KR20220003844A - Work network management method of handwork manufacturing field - Google Patents

Abstract

The present invention relates to a method for managing a work network in the field of manual manufacturing. More specifically, in the manufacturing field where products are mainly produced by hand, such as in the field of clothing manufacturing, work for each process by a worker is standardized, productivity of the entire process is greatly increased through continuous rebalancing according to continuous improvement of a skill level of each worker, and related companies are managed as one network, thereby greatly increasing work efficiency and productivity. In particular, required time for each process, average time, time deviation, productivity per unit time, a skill level of each worker, and the like are analyzed, time deviation for each process is converged to zero (balancing 1) or required time is maintained below an average time (balancing 2) through efficient arrangement of equipment and human resources, thereby minimizing time loss for each process. In addition, related companies (ordering party and ordering party) are grouped into one network and manufacturing processes of a predetermined product are distributed to a plurality of recipients on the basis of a client's work standards, thereby providing an advantage of greatly increasing productivity of not only a specific company but also the entire industry. Accordingly, reliability and competitiveness in the field of manual manufacturing, particularly the field of clothing manufacturing, as well as similar or related fields, can be increased. The method comprises a work standardization networking step and a process link optimization step.

Description

Work network management method of handwork manufacturing field

The present invention relates to a method for managing a work network in the field of manual manufacturing, and more particularly, in a manufacturing field that mainly produces products such as clothes manufacturing field, standardizes work for each process by an operator, and maintains the skill level of each worker Through continuous rebalancing according to the improvement, the productivity of the entire process is greatly improved, and by managing related companies as one network, work efficiency and productivity can be greatly improved.

In particular, the present invention analyzes the time required for each process, average time, time deviation, productivity per unit time, and proficiency for each worker, so that the time deviation for each process converges to 0 through efficient arrangement of equipment and human resources ( It relates to a work network management method in the field of manual manufacturing in which time loss per process can be minimized by balancing 1) and keeping the required time below the average time (balancing 2).

In general, process control or production management refers to the overall management of all activities of a factory in order to produce products of a certain quality, quantity, and price in a certain amount of time most efficiently in a production plant. Prediction, planning, and control of production in order to maximize productivity.

A number of operations are required before a raw material becomes a product, and these operations are performed according to a certain sequence and sequence, and this is called a production process.

In the modern concept of manufacturing, these production processes are made through very complex linkages, so if a part of the process goes wrong or time is lost, the entire production process is affected, resulting in reduced product productivity or equipment failure. Outages may occur.

Therefore, it can be said that the purpose of process management or production management is to smooth the flow of the entire production process by managing each partial process and the product (intermediate product) of the process under a certain time schedule.

In recent years, by automating such process management or production management along with factory automation, technologies for enabling more efficient operation and operation have been developed.

However, the technologies known so far are mainly limited to the case of the manufacturing field in which factory automation facilities are built, because it is relatively easy to monitor each facility with various sensors and analyze it to manage each process.

On the other hand, there is a problem in that it is very difficult to apply such technology in a field where products are mainly manufactured by hand, such as in the field of clothing.

Of course, there are process management and production management in the apparel field as well, but this is mainly ad hoc management based on the experience of skilled workers, so it was insufficient to say that systematic management based on accurate statistics or information was performed.

In particular, in the recent manufacturing field, in order to meet the diverse needs of consumers, the need to optimize process management or production management for each product is increasing as it is converted from a small-scale mass production system to a multi-variety small-volume production system. is demanded

Republic of Korea Patent Publication No. 10-1419708 'Work standardization work method and system'

In order to solve the above problems, the present invention standardizes work for each process by an operator in a manufacturing field that produces products mainly by hand, such as a clothing manufacturing field, and continuously rebalances according to the continuous improvement of each worker's skill. The purpose of this is to provide a work network management method in the manual manufacturing field that can greatly improve the productivity of the entire process through the process and manage the related companies as one network, thereby greatly improving work efficiency and productivity.

