JP5689714B2 - Production or logistics management apparatus and production or logistics management method - Google Patents

Description

  The present invention relates to a multivariate multivariate production / distribution management apparatus or production / distribution management method, and more particularly to a discrete simulation of production / distribution for visualizing production / distribution.

  In recent years, with the diversification of customer preferences, multivariate and multivariate production and logistics are applied in various industries. Here, multivariate and multivariate production / logistics includes not only the production of goods in factories, but also a wide range of goods, from supply to raw materials, which are called supply chains, and regular public transportation. .

  Such changes in the environment have a great influence on the management of production and logistics, and it is difficult to perform sufficient management and analysis with a conventional continuous simulation model. Therefore, in order to perform a simulation closer to reality and improve the management accuracy, a discrete simulation is applied as necessary (see Patent Document 1).

  On the other hand, there is “visualization” as a means of grasping the actual state of production / distribution in order to efficiently manage production / distribution. “Visualization” means to quantify or diagram the work flow, rules, amount, situation, problems, etc. so that they can be grasped immediately. This “visualization” enables information sharing, visualization, business standardization, rule creation, simplification, etc., and enables quick and accurate business processing and problem solving.

  One method of visualization is “things chart”. Here, “thing” is not limited to “article”, but refers to an object to be observed and managed in production / distribution simulation or management. The “things chart” uses various graphs and charts to visually represent the movement of “things” that can be understood from the data acquired from the object itself and the process. For various items related to “things”, various cut charts can be created and the movement of “things” can be grasped from various perspectives from a macro perspective.

JP 7-315284 A

  The above-described discrete simulation requires “rule formation” that defines how “things” are processed or the like with respect to elements through which the “things” as a target passes. As the scale of multivariate and multivariate targets expands, the number of constituent elements and processing increases, and enormous rules are required. In order to execute a simulation in which a large number of rules are set, not only a high calculation function is required, but also the calculation time is long. Furthermore, when the simulation model is complicated, the calculation result does not converge and the simulation may fail.

  On the other hand, the expansion of the scale of multivariate and multivariate targets complicates things charts, and visualization for improvement of business originally achieves the original purpose of grasping the movement of things There was a risk of not being able to.

  The present invention eliminates the enormous number of rules of discrete simulation and combines it with a real simulation by combining a discrete simulation and a “things chart” that contains “rules” of elements that pass through. -It aims at providing a physical distribution management apparatus or its method. Furthermore, an object of the present invention is to provide a production / distribution management analysis tool by creating a new “things chart” using the result of simulation.

  One aspect of the present invention for solving the above-described problem is that one type of multivariate multivariate production / distribution in which an article is processed through a plurality of types of processes based on a preset route. The process includes a plurality of facilities for performing the processing, and the article can be applied to an article production or distribution management apparatus that passes through one of the facilities of each process. In this aspect, the process data including the process time that is the time that one article spends in one process and the waiting time while moving from the one process to the next process is acquired for each article. A process data acquisition device that accumulates process data for each article, and a series of flow until the process is completed by inputting the process data through one process, moving time, next process, and further process. It is composed of a discrete production / distribution simulator that outputs a chart to each article.

  According to the above configuration, in the discrete type simulator in the prior art, each process and travel time are ruled in advance and a production / distribution simulation is executed. In this configuration, one article is processed in one process. Real time and time to move to the next process are acquired, and production / distribution simulation is executed using this as process data. The data structure of the process data includes the rule structure of the prior art. In other words, this process data includes various factors that have been elements of conventional discrete data, such as worker quality, occurrence of regular troubles, factory environment, route search, etc. It is macroscopic discrete data. Applying process data that includes rules in this way results in a simulation that is close to the actual situation and reduces the computational load, creating rules for various factors that were the problems of the prior art, and more complicated It is possible to eliminate the time required for the simulation calculation by a simple rule. As described above, the configuration described above is based on the input of process data measured in order to create a “things chart” in the past without pre-defining rules in executing discrete simulation. The flow can be reproduced.

  In one aspect of the present invention, the process data may include identification of the equipment and identification of a storage place where the article is stored while moving from the one process to the next process. .

  According to the said structure, "visualization" of the flow of goods can be improved by identifying an installation and a storage place. The improvement of “visualization” makes it possible to carry out multifaceted analysis of “things charts”.

  In one aspect of the present invention, the process data may be identified for each person in charge of the process.

  According to the said structure, the difference of the process data for every person in charge can be clarified, and an effective work procedure and the subject on work can be revealed.

