JP5957323B2 - Line balance improvement measure providing device, line balance improvement measure extraction method, and line balance improvement measure extraction program - Google Patents

Description

  The present invention relates to a line balance improvement measure providing apparatus, a line balance improvement measure extraction method, and a line balance improvement measure extraction program.

  2. Description of the Related Art Conventionally, various industrial sewing machines for dealing with various sewing methods are arranged in a sewing factory, and an operator operates the industrial sewing machine to produce a product subjected to sewing. In general, products produced in a sewing factory are divided into a plurality of work processes according to the parts and the sewing method, and a plurality of operators share each work process and engage in the sewing work. In the case of performing work in such a manner, if the work process of some operators is delayed and the flow of the production line is stagnated, “in-process” accumulates and productivity is lowered. For this reason, avoiding the stagnation of the flow of the production line is necessary for improving productivity and stable supply of products.

  For example, Patent Document 1 discloses a line balance management device for a production line. This line balance management device records the time required for one operation process by each operator as operation record data when a plurality of operators share a plurality of operation processes belonging to a sewing operation for manufacturing one product. deep. And this line balance management apparatus calculates and totals the total time (actual work time) each operator engages in work until one product is completed based on the work record data. The actual work time for each operator counted by the line balance management device is used, for example, when the line balance is reviewed in the sewing factory.

JP-A-4-13546

  In Patent Document 1, an operator whose work is stagnant in a production line can be specified based on the actual work time for each operator, but does not actively provide an improvement measure for improving line balance. For this reason, when reviewing the line balance in a garment factory, it is necessary to rely on the rules of thumb of production managers and the like, and in some cases, a rapid response cannot be made.

  An object of the present invention is to provide a line balance improvement measure providing apparatus, a line balance improvement measure extraction method, and a line balance improvement measure extraction program capable of quickly providing a line balance improvement measure.

  As one aspect, the line balance improvement measure providing apparatus provides a line balance improvement measure that provides an improvement measure for improving the line balance of a production line that produces a product by sharing a plurality of work processes with a plurality of operators. An apparatus, for each production line, associated with a line identifier that uniquely identifies the production line, at least a product identifier that uniquely identifies a product produced by the production line, and the production line A production line information storage unit for storing personnel configuration information indicating a personnel configuration of an operator, and the product identifier recorded in time series by a plurality of industrial sewing machines arranged in the production line for each production line, Sewing machine identifier for uniquely identifying an industrial sewing machine, operator identifier for uniquely identifying the operator, and the operator A work process identifier for uniquely identifying a work process performed by the data collector, a collection unit for collecting operation information of the industrial sewing machine, the product identifier collected for each production line by the collection unit, and the sewing machine The work history data storage unit that stores the identifier, the operator identifier, the work process identifier, and the operation information of the industrial sewing machine as work history data in association with the line identifier, and the improvement measure inquiry The production line information storage unit refers to the product identifier associated with the line identifier for identifying the first production line corresponding to the inquiry transmission source, and the same as the personnel configuration information. If there is a second production line associated with the product identifier and the personnel configuration information, the second production line An acquisition unit for acquiring the work history data associated with the line identifier for identifying a job from the work history data storage unit, and the work process identifier included in the work history data acquired by the acquisition unit. Then, it is determined whether or not the second production line includes a third production line with a trace of the change of the work process. As a result of the determination, the third production line is If included in the second production line, an extraction unit that extracts the work history data corresponding to the third production line from the work history data acquired by the acquisition unit; Based on the work history data extracted by the extraction unit, a calculation unit that calculates a production amount of the product before and after the change of the work process for the third production line, The production amount of the product before and after the change of the work process calculated by the calculation unit is compared with each other, and the production amount after the change of the work process is larger than the production amount before the change of the work process When the fourth production line is included in the third production line, the response including the contents of the work process change in the fourth production line is returned to the sender of the inquiry. And a policy providing unit.

  In one aspect, the line balance improvement measure extraction method provides a line balance improvement measure that provides an improvement measure to improve the line balance of a production line that produces a product by sharing a plurality of work processes with a plurality of operators. A line balance improvement measure extraction method for causing a device to execute, when an inquiry about the improvement measure is received, is produced by at least the production line in association with a line identifier that uniquely identifies the production line. Corresponding to the transmission source of the inquiry with reference to the production line information storage unit for storing the product identifier for uniquely identifying the product and the personnel configuration information indicating the personnel configuration of the operator in the production line for each production line The product identifier and the person associated with the line identifier for identifying the first production line to be If there is a second production line associated with the product identifier and the personnel composition information identical to the configuration information, obtaining the line identifier corresponding to the second production line; and the production The product identifier recorded in time series on a plurality of industrial sewing machines arranged in a line, a sewing machine identifier that uniquely identifies the industrial sewing machine, an operator identifier that uniquely identifies the operator, and is implemented by the operator The line that identifies the second production line from the work history data storage unit that stores work history data including work information that uniquely identifies a work process and operation information of the industrial sewing machine. A step of acquiring the work history data associated with the identifier; and included in the acquired work history data A step of determining whether or not the second production line includes a third production line having a trace of the change of the work process based on the work process identifier; and a result of the determination When the third production line is included in the second production line, the work history data associated with the line identifier for identifying the second production line is selected from the work history data. Extracting the work history data corresponding to the third production line, and changing the work process for the third production line based on the extracted work history data corresponding to the extracted third production line. And calculating the production amount of the product before and after the change, and comparing the calculated production amount of the product before and after the change of the work process, and the production after the change of the work process When the fourth production line whose amount is larger than the production amount before the change of the work process is included in the third production line, the change of the work process in the fourth production line Returning a response including the content to the sender of the inquiry.

  The line balance improvement measure extraction program provides, as one aspect, a line balance improvement measure that provides an improvement measure for improving the line balance of a production line that produces a product by sharing a plurality of work processes with a plurality of operators. A product identifier uniquely identifying at least a product produced by the production line in association with a line identifier uniquely identifying the production line when the device receives an inquiry for the improvement measure, and the production The line identifier for identifying the first production line corresponding to the transmission source of the inquiry is referred to the production line information storage unit that stores the personnel configuration information indicating the personnel configuration of the operator in the line for each production line. The product identifier and the personnel that are the same as the associated product identifier and the personnel configuration information When there is a second production line associated with the production information, the step of obtaining the line identifier corresponding to the second production line, and a plurality of industrial sewing machines arranged on the production line The product identifier recorded in time series, a sewing machine identifier that uniquely identifies the industrial sewing machine, an operator identifier that uniquely identifies the operator, a work process identifier that uniquely identifies a work process performed by the operator, And the work history data associated with the line identifier for identifying the second production line from the work history data storage unit that stores work history data including operation information of the industrial sewing machine for each production line. And acquiring the second production level based on the work process identifier included in the acquired work history data. Determining whether or not the third production line in which the work process is changed is included in the process, and, as a result of the determination, the third production line is the second production line If included, the work history data corresponding to the third production line is extracted from the work history data associated with the line identifier for identifying the second production line. And, based on the work history data corresponding to the extracted third production line, calculating the production amount of the product before and after the change of the work process for the third production line, The calculated production amounts of the product before and after the change of the work process are compared with each other, and the fourth production amount after the change of the work process is larger than the production amount before the change of the work process. If a production line is included in the third production line, a response including the contents of the work process change in the fourth production line is returned to the inquiry sender. Let

  The line balance improvement measure providing apparatus, the line balance improvement measure extraction method, and the line balance improvement measure extraction program according to the present invention have an effect that a line balance improvement measure can be provided quickly.

FIG. 1 is a diagram illustrating an example of the overall configuration according to the embodiment. FIG. 2 is a diagram for explaining the outline of the processing according to the first embodiment. FIG. 3 is a diagram illustrating an example of a line balance improvement measure request screen. FIG. 4 is a diagram illustrating an example of a functional configuration of the line balance improvement measure providing apparatus according to the first embodiment. FIG. 5 is a diagram illustrating an example of a data configuration of the production line database according to the first embodiment. FIG. 6 is a diagram illustrating an example of a data configuration of the work history database according to the first embodiment. FIG. 7 is a diagram illustrating an example of data elements included in the work history data according to the first embodiment. FIG. 8 is a diagram illustrating an example of a product according to the first embodiment. FIG. 9 is a diagram showing an example of a series of work steps when the product shown in FIG. 8 is produced. FIG. 10 is a diagram illustrating an example of a line configuration of a production line that produces the product illustrated in FIG. 8. FIG. 11 is a diagram illustrating an example of a processing procedure performed by the line balance improvement measure providing apparatus according to the first embodiment. FIG. 12 is a diagram illustrating an example of a line balance improvement measure list according to the first embodiment. FIG. 13 is a diagram for explaining the outline of the processing according to the second embodiment. FIG. 14 is a diagram illustrating an example of a functional configuration of the line balance improvement measure providing apparatus according to the second embodiment. FIG. 15 is a diagram illustrating an example of a data configuration of a production line database according to the second embodiment. FIG. 16 is a diagram illustrating an example of a pitch diagram according to the second embodiment. FIG. 17 is a diagram illustrating an example of a processing procedure performed by the line balance improvement measure providing apparatus according to the second embodiment. FIG. 18 is a diagram for explaining the outline of the processing according to the third embodiment. FIG. 19 is a diagram illustrating an example of a processing procedure performed by the line balance improvement measure providing apparatus according to the third embodiment. FIG. 20 is a diagram for explaining the outline of the processing according to the fourth embodiment. FIG. 21 is a diagram illustrating an example of a data configuration of a production line database according to the fourth embodiment. FIG. 22 is a diagram illustrating an example of a processing procedure performed by the line balance improvement measure providing apparatus according to the fourth embodiment. FIG. 23 is a diagram illustrating an example of a processing procedure performed by the line balance improvement measure providing apparatus according to the fourth embodiment.