In particular, the present invention analyzes the time required for each process, average time, time deviation, productivity per unit time, and proficiency for each worker, so that the time deviation for each process converges to 0 through efficient arrangement of equipment and human resources ( The purpose of balancing 1) is to provide a work network management method in the field of manual manufacturing that can minimize time loss for each process by keeping the required time below the average time (balancing 2).

In addition, the present invention groups related companies (ordering party and ordering party) into one network and distributing the manufacturing process of a specific product to a plurality of customers based on the work standard of the ordering party, so that not only the specific company but also the corresponding An object of the present invention is to provide a method for managing a work network in the field of manual manufacturing that can significantly improve the productivity of the entire industrial field.

In order to achieve the above object, the method for managing a work network in the field of manual manufacturing according to the present invention is to check the requested product information for the requested product and the work standard for each requested product for a plurality of recipients, and for each requested product a work standardization networking step of matching work standards for a plurality of clients; and a process link optimization step of optimizing the manufacturing process of the requested product by confirming a work standard matched with the requested product and linking at least two ordering parties when manufacturing of the requested product is requested.

In addition, the process linkage optimization step may include: a recipient selection process of selecting a recipient capable of manufacturing the requested product; and, in the case of receiving an order for the requested product, based on the average required time and time deviation predicted for each order recipient, a process for determining a recipient of an order by selecting at least one recipient and placing an order.

In addition, between the process of selecting a recipient and determining a recipient, the available resource checking process of checking the work standards of the recipient and checking the currently allowed spare time for each process, the spare equipment manger, and the spare manpower; and a balancing prediction process of performing virtual balancing for each order recipient in case of receiving an order for the requested product.

In addition, the process for selecting a recipient or balancing prediction process may be performed when an additional requested product is received while the corresponding client is currently manufacturing a specific requested product.

In addition, the process linkage optimization step may include: a recipient selection process of selecting a recipient capable of manufacturing the requested product; The work standard confirmation process of confirming the work standard of the relevant contracting party and confirming the work standard for the requested product; A process-specific productivity verification process that checks productivity by each process of manufacturing the requested product; And it may include; and a process for determining a client by selecting a high-productivity client for each process, and placing an order for each process to manufacture the requested product to each client.

In addition, in the process of determining the order destination, it is possible to select an order destination that minimizes the overall required time by adding a time loss for a moving distance between each order destination with respect to the selected order destinations.

In addition, the process linkage optimization step may include: a recipient selection process of selecting a recipient capable of manufacturing the requested product; and a work standard verification process of confirming the work standard of the requested product by confirming the work standard of the receiving party; Productivity verification process for each client, which checks the productivity per unit time for each client for each process of manufacturing the requested product; and, when the production of the requested product is placed with at least two clients, a client decision process of selecting and placing an order from a client whose average time required for the entire process of the at least two clients is minimized; may include.

In addition, in the order destination determination process, it is possible to select an order destination that minimizes the overall average time required by adding a time loss for a moving distance between each order destination for the selected order destinations.

In addition, before the work standardization networking step, a work standardization and work distribution step of analyzing and standardizing work information for manufacturing the requested product for each order recipient, and distributing the work for manufacturing the requested product for each worker; more may include

In addition, between the work standardization and work distribution step and the work standardization networking step, the amount of work of the workers for each manufacturing process of the requested product is monitored, and the process time deviation, which is the time deviation of the work for each process, and the time deviation of the work for each worker. The method may further include a balancing step for each process of adjusting the arrangement of workers for each process based on at least one of the time deviations.

By means of the above solution, the present invention standardizes the work for each process by the operator in the manufacturing field that mainly produces products such as the clothing manufacturing field, and undergoes continuous rebalancing according to the continuous improvement of the skill level of each worker. It greatly improves the productivity of the entire process and has the advantage of greatly improving work efficiency and productivity by managing related companies as a single network.

In addition, since the present invention can be applied and utilized not only in the field of garments that mainly produce products by hand, but also in other industrial fields with low factory automation ratios, there is an advantage that can be applied and utilized in various industrial fields and industries.