  In one aspect of the present invention, the production / distribution simulator can output a string diagram (string drawing diagram) or a Gantt chart that spatially or three-dimensionally represents the route of the article.

  According to the said structure, a thing chart can be visualized according to the viewpoint to examine.

  In one aspect of the present invention, the process data acquisition device can be configured to extract the process data that exceeds a predetermined threshold for the process time or the waiting time.

  According to the configuration, an abnormal value can be extracted.

  One aspect of the present invention for solving the above-described problem is that one type of multivariate multivariate production / distribution in which an article is processed through a plurality of types of processes based on a preset route. The process includes a plurality of facilities for performing the processing, and the article can be applied to the production or distribution management method of the article via one of the facilities of each process. In this aspect, process data acquisition is performed for each article, including process time, which is the time spent for one article in one process, and waiting time while moving from the one process to the next process. The apparatus accumulates process data for each acquired article, and the discrete production / distribution simulator to which the process data is input is based on the input process data. It consists of a step of outputting a chart for each article, which charts a series of flows until the processing is completed through the next process and further processes.

  The present invention eliminates the enormous number of rules of discrete simulation and combines it with a real-time simulation by combining a discrete simulation with a “things chart” that contains “rules” of elements that pass through. A physical distribution management apparatus and method thereof can be provided. Furthermore, the present invention can provide a production / distribution management analysis tool by creating a new “things chart” using the result of simulation. As described above, the present invention can execute a highly accurate simulation and can realize quantitative “visualization” regardless of the ability and time of the computer.

It is a figure showing the factory where the analysis of the flow of things is performed for every fixed period. It is a figure showing a production area. It is a figure showing the conveyance path | route of the thing between AC process areas. It is a figure showing process data. It is a figure showing process data group. It is a figure showing a production / distribution simulator, a display device connected to this, and an input device. It is a figure showing the whole thing chart. It is a figure showing the thing chart according to equipment which paid its attention to specific equipment only in A process area. It is a figure showing the thing chart according to a kind. It is a figure showing the thing chart according to equipment in the specific process area which paid its attention only to the specific equipment of A process area. It is a figure showing an inventory graph. It is a figure showing a state and change table. It is a figure which shows the string diagram by which the movement path | route with the utilization condition of an installation and a storage place was represented. It is a figure showing the string diagram which enabled it to identify a movement path line for every carrier. It is a figure showing the flow from acquisition of process data to creation of a thing chart etc.

  FIG. 1 is an example of a factory that produces a variety of multivariate articles to which an embodiment of the present invention is applied. In the present embodiment, an intermediate process product (raw material, intermediate product, etc.) before completion that moves between the A process area 13 to the C process area 15 is called “thing”, but a term having such a meaning (for example, “ As long as it is an “article”, the name is not limited.

  The factory 10 includes a production area 11 for producing products by a variable-variable method, and a management area 12 for managing the flow of products in the production area 11. The production area 11 includes A to C process areas 13 to 15 for performing various productions, and first and second stock storage areas 16 and 17 for temporarily storing things. The product is transported in the order of the A process area 13, the first stock storage area 16, the B process area 14, the second stock storage area 17, and the C process area 15, and the production is completed when leaving the C process area 15. In this embodiment, the product is described as being completed through all the steps 13 to 15 in the production area 11, but it goes without saying that the present invention can be applied even if some of the intermediate steps are omitted. No.

  In the production area 11, production is also performed in each process area, and each inventory storage temporarily stores the product before entering the next process area. The time of entering and exiting each process area is recorded in the data storage server 20 as process data associated with setting information such as the product type. After accumulating process data for a certain period, the data accumulation server 20 transmits a process data group consisting of a large number of process data accumulated within the certain time to the production / distribution simulator 25 in the management area 12 through the network 22. The process data group may be directly transmitted to the production / distribution simulator 25 via a storage medium such as a USB memory without using the network 22.

  In the management area 12, the production / distribution simulator 25 creates a chart or the like used for analyzing the flow of goods based on the process data group from the data storage server 20 as a logistics management apparatus. The created chart or the like is displayed on a display device 26 such as a liquid crystal display. Note that an input device 27 such as a keyboard and a mouse is connected to the production / distribution simulator 25, and various analysis results are output in accordance with input instructions from the input device 27.