  Embodiments of a line balance improvement measure providing apparatus, a line balance improvement measure extraction method, and a line balance improvement measure extraction program according to the present invention will be described below in detail with reference to the drawings. Note that the present invention is not limited to the embodiments. Further, the constituent elements in this embodiment include those that can be easily assumed by those skilled in the art, those that are substantially the same, and those in the so-called equivalent range. In the embodiment described below, a service in which an industrial sewing machine maker provides a line balance improvement measure to a garment factory will be described as an example of a service form that can be implemented. However, the present invention is not limited to this form. In the following embodiments, the identification information for identifying various types of information at the industrial sewing machine manufacturer and the sewing factory is information that can be commonly recognized between the industrial sewing machine manufacturer and the sewing factory. .

[Overall configuration of the embodiment]
First, the overall configuration according to the embodiment will be described. FIG. 1 is a diagram illustrating an example of the overall configuration according to the embodiment. As shown in FIG. 1, for example, a line balance improvement measure providing device 100 possessed by an industrial sewing machine maker 1 and a garment factory terminal 200 used in a garment factory 20 can communicate via the Internet 5. Connected in state. Similarly, the line balance improvement measure providing device 100 can communicate with the garment factory terminal 300 used at the garment factory 30 and the garment factory terminal 400 used at the garment factory 40 via the Internet 5. Connected with.

  The industrial sewing machine maker 1 is a manufacturer of industrial sewing machines introduced into, for example, sewing factories 20 to 40. The sewing factories 20 to 40 are, for example, factories that produce a sewing product by sharing a plurality of work processes with a plurality of operators.

  The line balance improvement measure providing apparatus 100 and the garment factory terminals 200 to 400 are information processing apparatuses such as servers, workstations, and personal computers.

  The sewing factories 20 to 40 have a plurality of production lines for producing a sewing product by sharing a plurality of work processes with a plurality of operators. In the production line, an industrial sewing machine used for carrying out a work process for producing a sewn product is introduced. For example, as shown in FIG. 1, a plurality of industrial sewing machines such as sewing machines 20 a to 20 c and 20 e to 20 g are introduced into the garment factory 20. In the sewing machines 20a to 20c, 20e to 20g, data of work performed by an operator is recorded. The garment factory terminal 200 manages data of work recorded in each sewing machine such as the sewing machines 20a to 20c and 20e to 20g. Similarly, the garment factory terminal 300 manages data of work recorded on each sewing machine such as the sewing machines 30a to 30c and 30e to 30g. Similarly, the garment factory terminal 400 manages data of work recorded in each sewing machine such as the sewing machines 40a to 40c and 40e to 40g.

  The line balance improvement measure providing apparatus 100 collects work data recorded in each sewing machine from the garment factory terminals 200 to 400 as work history data, and manages it for each production line.

  The outline of the processing according to the first embodiment will be described with reference to FIG. FIG. 2 is a diagram for explaining the outline of the processing according to the first embodiment.

  As shown in FIG. 2, the garment factory terminals 200 to 400 are connected to, for example, a homepage published by the industrial sewing machine maker 1 and access the line balance improvement measure request screen from the homepage (step S11). The line balance improvement measure providing apparatus 100 transmits a line balance improvement measure request screen in response to a request from the garment factory terminals 200 to 400 (step S12).

  Subsequently, the garment factory terminals 200 to 400 display a line balance improvement measure request screen on a display or the like. FIG. 3 is a diagram illustrating an example of a line balance improvement measure request screen. As shown in FIG. 3, the line balance improvement measure request screen has an input box for accepting input of a user ID and a password, a start button for sending a request for line balance improvement measure, and a return to the homepage. A cancel button is provided. Users of the sewing factory terminals 200 to 400 can perform a user ID and password input operation, a start button, and a cancel operation using a user interface such as a mouse or a keyboard. It is assumed that the users of the garment factory terminals 200 to 400 have previously accessed the home page of the industrial sewing machine maker 1 and have previously registered the user ID and password.

  When the sewing factory terminals 200 to 400 accept the start button operation after the user ID and password are input on the line balance improvement measure request screen, the garment factory terminals 200 to 400 send a line balance improvement measure request to the line balance improvement measure providing apparatus 100. Transmit (step S13).

  When receiving the inquiry about the line balance improvement measure, the line balance improvement measure providing apparatus 100 performs user authentication based on the user ID and the password, and the work history data of the production line with the same number of products and operators as the request source production line. An improvement measure extraction process based on the above is executed (step S14). The work history data and the contents of the extraction process will be described in detail later.

  Subsequently, the line balance improvement measure providing apparatus 100 applies the line balance improvement measure to the garment factory terminals 200 to 400 based on the result of the improvement measure extraction process based on the work history data of the production line having the same number of products and operators. Transmit (step S15).

  As described above, the line balance improvement measure providing apparatus 100 according to the first embodiment can provide a measure for improving the line balance based on the work history data of the production line having the same number of products and operators.

[Functional Configuration According to Embodiment 1]
FIG. 4 is a diagram illustrating an example of a functional configuration of the line balance improvement measure providing apparatus according to the first embodiment. As shown in FIG. 4, the line balance improvement measure providing device 100 is connected to the garment factory terminals 200 to 400 via the Internet 5 in a communicable state. The line balance improvement measure providing apparatus 100 includes a communication unit 110, a storage unit 120, and a control unit 130. FIG. 4 shows only components necessary for realizing the function of the line balance improvement measure providing apparatus according to the first embodiment.

  The communication part 110 controls the communication regarding the exchange of various information performed between the garment factory terminals 200-400.

  The storage unit 120 includes a production line database 120a and a work history database 120b.

The production line database 120a stores information regarding each production line of the garment factories 20 to 40. FIG. 5 is a diagram illustrating an example of a data configuration of the production line database according to the first embodiment. As shown in FIG. 5, the production line database 120a stores a production line ID (line identifier), a product ID (product identifier), personnel configuration information, and line configuration information in association with each garment factory. The production line ID is information for uniquely identifying the production line that the garment factory has. The product ID is information for uniquely identifying a product produced in the corresponding production line. The personnel configuration information is information on the number of operators who perform work on the corresponding production line. The line configuration information is information indicating a flow of a series of work steps performed by each operator in the corresponding production line. For example, in the example shown in FIG. 5, it can be seen from the product ID that the product ID “001” is produced in the production line with the production line ID “20L ₁ ” among the production lines of the garment factory 20. . Further, in the example shown in FIG. 5, it is understood from the personnel configuration information that six operators are working on the production line with the production line ID “20L ₁ ”. Furthermore, in the example shown in FIG. 5, when the process ID (work process identifier) for uniquely identifying the work process performed by the operator on the production line is represented by “P _x (x is a natural number)”, the line configuration information Thus, it is understood that the work processes from “P _{1 to} P ₁₁ ” are shared by six operators in the production line with the production line ID “20L ₁ ”. Further, according to the line configuration information, in the production line with the production line ID “20L ₁ ”, (P ₁ , P ₂ ), P ₃ , (P ₄ , P ₅ ), (P ₅ , P ₆ ), (P ₇ , It can be seen that _one operator is assigned to each process of P ₈ , P ₉ ) and (P ₁₀ , P ₁₁ ), and the work proceeds in the order of P ₁ → P ₁₁ .

As shown in FIG. 5, the production line ID “20L ₁ ” of the garment factory 20, the production line ID “30L ₁ ” of the garment factory 30, and the production line ID “40L ₁ ” of the garment factory 40 The production line has the same combination of product (ID) and personnel configuration information (number of operators). Further, as shown in FIG. 5, the line configuration of the production line with the production line ID “30L ₁ ” of the garment factory 30 has been changed.

  In the first embodiment, the production line database 120a stores in advance information about each production line of the garment factories 20 to 40, except for the changed line configuration information. The line configuration information after the change is such that if there is a change in the line configuration, the changed line configuration information is transmitted to the garment factory terminal of each garment factory, and the control unit that has received the changed line configuration information. 130 may be stored in the production line database 120a. Alternatively, when the control unit 130 detects a change in the line configuration based on work history data stored in the work history database 120b described later, the line configuration information regarding the changed line configuration is stored in the production line database 120a. You may make it store.

The work history database 120b (work history data storage unit) stores work history data related to a work history performed by an operator in the production line of each sewing factory. The work history data is data recorded by a sewing machine arranged on the production line in the sewing factory. The work history data is collected from the sewing factory terminal at a predetermined timing by the collection unit 130a described later. FIG. 6 is a diagram illustrating an example of a data configuration of the work history database according to the first embodiment. As shown in FIG. 6, the work history database 120b stores production line IDs (line identifiers) and work history data in association with each other. The work history data is stored for each sewing machine in which work data is recorded. For example, “D _20a , D _20b , D _20c ” and the like are stored as work history data in the production line ID “20L ₁ ”. The work history data “D _20a ” corresponds to work data stored by the sewing machine 20 a arranged in the production line with the production line ID “20L ₁ ” of the garment factory 20. The work history data “D _20b ” corresponds to work data stored by the sewing machine 20 b arranged in the production line with the production line ID “20L ₁ ”. The work history data “D _20c ” corresponds to work data stored by the sewing machine 20 c arranged in the production line with the production line ID “20L ₁ ”. For example, “D _20e , D _20f , D _20g ” and the like are stored as work history data in the production line ID “20L ₂ ”. The work history data “D _20e ” corresponds to work data stored by the sewing machine 20 e arranged in the production line with the production line ID “20L ₂ ” of the garment factory 20. The work history data “D _20f ” corresponds to work data stored by the sewing machine 20 f arranged in the production line with the production line ID “20L ₂ ”. The work history data “D _20g ” corresponds to work data stored by the sewing machine 20 g arranged in the production line with the production line ID “20L ₂ ”. The same applies to the production lines with the production line IDs “30L ₁ ”, “30L ₂ ”, “40L ₁ ”, and “40L ₂ ” shown in FIG.