In addition, the present invention analyzes the time required for each process, average time, time deviation, productivity per unit time, and skill level for each worker, so that the time deviation for each process converges to 0 through efficient arrangement of equipment and human resources ( Balancing 1), by keeping the required time below the average time (balancing 2), there is an effect of minimizing the time loss for each process.

In addition, the present invention groups related companies (ordering party and ordering party) into one network and distributing the manufacturing process of a specific product to a plurality of customers based on the work standard of the ordering party, so that not only the specific company but also the corresponding It has the advantage of greatly improving the productivity of the entire industrial field.

In particular, the present invention applies the most effective balancing method in consideration of not only the arrangement within a single contracting party, but also the time required for movement between the contracting parties for each process in efficient arrangement of equipment and human resources, It has the advantage of enabling work standardization and networking that sufficiently reflects the characteristics of the relevant field.

Through this, the present invention has an advantage in that the productivity of the product is prevented from being lowered while the amount of work is concentrated on a specific order destination, and at the same time, the quality of the product can be always maintained at a certain level or more.

In addition, the present invention can greatly improve the reliability of consumers in the field, which can obtain the effect of improving national competitiveness in the field.

Accordingly, reliability and competitiveness can be improved in manual-oriented manufacturing fields, particularly clothing manufacturing fields, as well as similar or related fields.

1 is a flowchart illustrating one embodiment of work standardization, distribution, balancing, and work network for manufacturing products using the present invention.
FIG. 2 is a flowchart illustrating a specific embodiment of step 'S100' shown in FIG. 1 .
3 is a flowchart illustrating a specific embodiment of step 'S600' shown in FIG. 1 .
4 is a flowchart illustrating another specific embodiment of step 'S600' shown in FIG. 1 .
5 is a flowchart illustrating another specific embodiment of step 'S600' shown in FIG. 1 .
6 and 7 are diagrams illustrating embodiments for explaining the present invention.

Examples of the method for managing a work network in the field of manual manufacturing according to the present invention can be variously applied, and the most preferred embodiment will be described below with reference to the accompanying drawings.

1 is a flowchart illustrating one embodiment of work standardization, distribution, balancing, and work networks for manufacturing products using the present invention.

Referring to Figure 1, the production management method and the network management method between companies using the present invention is a work standardization step (S100), a work distribution step (S200), a manual monitoring step (S300), a balancing step for each process (S400), work It includes a standardization networking step (S500) and a process linkage optimization step (S600).

The work standardization step (S100) is to analyze and standardize work information for manufacturing the requested product based on the order information for each ordering party, and the design code, size, color, number, etc. of the product to be manufactured (clothing) is product information And, the process for manufacturing the product (fabric supply, cutting, sewing, etc.; in the case of sewing, the process is divided by part.) and the process for analyzing order information such as work orders including manufacturing requirements, etc. It standardizes work information such as arrangement of each worker and allocation of workload for each worker.

This work standardization step (S100) is a process that takes place prior to notifying actual workers of work, and each piece of information can be stored and managed in a DB, and it can be utilized and operated even with deep learning-based AI using big data. It may be possible.

The work distribution step (S200) is to distribute the work (daily workload, etc.) for manufacturing the requested product for each worker based on the work standard of the requested product and worker information for producing the requested product, and based on the work standard It is a process in which each worker is informed of their work.

The manual monitoring step (S300) is to monitor the process in which each worker actually works on the previously distributed work, and checks the amount of work of the workers for each manufacturing process of the requested product.

In the process-specific balancing step (S400), according to the monitoring result for each worker, at least one of the required time for each process and the required time for each worker required to manufacture the requested product is checked, and the process time deviation that is the time deviation of the work for each process And, based on at least one of the worker time deviation, which is the time deviation of the work for each worker, the arrangement of the workers for each process is adjusted.