  As shown in FIG. 2, in the production area 11, an object is placed on the carriage 30 and moves between the A process area 13 to the C process area 15. A plurality of facilities (A1 to A21, B1 to B5, C1 to C16) are arranged in each of the A to C process areas, and the carriage 30 is carried into any one of the facilities in each process area. Each facility in each process area is given an identification number consisting of “process name + number” so that it can be understood which facility has been carried into. For example, in the case of the A process area, identification numbers such as A1 to A21 are given.

  In addition, the first and second inventory depots 16 and 17 are provided with a plurality of storage depots (P1 to P45, Q1 to Q45). Also in the first and second inventory depots, the cart 30 is temporarily stopped at any one storage depot in each depot as in the A to C process areas. Each storage site in each storage site is given an identification number so that it can be seen which storage site was stopped. For example, in the case of the first stock storage, identification numbers such as P1 to P45 are given.

  As shown in FIG. 3, in the production area 11, facilities and storage places in different processes are used for the production of a large number of products G1 to Gn (n is a natural number of 2 or more) having different varieties. Moreover, in the production area 11, the conveyance route of things is changed for every kind. For example, equipment A1, storage place P2, equipment B2, storage place Q1, and equipment C2 are used for production of thing G1, and G1 in this order is transported. On the other hand, equipment A1, storage place P1, equipment B1, storage place Q2, and equipment C1 are used for production of product G2, which is different from product G1, and G2 is transported in this order.

  As shown in FIG. 2, the transporter who moves the carriage 30 has a data acquisition terminal 32 for managing the flow of things. The data acquisition terminal 32 is preliminarily input with setting information regarding the type of goods to be carried by the carrier and the equipment and storage location to which the carrier is to be carried. The transporter operates the data acquisition terminal 32 when entering or leaving each facility in each process area. By this operation, the time when entering each facility (IN time) and the time when leaving each facility (OUT time) are recorded in the data acquisition terminal 32 in association with the setting information.

  When these IN time or OUT time is recorded in the data acquisition terminal 32, the data processing acquisition terminal 32a, based on all the IN time or OUT time recorded so far and the setting information associated with these times, Process data in which the identification number, IN time, and OUT time of equipment processed in each process and the storage storage identification number stored in each storage area are arranged in chronological order for a certain product type (see FIG. 4) To get. Therefore, the process time, which is the time spent in each process, can be obtained from the IN time and the OUT time in each process of this process data, and it is possible to move between processes from the OUT time of one process and the IN time of the next process. The waiting time can be determined. The data acquisition terminal 32 can wirelessly communicate with the data storage server 20, and when the production of the product is completed (when the product leaves the equipment in the C process area), the process data is transmitted to the data storage server 20 by wireless communication. Send to.

  For example, as shown in FIG. 3, a cart 30 is carrying a product “G1”, and G1 itself moves in the order of equipment A1, storage place P2, equipment B2, storage place Q1, equipment C2. 4, the process data 33 including “thing G1, IN time and OUT time of equipment A1, IN time and OUT time of equipment B2, IN time and OUT time of equipment C2” as shown in FIG. Sent to. From this process data 33, the process time of the A process (5 minutes), the process time of the B process (3 minutes), and the process time of the C process (5 minutes) can be obtained. Moreover, the waiting time (20 minutes) between A process and B process and the waiting time (12 minutes) between B process and C process can be calculated | required.

  The data storage server 20 creates a process data group 34 as shown in FIG. 5 based on the process data 33 from the data acquisition terminal 32. The process data group 34 is obtained by integrating the process data 33 acquired so far, and each data is arranged in chronological order. The later the time, the lower the position. The data storage server 20 transmits the process data group to the production / distribution simulator 25 via the network 22 when the process data group 34 for a predetermined period is obtained. In the present embodiment, the process data group is sent to the production / distribution simulator 25 in batch mode at regular intervals. Instead of this, the received process data is received as soon as the data storage server 20 receives the process data. May be transmitted to the production / distribution simulator 25.

  As shown in FIG. 6, the production / distribution simulator 25 includes a computer in which “WITNESS” (registered trademark), which is one of the production / distribution simulator software, is installed. The production / distribution simulator 25 includes a discrete simulation unit 37 that performs a discrete simulation of the flow of things based on the process data group 34 captured by the data capture unit 35 or various parameters input by the parameter input unit 36. Yes. In addition to the function of importing discrete data, the data capturing unit 35 has a function of requesting the data storage server 20 to send a process data group to the production / distribution simulator 25 at regular intervals. Yes. Thereby, the discrete simulation unit 37 can perform a discrete simulation in real time. Note that other applications other than “WITNESS” may be used for the production / distribution simulator 25 if the concept of the present invention is applied.