FIG. 7 is a diagram illustrating an example of data elements included in the work history data according to the first embodiment. As shown in FIG. 7, for example, work history data D _x (X corresponds to 20a to 20c, 30a to 30c, 40a to 40c, etc. See FIG. 6) includes a product ID (product identifier) and a sewing machine ID. (Sewing machine identifier), operator ID (operator identifier), process ID (process identifier), and operation information are included. The sewing machine ID is information for uniquely identifying the sewing machine. The operator ID is information that uniquely identifies the operator. The process ID is information for uniquely identifying a work process performed by an operator on the production line. The product ID, operator ID, and process ID are manually input by the operator at the sewing machine before the work starts. The sewing machine ID is automatically inserted by the sewing machine when the work history data is recorded on the sewing machine. The operation information is inserted by the sewing machine. The operation information includes the time when the power was introduced to the sewing machine, the time when the sewing machine was started, the time when the sewing machine was stopped, the number of stitches that were sewn by the sewing machine, the time when the thread was cut, and the main spindle of the sewing machine. Information such as rotation speed is included. The rotational speed of the main shaft of the sewing machine can be used as information for evaluating the speed of sewing using the sewing machine, for example. Generally, the greater the number of stitches and the faster the sewing speed, the more difficult the work is judged to be.

The product ID, sewing machine ID, operator ID, and process ID included in the work history data are basically not changed, but new information is recorded only when the change is made. Product, rather than changing the operator, the sewing machine, when a change of only step of the operator in charge is performed, step ID is manually inputted by the operator, for example, as d ₁ in FIG. 7, the new process ID work Recorded on the sewing machine as history data.

  In addition to the production line database 120a and the work history database 120b described above, the storage unit 120 stores programs and data necessary for various processes by the control unit 130. All or part of the program and data stored in the storage unit 120 may be stored in a storage medium that can be read by a medium reading unit (not shown in FIG. 4). Alternatively, all or part of the program and data stored in the storage unit 120 may be acquired from another device through communication by the communication unit 110.

  The control unit 130 includes an arithmetic device such as a CPU (Central Processing Unit) and a storage device such as a memory used by the arithmetic device for processing, and is stored in the storage unit 120 using these hardware resources. Various functions are realized by executing the program. Specifically, the control unit 130 reads out a program stored in the storage unit 120 and develops the program in the storage device, and causes the arithmetic device to execute an instruction included in the program expanded in the storage device. Then, the control unit 130 reads / writes data from / to the storage device and the storage unit 120, processes data, and controls the operation of the communication unit 110 and the like according to the execution result of the instruction by the arithmetic unit. Send data to the outside.

  As shown in FIG. 4, the functions realized by the control unit 130 include a collection unit 130a, an acquisition unit 130b, an extraction unit 130c, a calculation unit 130d, and an improvement measure providing unit 130e.

  The collection unit 130a collects work data on the production line from each garment factory at a predetermined timing, and stores the collected data in the work history database 120b as work history data. The collection unit 130a, for example, once a day at a predetermined time from the garment factory terminals 200 to 400, the production line ID, work history data (product ID, sewing machine ID, operator ID, process ID, and operation information) ) Are collected. Then, the collection unit 130a stores the work history data in the work history database 120b in association with the production line ID.

  When the acquisition unit 130b receives an inquiry about a line balance improvement measure from the garment factory terminals 200 to 400 or the like, the acquisition unit 130b refers to the production line database 120a and stores the inquiry in the garment factory where the garment factory terminal that transmitted the inquiry is installed. It is determined whether or not there is a production line associated with the product ID of the product produced on the production line and the personnel configuration information on the corresponding production line, and the same product ID and personnel configuration information. As a result of the determination, if there is a production line associated with the same product ID and personnel configuration information as the product ID and personnel configuration information corresponding to the inquiry transmission source, the production line ID for identifying the corresponding production line is set. get. Subsequently, the acquisition unit 130b acquires work history data associated with the acquired production line ID from the work history database 120b.

Based on the work history data acquired by the acquisition unit 130b, the extraction unit 130c includes an operator in the production line in which the product ID and personnel configuration information corresponding to the transmission source of the inquiry match the product ID and personnel configuration information. It is determined whether or not there is a production line in which the work process in charge is changed. Specifically, the extraction unit 130c refers to the transition of the process ID recorded in the work history data, and at least when the process ID different from that at the start of the work is recorded, the operator is in charge. It is determined that the work process to be changed has been performed. As a result of the determination, among the production lines in which the product ID and the personnel configuration information corresponding to the transmission source of the inquiry match the product ID and the personnel configuration information, there is a production line in which the work process in charge of the operator is changed. In this case, the extraction unit 130c extracts work history data corresponding to the corresponding production line. For example, the extraction unit 130c, as shown in the d ₁ in FIG. 7, the beginning of the work for extracting work history data separate step ID is recorded. That is, if there is no change in the product or the operator and the work process is changed, the extraction unit 130c determines that the change to the line configuration has been attempted, and changes the corresponding work history data to the change in the line configuration. It is extracted as data on production lines that can be regarded as having been performed.

  The calculation unit 130d calculates the production amount of the product before and after the line configuration change for the production line corresponding to the work history data extracted by the extraction unit 130c.

First, the calculation unit 130d divides all work history data related to a production line that can be determined to have been changed into a line configuration into two at a point in time when it can be determined that the line configuration has been changed. For example, when a new process ID different from that at the time of starting work is recorded in the work history data “D _20a ” associated with the production line ID “20L ₁ ”, the calculation unit 130d adds the new process ID. The work history data “D _20a ” is divided into two at locations where various process IDs are recorded. Point addition, calculating unit 130d, in addition to the work history data _{"D 20b,} D _20c" associated with the production line ID "20L _1" for even such, which were divided into two work history data _{"D 20a"} It is divided into two at the locations corresponding to. Thereby, each work history data “D _20a , D _20b , D _20c ” associated with the production line ID “20L ₁ ” is divided before and after the line configuration is changed. Then, the calculation unit 130d refers to the sewing machine operation information included in each of the work history data divided into two before and after the line configuration change, and from the number of times of thread cutting of the operation information, etc., before the line configuration change. For each after the change, the production amount of the product within the same work time in the production line with the production line ID “20L ₁ ” is calculated.

  The improvement measure providing unit 130e compares the production amount of the production line before and after the change of the work process calculated by the calculation unit 130d with each other, and among the production lines that can be determined that the line configuration has been changed, It is determined whether or not a production line is included in which the production amount after the change of the work process is larger than the production amount before the change of the work process. As a result of the judgment, the production lines that can be judged to have been changed in the line configuration include production lines whose production volume after the work process change is larger than the production volume before the work process change. If there is, the improvement measure providing unit 130e returns a response including information regarding the change in the line configuration of the corresponding production line as a line balance improvement measure to the transmission source of the inquiry about the line balance improvement measure. When there are a plurality of production lines in which the production amount after the change in the line configuration is increased compared to before the change, the improvement measure providing unit 130e lists the line balances in order from the one with the largest production amount after the change in the line configuration. The improvement plan list is created as a response to the transmission source of the line balance improvement plan query.

  Note that the control unit 130 may acquire work history data from the work history database 120b at a predetermined timing, and detect a production line in which the line configuration has been changed based on the work history data. In this case, when detecting the production line in which the line configuration has been changed, the control unit 130 generates line configuration information related to the changed line configuration and stores it in the production line database 120a. Or you may make it the control part 130 receive the line structure information after a change from the garment factory terminals 200-400. In this case, the control unit 130 stores the changed line configuration information in the production line database 120a.

  The garment factory terminals 200 to 400 are connected via the Internet 5 in a state where they can communicate with the line balance improvement measure providing apparatus 100. Since the garment factory terminals 200 to 400 have the same functional configuration, the garment factory terminal 200 will be described below as an example.

  As shown in FIG. 4, the garment factory terminal 200 includes a communication unit 210, a storage unit 220, and a control unit 230.

  The communication unit 210 controls communication related to the exchange of various information executed with the line balance improvement measure providing apparatus 100. Further, the communication unit 210 controls communication for acquiring various types of information from the sewing machines 20a to 20c, the sewing machines 20e to 20g, and the like via a local network constructed in the garment factory 20 such as a LAN.

  The storage unit 220 has sewing recording data 220a. Data of work (product ID, sewing machine ID, operator ID, process ID, operation information) recorded in the sewing machines 20a to 20c, the sewing machines 20e to 20g, and the like are recorded in the sewing machine recording data 220a. The storage unit 220 stores programs and data necessary for various processes by the control unit 230 in addition to the sewing machine recording data 220a.

  The control unit 230 includes an arithmetic device such as a CPU (Central Processing Unit) and a storage device such as a memory used by the arithmetic device for processing, and is stored in the storage unit 220 using these hardware resources. Various functions are realized by executing the program. The functions realized by the control unit 230 include a data storage unit 230a and a data transmission unit 230b as shown in FIG.

  The data storage unit 230a collects data recorded in the sewing machines 20a to 20c, the sewing machines 20e to 20g, and stores them in the storage unit 220 as the sewing machine recording data 220a in association with the corresponding production line ID.

  In response to a request from the line balance improvement measure providing apparatus 100, the data transmission unit 230 reads the sewing machine recording data 220a stored in the storage unit 220, associates the read sewing machine recording data 220a with the production line ID, It is transmitted to the line balance improvement measure providing apparatus 100 as work history data.

The sewing machines 20a to 20c, the sewing machines 20e to 20g, and the like record work data (product ID, sewing machine ID, operator ID, process ID, operation information). The sewing machines 20a to 20c and the like are arranged on the production line with the production line ID “20L ₁ ” among the production lines of the sewing factory 20, and the sewing machines 20e to 20g are production lines of the production lines of the sewing factory 20. It is arranged on the production line with ID “20L ₂ ”.