The balancing method of the balancing step (S400) for each process can be made the same or similar to the standardization method of the work standardization step (S100) described above, the work standardization step (S100) is based on the requested order information based on equipment or manpower It is the first arrangement of resources such as , and the balancing step for each process ( S400 ) can be said to be different in that the human resources are rearranged every predetermined time based on the results of each worker's monitoring.

The work standardization networking step (S500) is to check the requested product information for the requested product and the work standard for each requested product for a plurality of recipients, and match the work standard for a plurality of recipients for each requested product, in the corresponding field (Clothing manufacturing field) companies are managed as a single network, and when manufacturing a specific product, the product is manufactured using multiple customers rather than just one customer.

Accordingly, in the process link optimization step (S600), when manufacturing of a requested product is requested from a specific ordering party, the work standard matched with the requested product is checked and at least two ordering partners are linked to optimize the manufacturing process of the requested product. .

Hereinafter, each step shown in FIG. 1 will be described in more detail.

2 is a flowchart illustrating a specific embodiment of step 'S100' shown in FIG. 1 .

Referring to FIG. 2 , the work standardization step (S100) includes a work process confirmation process (S110), a resource confirmation process for each process (S120), a required time confirmation process (S130), and a process optimization process (S140).

The work process confirmation process (S110) is to confirm the work process included in the work information, and the work process includes a fabric supply process, a cutting process, a sewing process, etc. In particular, the sewing process is more subdivided according to the characteristics of each part of the garment. processes may be included.

The process-specific resource confirmation process (S120) is to confirm at least one resource among the equipment resources input to each work process identified above and the human resources including the worker, and what equipment is used to perform the process for each process? Information such as the type and number of each, who uses each equipment, and how many workers are deployed in the process can be checked.

The required time confirmation process ( S130 ) checks at least one of the required time for each process and the required time for each worker.

Thereafter, the required time confirmed in the process optimization process ( S140 ) may be converged to the average required time of the entire process.

For example, when it is confirmed that the required time for each process and the equipment resources operated in the process are confirmed in the required time confirmation process ( S130 ), the process optimization process ( S140 ) averages the equipment resources operating in the process less than the average required time It can be allocated to processes that exceed the required time.

As another example, if it is confirmed that the time required for each process and the human resources operated in the process are confirmed in the required time confirmation process ( S130 ), the process optimization process ( S140 ) is an average of the human resources working in the process less than the average required time. You can allocate more work for the process that exceeds the required time.

More specifically, as shown in FIG. 6 , when optimization is performed for four workers placed in a specific process, the average time required for the process is 1 t, and each worker has to complete one task in the process. If the same amount of time is taken, the total time required for the process can be reduced from 2.0t to 1.3t by dividing and additionally distributing the workload of worker3, which takes the most time, to worker1 and worker2.

At this time, although 0.3t, which is the additional time of worker 4, can be divided and allocated to other workers, it may be undesirable for many workers to distribute the amount of work to each other in consideration of the efficiency of work distribution among workers. It is desirable to converge to the average time required for the entire process through distribution.

As another example, as shown in FIG. 7 , when some production processes (process 3, process 4) of the entire production process exceed the overall average required time, the excess of the process may be distributed to other processes.

At this time, under the condition that the equipment used in each process is the same equipment, it can be distributed to adjacent processes (arrow in FIG. 7 ) in consideration of the continuity of each process and the movement time of the intermediate product.

If the equipment used in the adjacent (considering both spatial and temporal proximity) processes is different, distribute to the closest process among processes using the same equipment, or converge to the average time required (Tave) in a similar manner to FIG. can be distributed

On the other hand, the required time may be flexibly changed according to the skill level of the workers.

Therefore, in distributing the amount of work for each process as shown in FIG. 7 , with respect to the human resource for which the spare time is secured in the required time confirmation process ( S130 ), the proficiency level for each process that can be input is checked, and a weight for the process is given. can

And, in the process optimization process ( S140 ), by allocating the work to the corresponding human resource in consideration of the previously assigned weight, it is possible to more effectively distribute the work.

