherein a computing circuit is executed to formulate a manufacturing plan for a product, said product being manufactured by a manufacturing process performed sequentially by multiple executing entities. In the manufacturing planning method described above A first indicator value is determined to represent the extent of the replacement of the plurality of implementing entities during the first period. Based on the first indicator value, the change in proficiency of the multiple execution entities from the beginning of the first period is determined. Based on the change in proficiency, output the manufacturing plan for the product during the first period.

2. The manufacturing planning method according to claim 1, wherein, The computing circuit can access a manufacturing performance database containing multiple manufacturing performance data. The various manufacturing performance data include: time required data indicating the change in the required time of the manufacturing process since the replacement of the various execution entities, and a second indicator value indicating the degree of replacement of the various execution entities. The change in proficiency is determined based on the required time data of the manufacturing performance data, which includes the second indicator value corresponding to the first indicator value.

3. The manufacturing planning method according to claim 2, wherein, The change in proficiency is determined based on the length of the proficiency interval from the change of the plurality of execution entities to the arrival of the base time in the required time data, and the representative value of the required time within the proficiency interval in the required time data.

4. The manufacturing planning method according to claim 3, wherein, The representative value is the maximum value.

5. The manufacturing planning method according to claim 2, wherein, The second indicator value among the multiple actual manufacturing performance data that has the smallest difference from the first indicator value is determined to correspond to the first indicator value.

6. The manufacturing planning method according to claim 1, wherein, The computing circuit can access the learned model. The learned-complete model comprises: one or more learned-complete parameters generated by machine learning using a learning dataset, and an inference program programmed with the one or more learned-complete parameters. The learning dataset includes the first indicator value and the elapsed time from the start of the first period as input, and includes the proficiency indicator as output. The computational circuit uses the learned model to determine the change in proficiency.

7. The manufacturing planning method according to claim 1, wherein, The manufacturing plan includes a predetermined quantity of the product to be manufactured during the first period.

8. The manufacturing planning method according to claim 7, wherein, The manufacturing plan includes the target quantity of the product to be manufactured during the first period.

9. The manufacturing planning method according to claim 8, wherein, The predetermined quantity is determined based on the change in the work time used for manufacturing the product during the first period and the change in skill level.

10. The manufacturing planning method according to claim 9, wherein, The manufacturing plan includes the manufacturing quantities of the product for each of the multiple unit periods arranged in chronological order within the first period. In each of the plurality of unit periods, the quantity of the product manufactured is given by the smaller work time within the unit period of the work time and the proficiency within the unit period calculated based on the change in proficiency.

11. The manufacturing planning method according to claim 7, wherein, The manufacturing plan includes sales revenue based on the predetermined quantity of the products.

12. The manufacturing planning method according to claim 9, wherein, The work time is the sum of the first work time (a fixed value) and the second work time (a variable value). The time for the first operation and the time for the second operation are determined separately.

13. The manufacturing planning method according to claim 12, wherein, The predetermined quantity includes a first predetermined quantity corresponding to the first operation time and a second predetermined quantity corresponding to the second operation time. The manufacturing plan includes: the manufacturing cost of the product based on the second operating time, and the sales revenue of the product based on the second predetermined quantity.

14. A manufacturing planning system for developing a manufacturing plan for a product manufactured by multiple entities performing sequential manufacturing processes. The manufacturing planning system has a first computing circuit. The first operational circuit, A first indicator value is determined to represent the extent of the replacement of the plurality of implementing entities during the first period. Based on the first indicator value, the change in proficiency of the multiple execution entities from the beginning of the first period is determined. Based on the change in proficiency, output the manufacturing plan for the product during the first period.

15. A program for causing the arithmetic circuit to perform the manufacturing planning method according to any one of claims 1 to 13.

16. An information terminal communicatively connected to the manufacturing planning system of claim 14. The information terminal includes: an input device, an output device, a communication device, and a second arithmetic circuit for controlling the input device, the output device, and the communication device. The second operational circuit, The input device accepts the input of the first index value. The first indicator value is sent to the manufacturing planning system via the communication device, and the manufacturing plan is received from the manufacturing planning system. The manufacturing plan is displayed through the output device.

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