  The discrete simulation unit 37 includes a first processing unit 40 that performs a discrete simulation using the process data group 34 and a second processing unit 41 that performs a discrete simulation based on various input parameters. The first processing unit 40 creates a thing chart or the like by a thing chart creating unit 42, an inventory graph creating unit 43, a state / change table creating unit 44, and a string diagram creating unit 45. In addition, the first processing unit 40 includes a data correction unit 46 that corrects the process data group according to a correction instruction from the input device 27. In addition, since the process data group 34 is continuously transmitted for every fixed period, the 1st process part 40 can produce a thing chart etc. in real time, and can display the produced thing chart etc. on the display apparatus 26. FIG.

  As shown in FIG. 7, the thing chart creation unit 42 creates lead time bars 50 to 53 corresponding to the lead times in each facility and in each storage place, as shown in FIG. 7, from each process data in the process data group 34. The created lead time bars 50 to 53 are arranged in a two-dimensional space on the vertical axis “product type” and the horizontal axis “time” so that the earlier the start of production, the lower the position. The created chart 55 is displayed on the display device 26. In the present embodiment, the time from entering each process area or each inventory storage until coming out is called a lead time.

  In this way, the lead time at each facility and at each storage location is represented by the length of the lead time bar, so that the lead time can be visually grasped. In addition, by arranging the lead term bars in time series on the object chart, it becomes easy to grasp the temporal relationship of all the objects produced in the production area. Therefore, it can be determined from the thing chart whether things are flowing in order (as per the rules). Also, it is possible to judge whether the flow of things is good or bad. For example, in the case of the thing G2, as shown by the lead time bar 52, it can be seen that the flow of the thing G2 is worse because the processing in the equipment B5 takes a long time. On the other hand, if a discrete simulation is performed by setting a rule as in the prior art, a processing delay in the facility B5 may not be reflected in the lead time bar 52.

  Moreover, the thing chart preparation part 42 paid its attention to the specific equipment only within a certain process area as shown in FIG. 8 according to the objective as well as the whole thing chart in which all the lead time bars were represented. An equipment-specific chart 56 (focusing on the equipment A1 only in the process A area in FIG. 8 (also referred to as Gantt chart)), or a product-specific chart 57 focusing on a specific product type as shown in FIG. Can be created. Furthermore, as shown in FIG. 10, a chart 58 for each facility in a specific process area focusing only on a specific facility in a certain process (in FIG. 10, focusing only on the facility A1 in the A process area) is also created. can do. By using such charts 56 to 58, it becomes easier to perform selective evaluation as compared with the prior art, and the evaluation is based on “time” in which various factors of the process are included as results. Because it is accurate.

  The equipment-specific chart 56 is obtained by extracting the lead time bar including the equipment to be analyzed from the overall chart. Similarly, the product-specific chart 57 is obtained by extracting the lead time bar for the product to be analyzed from the overall chart. Further, the equipment-specific chart 58 in the specific process area extracts the lead time bar including the equipment to be analyzed from the overall chart, and the lead other than the equipment to be analyzed out of the extracted lead time bar. Obtained by deleting time.

  In this manner, in addition to the overall chart, by using the equipment-specific chart 56, the product-specific chart 57, and the equipment-specific chart 58 in a specific process area, the flow of things can be viewed from various viewpoints. You can grasp the trend. For example, from the equipment-specific chart 58 in the specific process area, it can be seen that the next production of the product G1 has started after the first batch is completely consumed. In addition, when the produced items are consumed in order, the chart for each product type becomes an inverted triangle shape. However, if it is not consumed in order, the inverted triangle shape collapses and only one lead time bar is displayed. A phenomenon of popping out occurs.

  The stock graph creation unit 43 creates a stock graph 60 representing the stock status of the product at each time as shown in FIG. 11 from the overall product chart created by the product chart creation unit 42. The inventory graph 60 is obtained by counting the number of lead time bars in the overall chart 61 for each time. By using this inventory graph 60, a specific analysis of inventory such as which time zone should be reduced or how to produce and transport in order to average inventory over all time zones. It can be carried out. For example, by picking up a time zone with a large stock quantity from the stock graph 60 and analyzing in detail the lead time bar in the picked up time zone, it is possible to find a solution to reduce the stock. The inventory graph can be created not only from the chart but also from the process data group 34.