On the other hand, as described above in the description of FIG. 7 , the order of manufacturing a specific product and the order in which actual workers are arranged may match, or some processes may not match.

Accordingly, in the work process confirmation process (S110) of the present invention, it can be confirmed whether the batches of the corresponding process are continuous according to the order of manufacturing the requested product, and then in the process optimization process (S140), the batches of the corresponding process are manufactured In the case where they are sequentially arranged according to the order, as shown in FIG. 7 , at least one of equipment resources and human resources for a process with an average required time or less may be allocated to a process with a longer average required time.

On the other hand, each ordering party secures a certain amount of spare equipment in preparation for the failure of available equipment as well as available equipment.

Accordingly, when the batches of the corresponding process are not continuously disposed in response to the manufacturing order, at least one of spare equipment resources and human resources not input to each process can be checked in the process-specific resource confirmation process (S120), and the subsequent process In the optimization process (S140), at least one of spare equipment resources and human resources may be allocated to the process exceeding the average required time.

Through this process, according to the order information of the ordering party, the daily work amount can be set as the work standard (S100) and informed to each worker (S200), and then the workers can check the work distributed to them and perform the work can

On the other hand, the purpose of the present invention is to be utilized in the manufacturing process centered on manual work as described above, and when the process is performed manually, the amount of work may vary depending on the condition of each worker.

Therefore, in the process of actually producing the requested product according to the work distribution ( S200 ), it is preferable to perform a process of monitoring and optimizing the productivity for each worker.

In addition, the adjustment process (work balancing) in the process of manufacturing the requested product may be necessary for reasons other than those described above or according to the needs of those skilled in the art.

Hereinafter, the manual monitoring step (S300) and the balancing step (S400) for each process described above will be described.

In the manual monitoring step (S300), with respect to human resources including workers disposed in each process, fixed resources (workers disposed in processes 3 and 4) in charge of only the corresponding process, slack time occurs after performing the corresponding process, Flow resources that can be used in the process (workers assigned to process 1, process 2, process 5, and process 6) and reserve resources that are not input to a specific process can be classified and monitored.

Accordingly, in the balancing step (S400) for each process, the arrangement of at least one of the liquid resource and the reserve resource may be adjusted and redistributed.

In this case, the relocation of each resource may be arranged in consideration of the continuity of each process as described above, and, if necessary, may be arranged by comparing the time deviation with respect to the total average time Tave. For example, a workload having a large excess time deviation with respect to the total average time Tave may be arranged as a workload having a large spare time deviation, and a workload having a small excess time deviation may be arranged as a workload having a small spare time deviation.

In addition, the relocation of each resource may be determined by the amount of production per unit time for each process.

In other words, the relocation of each resource may be arranged based on time as described above, or may be arranged based on production.

Specifically, in the process-specific balancing step (S400), the production per unit time of at least one of the previously identified liquid resources and reserve resources is checked, and the time deviation greater than the average required time of the entire process is exceeded per unit time of the process. Compared with the production amount, at least one of the corresponding liquid resource and the reserve resource may be redistributed.

Such a difference may be divided into a case in which the daily production amount is determined (distributed by the required time) and a case in which the daily working hours are determined (distributed by the production amount per unit time), and may also vary according to the needs of the ordering party and those skilled in the art.

For example, when a fluid resource is input to converge the required time of the entire process to the average required time (Tave) in the balancing step for each process (S400), the equipment currently operated by the worker is checked, and the equipment is operated It is a process in which a time deviation greater than the average required time of the entire process is generated among the processes used, and the free time of the corresponding flow resource can be redistributed. This method is called balancing 1, and can be applied when the working environment is mainly divided around the same equipment and equipment of adjacent processes can be used.

In other words, balancing 1 can check whether the required time for each process exceeds the average required time (Tave) or whether there is room, and redistribute the flow resources of the process with the excess to the process.

In this case, it goes without saying that in the balancing step (S400) for each process, the proficiency of each process of the fluid resource can be checked, and weights according to the skill of the fluid resource can be assigned to the spare time and distributed.