  Hereinafter, the product produced by the garment factory, a series of work steps performed in the production line, and the line configuration of the production line will be described with reference to FIGS. FIG. 8 is a diagram illustrating an example of a product according to the first embodiment. FIG. 9 is a diagram showing an example of a series of work steps when the product shown in FIG. 8 is produced. FIG. 10 is a diagram illustrating an example of a line configuration of a production line that produces the product illustrated in FIG. 8.

  As shown in FIG. 8, for example, in a production line of a sewing factory, trousers are produced as a sewing product. For example, “001” is assigned as the product ID to the product (trousers) shown in FIG.

As shown in FIG. 9, the work process when producing the product (trousers) shown in FIG. 8 includes a total of 11 work processes from process ID “P ₁ ” to process ID “P ₁₁ ”. The work process when producing the product (trousers) shown in FIG. 8 is performed in order from the process ID “P ₁ ” to the process ID “P ₁₁ ”. A total of 11 work processes from process ID “P ₁ ” to process ID “P ₁₁ ” are shared by a total of six operators with operator IDs “U01 to U06”.

The work process “front center connection” of the process ID “P ₁ ” and the work process “back center connection” of the process ID “P ₂ ” are handled by the operator of the operator ID “U01”. The work process “side-by-side” with process ID “P ₃ ” is handled by the operator with operator ID “U02”.

The process ID “P ₄ ”, the work process “bottom three stitches”, the process ID “P ₅ ”, the work process “inner crotch”, and the process ID “P ₆ ”, the work process “returning to the body” are the operator ID “U03”. And an operator with an operator ID “U04”. For example, the working process "hem three volumes sewing" process ID _{"P 4",} and the working process "crotch alignment" process ID _{"P 5"} responsible operator operator ID "U03", step ID _"P 5" The operator of the operator ID “U04” takes charge of the work process “inner thigh alignment” and the work process “returning the body” of the process ID “P ₆ ”.

The process ID “P ₇ ” work process “sick stitching”, the process ID “P ₈ ” work process “dimension cut”, and the process ID “P ₉ ” work process “rubber ring sewing” is the operator ID “U05”. Is in charge of the operator. Working process "waist insertion" process ID _{"P 10",} and the process ID work process "bar tacking (bolt time)" of _{"P 11"} is assigned by the operator of the operator ID "U06".

  10A shown in FIG. 10 shows a work table on which a sewing machine or the like is arranged, and 10B shown in FIG. 10 shows an operator's seat on which various sewing machines are set according to the work contents of each process. As shown in FIG. 10, each operator with operator IDs “U01 to U06” sits in the corresponding seat and performs the work process in charge. FIG. 10 shows FIG. 8 from the operator with the operator ID “U01” located in the leftmost seat in FIG. 10 to the operator with the operator ID “U06” located in the rightmost seat in FIG. It is a production line where the production of products can proceed.

[Processing according to Example 1]
FIG. 11 is a diagram illustrating an example of a processing procedure performed by the line balance improvement measure providing apparatus according to the first embodiment. The processing procedure illustrated in FIG. 11 is started when the line balance improvement measure providing apparatus 100 receives an inquiry about a line balance improvement measure from any of the garment factory terminals 200 to 400.

  The acquisition unit 130b refers to the production line database 120a, and acquires the product ID corresponding to the inquiry transmission source and the personnel configuration information in the production line corresponding to the inquiry transmission source (step S101). For example, when the transmission source of the inquiry is the garment factory terminal 200, the acquisition unit 130b refers to the data regarding the garment factory 20 stored in the production line database 120a, and determines the product ID (for example, 001) and personnel Configuration information (for example, the number of operators “6”) is acquired. When the sewing factory corresponding to the inquiry transmission source has a plurality of production lines, the product ID and personnel configuration information (number of operators) corresponding to each production line are acquired.

  Subsequently, the acquisition unit 130b searches the production line database 120a using the product ID and personnel configuration information (number of operators) acquired in step S101 as keys, and whether there is a production line that matches the combination of the product and the number of operators. It is determined whether or not (step S102). As a result of the determination, when there is no production line that matches the combination of the product and the number of operators (step S102, No), the acquisition unit 130b ends the processing procedure illustrated in FIG. At this time, the line balance improvement measure providing apparatus 100 may return a message indicating that an appropriate improvement measure has not been detected to the transmission source of the inquiry about the line balance improvement measure.

  On the other hand, if there is a production line that matches the combination of the product and the number of operators as a result of the determination (step S102, Yes), the acquisition unit 130b acquires a production line ID for identifying the corresponding production line. Then, work history data corresponding to the acquired production line ID is obtained from the work history database 120b (step S103).

  Subsequently, based on the work history data acquired by the acquisition unit 130b in step S103, the extraction unit 130c changes the work process in charge of the operator in the production line obtained as a result of the determination in step S102. It is determined whether there is a production line with a broken trace (step S104). Specifically, the extraction unit 130c refers to the transition of the process ID recorded in the work history data, and at least when the process ID different from that at the start of the work is recorded, the operator is in charge. It is determined that there is evidence that the work process to be changed has been performed.

  If the production line obtained as a result of the determination in step S102 does not have a production line with a trace of change of the work process in charge of the operator (No in step S104), the extraction unit 130c ends the processing procedure shown in FIG. At this time, the line balance improvement measure providing apparatus 100 may return a message indicating that an appropriate improvement measure has not been detected to the transmission source of the inquiry about the line balance improvement measure.

  On the other hand, as a result of the determination, if there is a production line with a trace in which the work process in charge of the operator has been changed among the production lines obtained as a result of the determination in step S102 (step S104). , Yes), the extraction unit 130c extracts work history data corresponding to the corresponding production line (step S105). That is, if there is no change in the product or operator and the work process is changed, the extraction unit 130c determines that the change to the line configuration has been attempted, and changes the corresponding work history data to the change in the line configuration. It is extracted as data on production lines that can be regarded as having been performed.

  Subsequently, the calculation unit 130d calculates the production amount before and after the change of the work process for the production line corresponding to the work history data extracted in Step S105 (Step S106).

  Subsequently, the improvement measure providing unit 130e refers to the calculation result of the production amount by the calculation unit 130d and determines whether there is a production line whose production amount has increased after the change of the work process (step S107). As a result of the determination, if there is no production line whose production volume has increased after the change of the work process (step S107, No), the improvement measure providing unit 130e ends the processing procedure shown in FIG. At this time, the line balance improvement measure providing apparatus 100 may return a message indicating that an appropriate improvement measure has not been detected to the transmission source of the inquiry about the line balance improvement measure.

  On the contrary, if there is a production line whose production volume has increased after the change of the work process as a result of the determination (step S107, Yes), the improvement measure providing unit 130e creates a line balance improvement measure list. Then, it is transmitted to the transmission source of the inquiry about the line balance improvement measure (step S108). And the improvement measure provision part 130e complete | finishes the process sequence shown in FIG.

  FIG. 12 is a diagram illustrating an example of a line balance improvement measure list according to the first embodiment. As shown in FIG. 12, the line balance improvement measure list includes the product ID of the corresponding product, information on the line configuration of another production line in which the line configuration has been changed, and the production volume before and after the change of the line configuration. Consists of information. The product ID is the product ID of the product corresponding to the improvement measure among the products produced on the production line corresponding to the inquiry transmission source. The line configuration information is the same as the production line that corresponds to the sender of the inquiry, the number of operators that make up the production line is the same, and the line configuration of another production line that has been changed. It is information about. Furthermore, when there are a plurality of pieces of information regarding the line configuration of other production lines that are improvement measures, the line balance improvement measure list is listed in descending order of production volume.

(Effects of Example 1)
As described above, in the first embodiment, the line balance improvement measure providing device 100 has a line configuration among other production lines having the same number of products and operators based on work history data collected from a garment factory. Detect other production lines that have changed. Then, the line balance improvement measure providing apparatus 100 is the transmission source of the line balance improvement measure inquiry about the line configuration information of the production line whose production volume has increased after the change of the line configuration from among the other detected production lines. Provide to sewing factories. As described above, according to the first embodiment, the line balance improvement measure providing device 100 collects work history data from a plurality of production lines by using the condition whether the number of products and the number of operators are the same. Therefore, it is possible to narrow down production lines where similar problems may occur. Furthermore, according to the first embodiment, based on the transition of the process ID recorded in the work history data, for example, it is possible to easily detect a change in the line configuration such as a change in the work process handled by the operator. Furthermore, according to the first embodiment, as a result of being able to easily confirm the effect of the change in the line configuration based on the data recorded in the work history data, it is possible to quickly provide a line balance improvement measure, It can proactively provide improvement measures with effective effects such as increased production.

  In the first embodiment, for example, in step S107 illustrated in FIG. 11, for the production line whose line configuration is changed, it is determined whether the production amount has increased, and the result of the change in the line configuration is determined. explained. However, the present invention is not limited to this. For example, the result of the line configuration may be determined based on whether or not the defective product rate has decreased.

  In the first embodiment, the change in the line configuration in the production line is detected by detecting whether or not the work process in charge of the operator has been changed. For example, it is detected whether or not the operator or the sewing machine has been changed. By doing so, a change in the line configuration may be detected. In this case, the line balance improvement measure provides not information on the configuration of a series of work steps performed by each operator on the production line, but information on changes in the operator and the sewing machine.

  In the first embodiment, when there is an inquiry about a line balance improvement measure, an example has been described in which line balance improvement measures are extracted for all products produced on the production line of the garment factory that sent the inquiry. However, the present invention is not limited to this. For example, when inquiring about an improvement plan for line balance, a product for which an improvement measure is desired may be designated at the transmission source of the inquiry.