  The state / change table creating unit 44 uses the process data group 34 to create a state / change table 62 in which state information and change information of things are arranged in time series as shown in FIG. The created state / change table 62 is displayed on the display device 26. The state information indicates which equipment or storage place all the objects in the production area are located at a certain time. The state information is expressed as “state 1, state 2...”, And the larger the number, the later the time. The change information indicates which kind of all things in the production area move at a certain time, and from which equipment or storage place the moving thing moves to which equipment or storage place. ing. The change information is expressed as “change 1, change 2,...”, And the larger the number, the later the time.

  By using the state / change table 62, it is possible to grasp not only the change information indicating the movement status of the object but also the state information indicating whether or not the object is moving over the entire time. For example, in the state 1 at the time “10:00”, it can be seen that there are a thing G1 located in the equipment A1 and a thing G3 located in the equipment B1 in the production area. Then, at time “10:05” after 5 minutes, a change 1 occurs in which the thing G1 moves from the facility A1 to the storage place P2. This change 1 occurs to create state 2. From this state 2, in addition to the fact that the thing G1 has moved to P2, it can also be understood that the thing G3 has stayed at B1 and has not moved.

  The string diagram creation unit 45 creates a string diagram 65 from the state / change table 62, in which the equipment and the storage path along with the usage status of the storage place are graphically illustrated as shown in FIG. In the string diagram 65, when the equipment or storage place is used, it is indicated with hatching H, and when it is not used, it is indicated without hatching H. Moreover, the movement path | route of a thing is represented by the movement path | route line L which connects between an installation and a storage place. The string diagram can be created from the process data group 34 as well as the state / change table. The string diagram creation unit 45 can also create a three-dimensional string diagram that is three-dimensionally represented in addition to a two-dimensional string diagram that planarly represents the movement path of the object.

  A string diagram 65 shown in FIG. 13 represents the movement path of the state 1 to the state 5 in the state / change table 62 and the usage status of the equipment and the storage place in the state 5. Thus, since the string diagram 65 is a graphic representation of the state / change table 62, it becomes easy to grasp the change information and state information of the object.

  The string diagram creating unit 45 adds a carrier information to the process data group 34 to create a string diagram 70 that can identify a movement route line for each carrier as shown in FIG. it can. In the string diagram 70, the straight movement route line LS represents the transportation route of the carrier X, and the one-dot chain movement route line LC represents the transportation route of the carrier Y. In order to add the carrier information to the process data group 34, the data acquisition terminal 32 needs to associate the process data 33 with the carrier information.

  From the string diagram 70 in FIG. 14, it is possible to grasp the transport tendency of the transporter. For example, it is possible to grasp which transport vehicle is mainly transporting which area, and the carrier X mainly transporting in the first region 72 is in the first region only at a certain time. It can also be grasped that the vehicle travels back and forth in the second region 73 far away from 72. When such a situation is grasped, the data correction unit 46 corrects the process data group in the data correction unit 46 so that the transporter X transports only in the first region 72, Further, it is possible to take an improvement measure for changing the setting information in the data acquisition terminal 32 (for example, the equipment or the storage location of the transportation destination). The data correction unit 46 may extract process data that exceeds a certain threshold with respect to the process time and the waiting time from the process data group. The extracted process data is displayed on the display device 26 to notify that there is an abnormality in the flow of things.

  The second processing unit 41 performs a queue type simulation based on the input various parameters. As various parameters, there are the types of items handled by each facility, the standard cycle time in each facility, the switching time required to switch to another type, and the parameters related to the transportation of items such as transportation time, transportation location, There is information on transport units, transport units and transport areas. These parameters are all necessary for the second processing unit 41 to perform a simulation.

  Also in the 2nd process part 41, a thing chart etc. can be obtained similarly to the 1st process part 40 as a result of simulation. However, since the chart etc. obtained by the second processing unit 41 is created based on parameters determined empirically from past inventory analysis and flow analysis of goods, The flow may not be reflected. In particular, when a variant variable method is employed as in the present embodiment, the possibility that it is not reflected becomes higher. On the other hand, since the charts etc. obtained by the first processing unit 40 are created based on the process data group obtained at the actual site, the rules and situations occurring at the site are surely confirmed. It is reflected. Therefore, the flow of things can be reliably analyzed.