  In the first embodiment, the example in which the improvement measure extraction process based on the work history data of other production lines having the same number of products and operators is executed has been described. In the following second embodiment, an example of executing an improvement measure extraction process based on work history data of other production lines having the same bottleneck process in addition to the number of products and operators will be described.

  The outline of the processing according to the second embodiment will be described with reference to FIG. FIG. 13 is a diagram for explaining the outline of the processing according to the second embodiment.

  As shown in FIG. 13, the garment factory terminals 200 to 400 are connected to, for example, a homepage published by the industrial sewing machine maker 1 and access the line balance improvement measure request screen from the homepage (step S21). The line balance improvement measure providing apparatus 100 transmits a line balance improvement measure request screen in response to a request from the garment factory terminals 200 to 400 (step S22).

  Subsequently, the garment factory terminals 200 to 400 display a line balance improvement measure request screen (see FIG. 3) on a display or the like. When the sewing factory terminals 200 to 400 accept the start button operation after the user ID and password are input on the line balance improvement measure request screen, the line factor improvement measure providing apparatus 100 is inquired about the line balance improvement measure. Is transmitted (step S23).

  Upon receiving the inquiry about the line balance improvement measure, the line balance improvement measure providing apparatus 100 performs user authentication based on the user ID and the password, and the request source production line matches the product line, the number of operators, and the production line that matches the bottleneck process. An improvement measure extraction process based on the work history data is executed (step S24). The specific method of the Kushiro process will be described in detail later.

  Subsequently, the line balance improvement measure providing apparatus 100 applies the line balance improvement measure to the garment factory terminal 200 based on the result of the extraction process of the improvement measure based on the work history data of the production line in which the product, the number of operators, and the bottleneck process match. To 400 (step S25).

[Functional Configuration According to Second Embodiment]
FIG. 14 is a diagram illustrating an example of a functional configuration of the line balance improvement measure providing apparatus according to the second embodiment. The functional configuration of the line balance improvement measure providing apparatus 100 illustrated in FIG. 14 is different from that of the first embodiment in that the function realized by the control unit 130 further includes a bottleneck process specifying unit 130f.

FIG. 15 is a diagram illustrating an example of a data configuration of a production line database according to the second embodiment. As shown in FIG. 15, the production line database 120 a stores, in addition to the production line ID, the product ID, the personnel configuration information, and the line configuration information, the bottleneck process information in association with each other for each garment factory. For example, in the example shown in FIG. 15, the working process of the process ID “P ₃ ” and the process ID “P ₇ ” of the production line with the production line ID “20L ₁ ” among the production lines of the garment factory 20 based on the bottleneck process information. It can be seen that the work process of “”, the work process of process ID “P ₈ ”, and the work process of process ID “P ₉ ” are the bottleneck process.

  The bottleneck process specifying unit 130f executes a process for specifying a bottleneck process for each production line of each garment factory at a predetermined timing. For example, the Kushiro process specifying unit 130f reads the work history data recorded in the work history database 120b once a day at a predetermined time, and completes the work process per product for each production line. The time required for each operator is obtained, and a pitch diagram is created.

  FIG. 16 is a diagram illustrating an example of a pitch diagram according to the second embodiment. FIG. 16 shows a pitch diagram of one production line. The horizontal axis of the graph area shown in FIG. 16 is an operator ID axis, and operator IDs in the order of work steps are set from the origin of the diagram to the right. The vertical axis of the graph area shown in FIG. 16 is the axis of work allocation time (seconds) per product. By plotting the time required for each operator and connecting the plotted points with a line, the pitch diagram shown in FIG. 16 is drawn in the graph area.

  Further, in the pitch diagram shown in FIG. 16, an SPT (Standard Pitch Time) is drawn with a dotted line by a line segment changed on the horizontal axis of the graph area. SPT is a standard processing time per operator required to complete a work process per product, and is calculated from the following formulas (1) and (2).

Standard processing time = Net processing time x (1 + margin rate) (1)
SPT = standard total machining time / number of operators (2)

In addition, as shown in the following formulas (3) and (4), the SPT can be obtained by using the target daily volume or the number of limited models instead of the number of operators.
SPT = working time per day / target daily production (3)
SPT = standard total machining time for limited models / number of limited models (4)

  The bottleneck process specifying unit 130f obtains the knitting efficiency for each operator based on the required time and pitch time according to the following formula (5), and the work process handled by the operator who does not satisfy the target knitting efficiency As specified.

    Knitting efficiency = SPT / required time × 100 (5)

  In the pitch diagram shown in FIG. 16, the bottleneck process specifying unit 130f, for example, based on the comparison result between the knitting efficiency and the target knitting efficiency obtained by the equation (5), is the work process that the operator with the operator ID “U04” takes charge of. Is identified as the Kushiro process.

  In this way, the Kushiro process identification unit 130f identifies the Kushiro process for each production line at a predetermined timing, and associates the Kushiro process information (process ID) obtained as a specific result with the production line ID. Store in the line database 120a.

  When the acquisition unit 130b receives an inquiry about a line balance improvement measure from the garment factory terminals 200 to 400, the acquisition unit 130b refers to the production line database 120a and in the garment factory where the garment factory terminal that transmitted the inquiry is installed. Product ID of products produced in the production line, personnel configuration information (number of operators) in the corresponding production line, and the bottleneck process information (process ID) in the corresponding production line, the same product ID, personnel composition information and the bottleneck process It is determined whether there is a production line associated with the information. As a result of the determination, if there is a production line associated with the product ID, the personnel configuration information, and the bottleneck process information corresponding to the inquiry transmission source, a production line ID for identifying the corresponding production line is acquired. Subsequently, the acquisition unit 130b acquires work history data associated with the acquired production line ID from the work history database 120b.

[Processing according to Example 2]
FIG. 17 is a diagram illustrating an example of a processing procedure performed by the line balance improvement measure providing apparatus according to the second embodiment. The processing procedure illustrated in FIG. 17 is started when the line balance improvement measure providing apparatus 100 receives an inquiry about a line balance improvement measure from any of the garment factory terminals 200 to 400. The processing procedure shown in FIG. 17 is different from the processing procedure shown in FIG. 11 in the processing of step S201 and step S202.

The acquisition unit 130b refers to the production line database 120a, and acquires the product ID, personnel configuration information, and Kushiro process information corresponding to the transmission source of the inquiry (Step S201). For example, when the transmission source of the inquiry is the garment factory terminal 200, the acquisition unit 130b refers to the data related to the garment factory 20 stored in the production line database 120a, and determines the product ID (for example, 001), personnel Configuration information (for example, the number of operators “6”) and Kushiro process information (process IDs “P ₃ , P ₇ , P ₈ , P ₉ ”) are acquired. In addition, when the garment factory corresponding to the transmission source of the inquiry has a plurality of production lines, the product ID, the personnel configuration information (number of operators) and the bottleneck process information (process ID) corresponding to each production line are acquired.

  Subsequently, the acquisition unit 130b searches the production line database 120a using the product ID, the personnel configuration information (number of operators), and the bottleneck process information (process ID) acquired in step S201 as keys, and the product, the number of operators, and the bottleneck. It is determined whether there is a production line that matches the process combination (step S202). As a result of the determination, when there is no production line that matches the combination of the product and the number of operators (step S202, No), the acquisition unit 130b ends the processing procedure illustrated in FIG. At this time, the line balance improvement measure providing apparatus 100 may return a message indicating that an appropriate improvement measure has not been detected to the transmission source of the inquiry about the line balance improvement measure.

  On the other hand, if there is a production line in which the combination of the product, the number of operators, and the bottleneck process matches as a result of the determination (step S202, Yes), the acquisition unit 130b matches the product, the number of operators, and the bottleneck process. The production line ID of the production line to be acquired is acquired, and the work history data corresponding to the acquired production line ID is acquired from the work history database 120b (step S203).

  Subsequently, based on the work history data acquired by the acquisition unit 130b in step S203, the extraction unit 130c determines the production line obtained as a result of the determination in step S202 (the inquiry transmission source and product, the number of operators, and the bottleneck process). It is determined whether or not there is a production line having a trace in which the work process changed by the operator has been performed among the matching production lines (step S204).

  As a result of the determination, when there is no production line with a trace in which the work process in charge of the operator has been changed (No in step S204), the extraction unit 130c ends the processing procedure illustrated in FIG. At this time, the line balance improvement measure providing apparatus 100 may return a message indicating that an appropriate improvement measure has not been detected to the transmission source of the inquiry about the line balance improvement measure.

  On the other hand, if there is a production line with a trace of a change in the work process that the operator is in charge of as a result of the determination (step S204, Yes), the extraction unit 130c corresponds to the corresponding production line. Work history data to be extracted is extracted (step S205).

  Subsequently, the calculation unit 130d calculates the production amount before and after the change of the work process for the production line corresponding to the work history data extracted in step S205 (step S206).

  Subsequently, the improvement measure providing unit 130e refers to the calculation result of the production amount by the calculation unit 130d and determines whether there is a production line whose production amount has increased after the change of the work process (step S207). As a result of the determination, if there is no production line whose production volume has increased after the change of the work process (step S207, No), the improvement measure providing unit 130e ends the processing procedure shown in FIG. At this time, the line balance improvement measure providing apparatus 100 may return a message indicating that an appropriate improvement measure has not been detected to the transmission source of the inquiry about the line balance improvement measure.

  On the other hand, if there is a production line whose production volume has increased after the change of the work process as a result of the determination (step S207, Yes), the improvement measure providing unit 130e creates a line balance improvement measure list. Then, it is transmitted to the transmission source of the inquiry about the line balance improvement measure (step S208). And the improvement measure provision part 130e complete | finishes the process sequence shown in FIG.