  Next, a flow from acquisition of process data to creation of a chart or the like will be described with reference to the flowchart of FIG. What is produced in the production area 11 is moved between the A process area 13, the first inventory storage area 16, the B process area 14, the second inventory storage area 17, and the C process area 15 by the carriage 30. In each process area, production is performed at any of the facilities, and at each stock storage, the storage at any storage is temporarily stored. The carrier records the IN time at the time of entering the equipment in the data acquisition terminal 32 by operating the data acquisition terminal 32 when the goods are carried into the equipment in each process area. In addition, the transporter records the OUT time when leaving the facility in the data obtaining terminal 32 by operating the data obtaining terminal 32 when the object is unloaded from the facility.

  Acquired all the IN time and OUT time in each equipment in the A to C process areas, and when the thing left the equipment in the C process area, associated the setting information such as the product type with both the IN time and the OUT time. Discrete process data 33 is transmitted to the data storage server 20. The data storage server 20 creates a process data group 34 from the process data 33 acquired so far for the transmitted process data. When the acquisition of the process data 33 for a predetermined period is completed, the data storage server 20 transmits the process data group to the production / distribution simulator 25.

  In the production / distribution simulator 25, the process data group 34 from the data storage server 20 is received by the data capturing unit 35. The first processing unit 40 of the discrete type simulation unit 37 creates a thing chart and the like based on the received process data group 34. In the first processing unit 40, a thing chart 55 (or 56, 57), an inventory graph 60, a state graph, and a state / change table creation unit 44, a state / change table creation unit 44, and a string diagram creation unit 45 are used. A change table 62 and a string diagram 65 (or 70) can be created. Which one is to be created is determined based on an instruction from the input device 27. The created chart or the like is displayed on the display device 26. The inventory graph 60 can be created based not only on the process data group 34 but also on the state / change table 62.

  In this embodiment, the flow of the factory is analyzed. However, the present invention is not limited to this, and the analysis is performed at a place other than the factory (for example, a research institution such as a university or an affiliated company that has business with the factory). You may go.

  The preferred embodiments of the present invention have been described above. The present invention is not limited to the one described in the drawings, and design changes can be made without departing from the spirit of the present invention.

  The technical idea of the present invention can be applied to a wide variety of industrial fields such as the manufacture of goods in factories, the distribution of goods from raw materials to customers, which is called the supply chain, and public transportation for regular service.

10 factory 25 production / distribution simulator 32 data acquisition terminal 33 process data 34 process data group 42 thing chart creation unit 43 inventory graph creation unit 44 state / change table creation unit 45 string diagram creation unit 46 data correction unit 55 to 57 thing chart 60 Stock graph 62 State / change table 65, 70 String diagram A1-A21, B1-B5, C1-C16 Equipment P1-P45, Q1-Q45 Storage location

Claims (8)

In multivariate and multivariate production / distribution in which articles are processed through a plurality of types of processes based on preset routes, one type of process includes a plurality of facilities for the processing, The article is an article production or distribution management device that goes through one of the facilities of each process,
Process data including process time, which is the time that one article spends in one process, and waiting time while moving from the one process to the next process is acquired for each article, and the process for each acquired article A process data acquisition device for accumulating data;
By inputting the process data, a chart that shows a series of flow until the processing is completed through one process, travel time, next process, and further process is output to each article. An article production or distribution management device comprising: a discrete type production / distribution simulator.   2. The article production or distribution management apparatus according to claim 1, wherein the process data includes identification of the equipment.   The production of the article according to claim 1 or 2, wherein the process data includes an identification of a storage place where the article is stored while moving from the one process to the next process. Logistics management device.   4. The article production or physical distribution management device according to claim 1, wherein the process data is identified for each person in charge of the process.   5. The article according to claim 1, wherein the production / distribution simulator outputs a string diagram (string drawing diagram) representing a path of the article spatially or three-dimensionally. Production or logistics management equipment.   6. The article production or distribution management apparatus according to claim 1, wherein the production / distribution simulator outputs a Gantt chart.   7. The article production according to claim 1, wherein the process data acquisition device extracts the process data that exceeds a predetermined threshold with respect to the process time or the waiting time. Or logistics management device. In multivariate and multivariate production / distribution in which articles are processed through a plurality of types of processes based on preset routes, one type of process includes a plurality of facilities for the processing, The article is a production or distribution management method of an article via one of the facilities of each process,
A process data acquisition device that acquires process data for each article, including process time, which is the time spent by one article in one process, and waiting time while moving from the one process to the next process, is acquired. Storing process data for each article
Based on the input process data, the discrete production / distribution simulator to which the process data is input is a series of processes until the product is completed through one process, travel time, next process, and further process. A method for producing or distributing goods, comprising: a step of outputting a chart for each article, the chart representing the flow.

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