(Effects of Example 2)
As described above, according to the second embodiment, it is possible to narrow down other production lines having the same work process as a bottleneck by adding a condition whether or not the bottleneck process is the same. . As a result, information having a more effective effect can be actively provided as a line balance improvement measure to the transmission source of the inquiry about the line balance improvement measure.

  In the second embodiment, the example in which the improvement measure extraction process based on the work history data of other production lines having the same product, number of operators, and the same bottleneck process is executed has been described. In a third embodiment described below, an example of executing improvement measure extraction processing based on work history data of another production line having a similar line configuration will be described.

  The outline of the processing according to the third embodiment will be described with reference to FIG. FIG. 18 is a diagram for explaining the outline of the processing according to the third embodiment.

  As shown in FIG. 18, the garment factory terminals 200 to 400 are connected to, for example, a homepage published by the industrial sewing machine manufacturer 1 and access the line balance improvement measure request screen from the homepage (step S31). The line balance improvement measure providing apparatus 100 transmits a line balance improvement measure request screen in response to a request from the garment factory terminals 200 to 400 (step S32).

  Subsequently, the garment factory terminals 200 to 400 display a line balance improvement measure request screen (see FIG. 3) on a display or the like. When the sewing factory terminals 200 to 400 accept the start button operation after the user ID and password are input on the line balance improvement measure request screen, the line factor improvement measure providing apparatus 100 is inquired about the line balance improvement measure. Is transmitted (step S33).

  When receiving the inquiry about the line balance improvement measure, the line balance improvement measure providing apparatus 100 performs user authentication based on the user ID and the password, and the production line of the request source matches the product, the number of operators, and the bottleneck process, and the line An improvement measure extraction process based on work history data of production lines having similar configurations is executed (step S34).

  Subsequently, the line balance improvement measure providing apparatus 100 determines the line balance based on the result of the improvement measure extraction process based on the work history data of the production lines having the same product, the number of operators, and the bottleneck process and similar line configurations. The improvement measure is transmitted to the garment factory terminals 200 to 400 (step S35).

[Processing according to Example 3]
FIG. 19 is a diagram illustrating an example of a processing procedure performed by the line balance improvement measure providing apparatus according to the third embodiment. The processing procedure illustrated in FIG. 19 is started when the line balance improvement measure providing apparatus 100 receives an inquiry about a line balance improvement measure from any of the garment factory terminals 200 to 400. The processing procedure shown in FIG. 19 differs from the processing procedure shown in FIG. 17 in the processing in step S301 and step S302.

The acquisition unit 130b refers to the production line database 120a, and acquires a product ID, personnel configuration information, Kushiro process information, and line configuration information corresponding to the transmission source of the inquiry (step S301). For example, when the transmission source of the inquiry is the garment factory terminal 200, the acquisition unit 130b refers to the data related to the garment factory 20 stored in the production line database 120a, and determines the product ID (for example, 001), personnel Configuration information (for example, the number of operators “6”), Kushiro process information (process IDs “P ₃ , P ₇ , P ₈ , P ₉ ”), and line configuration information ((P 1, P 2) → P 3 → (P 4, P 5) ) → (P5, P6) → (P7, P8, P9) → (P10, P11)). If the garment factory corresponding to the inquiry transmission source has a plurality of production lines, the product ID, the personnel configuration information (number of operators), the bottleneck process information (process ID), and the line corresponding to each production line Get configuration information.

  Subsequently, the acquisition unit 130b searches the production line database 120a using the product ID, personnel configuration information (number of operators), Kushiro process information (process ID), and line configuration information acquired in step S301 as keys, It is determined whether or not there is a production line in which the combination of the product, the number of operators, and the bottleneck process match and the line configuration is similar (step S302). Here, the acquisition unit 130b includes all the same work processes, but determines that the line configurations are similar if the number of work processes assigned to one operator and the order of the work processes are different. .

  As a result of the determination, if there is no production line in which the product, the number of operators, and the bottleneck process match and the line configuration is similar (No in step S302), the acquisition unit 130b ends the processing procedure illustrated in FIG. At this time, the line balance improvement measure providing apparatus 100 may return a message indicating that an appropriate improvement measure has not been detected to the transmission source of the inquiry about the line balance improvement measure.

  On the contrary, if there is a production line in which the product, the number of operators, and the bottleneck process match as a result of the determination (step S302, Yes), the acquisition unit 130b matches the product, the number of operators, the bottleneck process, In addition, a production line ID of a production line having a similar line configuration is obtained, and work history data corresponding to the production line is obtained from the work history database 120b using the obtained production line ID as a key (step S303).

  Subsequently, based on the work history data acquired by the acquisition unit 130b in step S303, the extraction unit 130c changes the work process in charge of the operator in the production line obtained as a result of the determination in step S302. It is determined whether there is a production line with a broken trace (step S304).

  As a result of the determination, if there is no production line with a trace in which the work process in charge of the operator has been changed (No in step S304), the extraction unit 130c ends the processing procedure illustrated in FIG. At this time, the line balance improvement measure providing apparatus 100 may return a message indicating that an appropriate improvement measure has not been detected to the transmission source of the inquiry about the line balance improvement measure.

  On the other hand, if there is a production line with a trace of a change in the work process that the operator is in charge of as a result of the determination (Yes in step S304), the extraction unit 130c corresponds to the corresponding production line. Work history data to be extracted is extracted (step S305).

  Subsequently, the calculation unit 130d calculates the production amount before and after the change of the work process for the production line corresponding to the work history data extracted in Step S305 (Step S306).

  Subsequently, the improvement measure providing unit 130e refers to the calculation result of the production amount by the calculation unit 130d and determines whether there is a production line whose production amount has increased after the change of the work process (step S307). As a result of the determination, when there is no production line in which the production amount has increased after the change of the work process (step S307, No), the improvement measure providing unit 130e ends the processing procedure illustrated in FIG. At this time, the line balance improvement measure providing apparatus 100 may return a message indicating that an appropriate improvement measure has not been detected to the transmission source of the inquiry about the line balance improvement measure.

  On the other hand, if there is a production line whose production volume has increased after the change of the work process as a result of the determination (step S307, Yes), the improvement measure providing unit 130e creates a line balance improvement measure list. Then, it is transmitted to the transmission source of the inquiry about the line balance improvement measure (step S308). Then, the improvement measure providing unit 130e ends the processing procedure illustrated in FIG.

(Effects of Example 3)
As described above, according to the third embodiment, in addition to whether or not the bottleneck process is the same, by adding a condition whether or not the line configuration is similar, the work process that is a bottleneck is In addition to being the same, it is possible to narrow down other production lines that are closer in line configuration. As a result, it is possible to actively provide information having a more effective effect as a line balance improvement measure to the transmission source of the inquiry about the line balance improvement measure than in the second embodiment.

  In the first embodiment described above, the example in which the extraction process of the line balance improvement measure is executed based on the work history data of other production lines having the same number of products and operators. In Example 4 below, an example will be described in which extraction of measures for improving line balance is attempted from work history data of a production line that produces a similar product even if there is no production line that produces the same product.

  The outline of the processing according to the fourth embodiment will be described with reference to FIG. FIG. 20 is a diagram for explaining the outline of the processing according to the fourth embodiment.

  As shown in FIG. 20, the garment factory terminals 200 to 400 are connected to, for example, a homepage published by the industrial sewing machine manufacturer 1, and access the line balance improvement measure request screen from the homepage (step S41). The line balance improvement measure providing apparatus 100 transmits a line balance improvement measure request screen in response to a request from the garment factory terminals 200 to 400 (step S42).

  Subsequently, the garment factory terminals 200 to 400 display a line balance improvement measure request screen (see FIG. 3) on a display or the like. When the sewing factory terminals 200 to 400 accept the start button operation after the user ID and password are input on the line balance improvement measure request screen, the line factor improvement measure providing apparatus 100 is inquired about the line balance improvement measure. Is transmitted (step S43).

  When the line balance improvement measure providing apparatus 100 receives the inquiry about the line balance improvement measure, the line balance improvement measure providing apparatus 100 performs user authentication based on the user ID and the password, and is similar when there is no production line that produces the same product as the request source production line. The improvement measure extraction process based on the work history data of the production line that produces the product is executed (step S44).

  Subsequently, the line balance improvement measure providing apparatus 100 transmits the line balance improvement measure to the garment factory terminals 200 to 400 based on the result of the improvement measure extraction process based on the work history data of the production line that produces the similar product. (Step S45).

  The functional configuration of the line balance improvement measure providing apparatus according to the fourth embodiment is basically the same as that of the first embodiment, except for the points described below.

FIG. 21 is a diagram illustrating an example of a data configuration of a production line database according to the fourth embodiment. As shown in FIG. 21, the production line database 120a further stores a similar product ID in addition to the information shown in FIG. The similar product ID is recorded in advance by the administrator of the line balance improvement measure providing apparatus 100 or the like. In the case of the product shown in FIG. 8, for example, a product that is included in the bottoms category of clothing and that has a work process of 80% or more is regarded as a similar product. In the example illustrated in FIG. 5, for example, a product ID “001” produced on a production line with a production line ID “20L ₁ ” and a product ID “005” produced on a production line with a production line ID “30L ₁ ”. And products with product ID “006” produced on the production line with production line ID “40L ₁ ” are recorded as similar products.

  When the acquisition unit 130b receives an inquiry about a line balance improvement measure from the sewing factory terminals 200 to 400, the acquisition unit 130b refers to the production line database 120a and the inside of the sewing factory in which the sewing factory terminal that is the transmission source of the inquiry is installed. The product ID of the product produced on the production line is acquired. Then, the acquisition unit 130b searches the production line database 120a using the acquired product ID as a key, and determines whether there is a production line that matches the product. As a result of the determination, if there is no production line that matches the product, the production line database 120a is searched to determine whether there is a production line with a similar product (a production line that produces a similar product). If there is a production line with a similar product, obtain the personnel configuration information corresponding to the product that sent the query that had the production line that produced the similar product, and the number of operators in the production line with the similar product. Determine if there is a production line that matches. When there is a production line with the same number of operators, the acquisition unit 130b acquires work history data corresponding to the production line from the work history database 120b.

  Based on the work history data acquired by the acquisition unit 130b, the extraction unit 130c is similar to the production line corresponding to the transmission source of the inquiry and the product to be produced and has the same number of operators (hereinafter appropriately compared). It is determined whether or not there is a production line that can be determined to have the same level of difficulty as the sewing process and the production line corresponding to the inquiry transmission source. Specifically, the extraction unit 130c refers to the work history data of the production line corresponding to the inquiry transmission source, and performs a process of performing a sewing operation using a sewing machine from a work process performed on the production line. The number of stitches of the sewing machine, the sewing speed, and the sewing mode (a mode that is changed according to a stitch pattern such as straight stitching or zigzag stitching) are acquired. As data for evaluating the sewing speed, for example, data on the rotational speed of the main spindle of the sewing machine is acquired. Similarly, the extraction unit 130c refers to the work history data of the comparative verification production line acquired by the acquisition unit 130b, identifies the process of performing the sewing work using the sewing machine from the work history data, The number of stitches of the sewing machine, the sewing speed and the sewing mode in the specified process are acquired. The extraction unit 130c compares the number of stitches of the sewing machine and the sewing speed between the corresponding sewing modes, and from among the comparative verification production lines, the number of stitches of the sewing machine in the process specified in the production line corresponding to the transmission source of the inquiry A production line in which the difference from the sewing speed is within a predetermined range is specified as a production line that can be determined to have the same level of difficulty in the sewing process. For example, even in a sewing process executed in the same sewing mode, it can be determined that the difficulty is higher as the number of sewing needles and the sewing speed are higher. The extraction unit 130c may use work time instead of the sewing speed as data for determining the difficulty level of the sewing process. Then, the extraction unit 130c extracts work history data corresponding to the specified production line from the work history data acquired by the acquisition unit 130b. Subsequently, as in the first embodiment, the extraction unit 130c determines whether there is work history data in which the work process for which the operator is responsible has been changed, from the extracted work history data.

  The number of stitches of the sewing machine when the sewing work is carried out decreases as the work becomes simpler. Further, the sewing speed of the sewing machine when the sewing operation is performed generally becomes slower as the simple operation is performed. Thus, the number of stitches of the sewing machine and the sewing speed are data reflecting the difficulty level of the sewing work. By the way, pajamas trousers and suit slacks correspond to similar products in terms of bottoms, but the degree of difficulty in sewing work is not always the same. Therefore, in the fourth embodiment, by evaluating the difficulty level of the sewing work based on the number of stitches of the sewing machine and the sewing speed, a production line that produces a similar product to the production line from which the line balance improvement measure is inquired is evaluated. From the inside, a production line including a sewing process having the same level of difficulty is identified. That is, in the fourth embodiment, among production lines that produce similar products, a production line that includes a sewing process with the same degree of difficulty is regarded as having the closest line balance situation to the production line that is the inquiry source of the improvement measure. This is to judge that the production line can be used. In the fourth embodiment, an improvement plan for line balance is provided to the inquiry source based on the work history data of the production line that is closest to the production line that is the inquiry source for the improvement measure. As described above, according to the fourth embodiment, even when there is no production line that produces the same product as the production line that is the source of the inquiry about the line balance improvement measure, from among the production lines that produce similar products, Based on the work history data of the production line that is judged to be the closest to the actual situation of line balance, it is possible to provide information that is as effective as possible to the inquiry source as a measure for improving the line balance. When verifying the difference between the number of stitches and the sewing speed, based on empirical rules, the relationship between the number of stitches and the sewing speed and the difficulty of the work, and the difficulty of the sewing work can be judged to be the same. The range of the number of stitches and the sewing speed is set in advance.

[Processing according to Example 4]
22 and 23 are diagrams illustrating an example of a processing procedure performed by the line balance improvement measure providing apparatus according to the fourth embodiment. The processing procedure shown in FIGS. 22 and 23 is started when the line balance improvement measure providing apparatus 100 receives an inquiry about a line balance improvement measure from any of the garment factory terminals 200 to 400. The processing procedure shown in FIGS. 22 and 23 is different from FIG. 11 in steps S401 to S404 and steps S411 to S416.

  The acquisition unit 130b refers to the production line database 120a and acquires a product ID corresponding to the inquiry transmission source (step S401). Subsequently, the acquisition unit 130b determines whether there is a production line that matches the product (step S402).

  As a result of the determination, if there is a production line that matches the product (step S402, Yes), the acquisition unit 130b refers to the production line database 120a and acquires personnel configuration information corresponding to the transmission source of the inquiry ( Step S403). Subsequently, the acquisition unit 130b determines whether there is a production line with the same number of operators (step S404).

  As a result of the determination, if there is no production line with the same number of operators (No in step S404), the acquisition unit 130b ends the processing procedure illustrated in FIG. At this time, the line balance improvement measure providing apparatus 100 may return a message indicating that an appropriate improvement measure has not been detected to the transmission source of the inquiry about the line balance improvement measure.

  On the other hand, if there is a production line with the same number of operators as a result of the determination (step S404, Yes), the acquisition unit 130b obtains work history data corresponding to the production line from the work history database 120b. Obtain (step S405).

  Subsequently, based on the work history data acquired by the acquisition unit 130b in step S405, the extraction unit 130c changes the work process in charge of the operator in the production line obtained as a result of the determination in step S404. It is determined whether there is a production line with a broken trace (step S406).

  As a result of the determination, if there is no production line with a trace in which the work process in charge of the operator has been changed (No in step S406), the extraction unit 130c ends the processing procedure illustrated in FIG. At this time, the line balance improvement measure providing apparatus 100 may return a message indicating that an appropriate improvement measure has not been detected to the transmission source of the inquiry about the line balance improvement measure.

  On the other hand, if there is a production line with a trace of a change in the work process for which the operator is in charge as a result of the determination (step S406, Yes), the extraction unit 130c corresponds to the corresponding production line. Work history data to be extracted is extracted (step S407).

  Subsequently, the calculation unit 130d calculates the production amount before and after the change of the work process for the production line corresponding to the work history data extracted in step S407 (step S408).

  Subsequently, the improvement measure providing unit 130e refers to the calculation result of the production amount by the calculation unit 130d, and determines whether there is a production line whose production amount has increased after the change of the work process (step S409). As a result of the determination, if there is no production line whose production volume has increased after the change of the work process (step S409, No), the improvement measure providing unit 130e ends the processing procedure illustrated in FIG. At this time, the line balance improvement measure providing apparatus 100 may return a message indicating that an appropriate improvement measure has not been detected to the transmission source of the inquiry about the line balance improvement measure.

  On the other hand, if there is a production line whose production volume has increased after the change of the work process as a result of the determination (step S409, Yes), the improvement measure providing unit 130e creates a line balance improvement measure list. Then, it is transmitted to the transmission source of the inquiry about the line balance improvement measure (step S410). Then, the improvement measure providing unit 130e ends the processing procedure illustrated in FIG.

  If it is determined in step S402 that there is no production line that matches the product (No in step S402), the acquisition unit 130b determines whether there is a production line with a similar product as illustrated in FIG. (Step S411).

  As a result of the determination, when there are no production lines with similar products (No at Step S411), the acquisition unit 130b returns to the processing procedure illustrated in FIG. 22 and ends the processing procedure. At this time, the line balance improvement measure providing apparatus 100 may return a message indicating that an appropriate improvement measure has not been detected to the transmission source of the inquiry about the line balance improvement measure.

  On the other hand, if there is a production line with a similar product as a result of the determination (step S411, Yes), the acquisition unit 130b refers to the production line database 120a, and corresponds to the person who sent the inquiry. Configuration information is acquired (step S412). Subsequently, the acquisition unit 130b determines whether there is a production line with the same number of operators (step S413).

  As a result of the determination, if there is no production line with the same number of operators (step S413, No), the acquisition unit 130b returns to the processing procedure illustrated in FIG. 22 and ends the processing procedure. At this time, the line balance improvement measure providing apparatus 100 may return a message indicating that an appropriate improvement measure has not been detected to the transmission source of the inquiry about the line balance improvement measure.

  On the other hand, if there is a production line with the same number of operators as a result of the determination (step S413, Yes), the acquisition unit 130b obtains work history data corresponding to the production line from the work history database 120b. Obtain (step S414).

  Subsequently, based on the work history data acquired by the acquisition unit 130b, the extraction unit 130c is similar to the production line corresponding to the inquiry transmission source and the product, and has the same number of operators (hereinafter referred to as appropriate). It is determined whether there is a production line in which the difficulty of the sewing process is comparable to the production line corresponding to the transmission source of the inquiry (described as a comparative verification production line) (step S415).

  Specifically, the extraction unit 130c refers to the work history data of the production line corresponding to the inquiry transmission source, and performs a process of performing a sewing operation using a sewing machine from a work process performed on the production line. The number of stitches of the sewing machine, the sewing speed, and the sewing mode (a mode that is changed according to a stitch pattern such as straight stitching or zigzag stitching) are acquired. Similarly, the extraction unit 130c refers to the work history data of the comparative verification production line acquired by the acquisition unit 130b, identifies the process of performing the sewing work using the sewing machine from the work history data, The number of stitches of the sewing machine, the sewing speed and the sewing mode in the specified process are acquired. The extraction unit 130c compares the number of stitches of the sewing machine and the sewing speed between the corresponding sewing modes, and from among the comparative verification production lines, the number of stitches of the sewing machine in the process specified in the production line corresponding to the transmission source of the inquiry A production line in which the difference from the sewing speed is within a predetermined range is determined as a production line that can be determined that the degree of difficulty of the sewing process is close (similar).

  As a result of the determination, if there is no production line that can be determined that the difficulty of the sewing process is close to the production line corresponding to the inquiry transmission source (No in step S415), the extraction unit 130c performs the processing procedure illustrated in FIG. Return to end the processing procedure. At this time, the line balance improvement measure providing apparatus 100 may return a message indicating that an appropriate improvement measure has not been detected to the transmission source of the inquiry about the line balance improvement measure.

  On the other hand, if there is a production line that can be determined that the difficulty of the sewing process is close to the production line corresponding to the inquiry transmission source as a result of the determination (step S415, Yes), the extraction unit 130c Corresponding work history data is extracted from the work history data acquired in S414 (step S416). Then, the extraction unit 130c moves to the processing procedure in step S406 of FIG. 22 and continues the processing.

(Effects of Example 4)
As described above, according to the fourth embodiment, since an attempt is made to extract a line balance improvement measure based on work history data of a production line that produces a similar product, there is no production line that produces the same product. The possibility of providing line balance improvement measures can be increased.

  The process according to the fourth embodiment can be combined with the process according to the second embodiment (see FIG. 17) and the process according to the third embodiment (see FIG. 19).

DESCRIPTION OF SYMBOLS 1 Industrial sewing machine manufacturer 5 Internet 20-40 Sewing factory 100 Line balance improvement measure provision apparatus 110 Communication part 120 Storage part 120a Production line database (production line information storage part)
120b Work history database (work history data storage unit)
DESCRIPTION OF SYMBOLS 130 Control part 130a Collection part 130b Acquisition part 130c Extraction part 130d Calculation part 130e Improvement measure provision part 130f Kushiro process identification part 200-400 Garment factory terminal

Claims (6)

A line balance improvement measure providing device for providing an improvement measure for improving the line balance of a production line for producing a product by sharing a plurality of work processes with a plurality of operators,
Corresponding to a line identifier that uniquely identifies the production line for each production line, at least a product identifier that uniquely identifies a product produced by the production line, and a personnel configuration of the operator in the production line A production line information storage unit for storing personnel composition information to be shown;
For each production line, the product identifier recorded in time series on a plurality of industrial sewing machines arranged on the production line, a sewing machine identifier that uniquely identifies the industrial sewing machine, and an operator that uniquely identifies the operator An identifier, a work process identifier for uniquely identifying a work process performed by the operator, and a collection unit for collecting operation information of the industrial sewing machine,
The product identifier collected by the collection unit for each production line, the sewing machine identifier, the operator identifier, the work process identifier, and the operation information of the industrial sewing machine are associated with the line identifier as work history data. A work history data storage unit for storing
The product identifier associated with the line identifier for identifying the first production line corresponding to the transmission source of the inquiry with reference to the production line information storage unit when the improvement measure inquiry is received And when there is a second production line associated with the product identifier and the personnel composition information that is the same as the personnel composition information, the data is associated with the line identifier that identifies the second production line. An acquisition unit for acquiring the work history data from the work history data storage unit;
Based on the work process identifier included in the work history data acquired by the acquisition unit, a third production line having a trace of the change of the work process is included in the second production line. It is determined whether or not included, and, as a result of the determination, if the third production line is included in the second production line, from the work history data acquired by the acquisition unit, An extractor for extracting the work history data corresponding to the third production line;
Based on the work history data extracted by the extraction unit, a calculation unit that calculates the production amount of the product before and after the change of the work process for the third production line;
The production amount of the product before and after the change of the work process calculated by the calculation unit is compared with each other, and the production amount after the change of the work process is larger than the production amount before the change of the work process When the fourth production line is included in the third production line, the response including the contents of the work process change in the fourth production line is returned to the sender of the inquiry. A device for providing a line balance improvement measure, comprising: a measure provision unit. Based on the operation information of the industrial sewing machine collected by the collection unit, the work required time required for the work process per product is calculated, and the calculated work required time and the work process per product are calculated. A specification for identifying a bottleneck process in the production line based on a standard work time required and storing information relating to the identified bottleneck process in the production line information storage unit in association with the product identifier and the personnel configuration information Further comprising
The acquisition unit refers to the production line information storage unit, acquires all the line identifiers that match the product identifier, the personnel configuration information, and the information related to the bottleneck process included in the inquiry, and acquires all the acquired line identifiers. The line balance improvement measure providing apparatus according to claim 1, wherein all of the work history data associated with each of the line identifiers is acquired from the work history data storage unit.   The improvement measure providing unit enumerates the contents of the configuration change of the production line in which the production amount has increased after the configuration change, in order from the largest production amount, and sends back as a response corresponding to the inquiry The apparatus for providing a line balance improvement measure according to claim 1 or 2. The production line information storage unit further stores a similar product identifier that uniquely identifies a product similar to the product in association with the product identifier,
The obtaining unit obtains and obtains the similar product identifier corresponding to the product identifier associated with the line identifier for identifying the first production line when there is no second production line. The fifth production associated with the similar product identifier and the personnel configuration information identical to the personnel configuration information associated with the line identifier identifying the similar product identifier and the first production line. If there is a line, obtain the line identifier for identifying the fifth production line, obtain the work history data associated with the obtained line identifier from the work history data storage unit,
In the process of sewing using the industrial sewing machine among the work processes carried out in the fifth production line from the operation information included in the work history data acquired by the acquisition part The information for evaluating the number of stitches and the sewing speed is acquired, the information for evaluating the acquired number of stitches and the sewing speed, and the industrial process among the work steps performed in the first production line. The number of stitches and the information for evaluating the sewing speed in the sewing process using the sewing machine are compared with each other between the corresponding sewing modes, and the difference between the number of stitches and the sewing speed is within a predetermined range. It is determined whether the sixth production line is included in the fifth production line. As a result of the determination, the sixth production line is included in the fifth production line. The work process is changed in the sixth production line based on the work process identifier included in the work history data acquired by the acquisition unit. It is determined whether or not a production line is included, and if the result of determination is that the seventh production line is included in the sixth production line, the work history data acquired by the acquisition unit The line balance improvement measure providing device according to claim 1, wherein the work history data corresponding to the seventh production line is extracted from the inside. A line balance improvement measure extraction method to be executed by a line balance improvement measure providing device that provides an improvement measure for improving the line balance of a production line that produces products by sharing multiple work processes with multiple operators. There,
When receiving an inquiry about the improvement measures, at least a product identifier that uniquely identifies a product produced by the production line in association with a line identifier that uniquely identifies the production line, and the production line With reference to a production line information storage unit that stores personnel configuration information indicating the personnel configuration of an operator for each production line, the first configuration line corresponding to the transmission source of the inquiry is associated with the line identifier. If there is a second production line associated with the product identifier and the personnel configuration information that is the same as the product identifier and the personnel configuration information, the line identifier corresponding to the second production line Step to get the
Implemented by the operator, the product identifier recorded in time series on a plurality of industrial sewing machines arranged in the production line, a sewing machine identifier that uniquely identifies the industrial sewing machine, an operator identifier that uniquely identifies the operator The second production line is identified from a work history data storage unit that stores work history data including operation information of the industrial sewing machine that uniquely identifies a work process to be performed and operation information of the industrial sewing machine. Obtaining the work history data associated with the line identifier;
Based on the work process identifier included in the acquired work history data, whether or not the second production line includes a third production line with a trace that the work process has been changed. Determining whether or not
As a result of the determination, when the third production line is included in the second production line, from the work history data associated with the line identifier for identifying the second production line Extracting the work history data corresponding to the third production line;
Calculating the production amount of the product before and after the change of the work process for the third production line based on the work history data corresponding to the extracted third production line;
The production amount of the product before and after the change of the calculated work process is compared with each other, and the fourth production in which the production quantity after the change of the work process is larger than the production quantity before the change of the work process When a line is included in the third production line, a response including the contents of the change in the work process in the fourth production line is returned to the sender of the inquiry. The line balance improvement measure extraction method characterized by this. A line balance improvement measure providing device that provides an improvement measure to improve the line balance of a production line that produces products by sharing multiple work processes with multiple operators.
When receiving an inquiry about the improvement measures, at least a product identifier that uniquely identifies a product produced by the production line in association with a line identifier that uniquely identifies the production line, and the production line With reference to a production line information storage unit that stores personnel configuration information indicating the personnel configuration of an operator for each production line, the first configuration line corresponding to the transmission source of the inquiry is associated with the line identifier. If there is a second production line associated with the product identifier and the personnel configuration information that is the same as the product identifier and the personnel configuration information, the line identifier corresponding to the second production line Step to get the
Implemented by the operator, the product identifier recorded in time series on a plurality of industrial sewing machines arranged in the production line, a sewing machine identifier that uniquely identifies the industrial sewing machine, an operator identifier that uniquely identifies the operator The second production line is identified from a work history data storage unit that stores work history data including operation information of the industrial sewing machine that uniquely identifies a work process to be performed and operation information of the industrial sewing machine. Obtaining the work history data associated with the line identifier;
Based on the work process identifier included in the acquired work history data, it is determined whether or not the second production line includes a third production line in which the work process is changed. A determining step;
As a result of the determination, when the third production line is included in the second production line, from the work history data associated with the line identifier for identifying the second production line Extracting the work history data corresponding to the third production line;
Calculating the production amount of the product before and after the change of the work process for the third production line based on the work history data corresponding to the extracted third production line;
The production amount of the product before and after the change of the calculated work process is compared with each other, and the fourth production in which the production quantity after the change of the work process is larger than the production quantity before the change of the work process If a line is included in the third production line, a response including the contents of the change of the work process in the fourth production line is returned to the sender of the inquiry. Line balance improvement measure extraction program characterized by that.

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