As another example, when preliminary resources are input in order to converge the required time of the entire process to the average required time (Tave) in the balancing step for each process (S400), the worker checks the available processes, and the entire process among the available processes It is possible to allocate the spare resource to the process in which the time deviation greater than the average required time has occurred. This method is called balancing 2, and it can be applied when there is a limitation in utilizing equipment of adjacent processes because the work environment is arranged in time series according to the order of the process.

In other words, balancing 2 checks whether the time required for each process exceeds the average time required (Tave), and supplies the process with excess resources to lower the time required for the process below the average time required (Tave). .

In this case, as before, it goes without saying that the proficiency of each process of the spare resource can be checked, and a weight can be assigned to the spare time according to the proficiency of the floating resource and distributed.

In addition, in the step-by-process ban lancing step (S400), it is checked whether the batches of the process are continuous according to the order of manufacturing the requested product, and when the batches of the process are not continuously arranged in response to the manufacturing order, the flow At least one of resources and spare resources may be redeployed to a process that exceeds the average required time.

On the other hand, there may be a large number of clients and clients in the relevant field, and in particular, companies engaged in similar business types are often gathered in certain complexes.

In addition, there are cases where the specific process of a specific company has relatively high productivity, efficiency and reliability compared to other companies.

Accordingly, if related companies existing in the region are formed into one network and the companies existing in the network are connected when manufacturing a specific product, overall productivity in the relevant field can be improved.

Hereinafter, FIGS. 3 to 5 may be performed in a separate server that manages the ordering party in connection with the ordering party.

3 is a flowchart illustrating a specific embodiment of step 'S600' shown in FIG. 1 .

Referring to FIG. 3 , the process linkage optimization step ( S600 ) may include an order destination selection process ( S610 ), an available resource confirmation process ( S621 ), a balancing prediction process ( S631 ), and an order destination determination process ( S640 ).

In detail, when a specific ordering party requests for the manufacture of a specific product, after selecting a recipient that can manufacture the requested product (S610), when the requested product is received, the estimated average demand for each client Based on the time and time deviation, at least one order destination may be selected and an order may be placed (S640).

At this time, after the order recipient selection process (S610), check the work standard of the recipient, check the currently allowed spare time for each process, spare equipment manpower and spare manpower resources (S621), and if the requested product is received By performing virtual balancing for each order recipient (S631), it is possible to minimize the work load of each order recipient when manufacturing the requested product.

In addition, the order recipient selection process ( S610 ) to the balancing prediction process ( S640 ) shown in FIG. 3 are performed when the recipient receives an order for an additional requested product while the specific requested product is currently being manufactured. of available resources can be used efficiently.

Therefore, it is possible to prevent a decrease in productivity of a product as the workload is concentrated on a specific customer, and at the same time, always maintain the quality of the product above a certain level.

Through this, it is possible to greatly improve the reliability of consumers in the relevant field, which can have the effect of improving national competitiveness in the relevant field.

4 is a flowchart illustrating another specific embodiment of step 'S600' shown in FIG. 1 .

Referring to FIG. 4 , the process linkage optimization step (S600) may include an order destination selection process (S610), a work standard confirmation process (S622), a process-specific productivity confirmation process (S632), and an order destination determination process (S640). have.

First, if a customer capable of manufacturing the requested product is selected (S610), the work standard of the corresponding order party is checked and the work standard for the requested product is checked (S622), and then the productivity for each process of manufacturing the requested product is selected (S622). can be confirmed (S632), by selecting a high-productivity order recipient for each process, and placing an order for the production of the requested product to each order recipient for each process.

For example, when the process of manufacturing the requested product includes the first to sixth processes, as a result of checking the productivity of the intermediate product for each process, company A has high productivity in the first to fourth processes, If the productivity of the 5th process and the 6th process is high, the company B can receive the orders for the 1st to 4th processes from the company A and the 5th and 6th processes from the company B for the requested product.

Accordingly, company A may perform the first to fourth processes and transfer the intermediate product manufactured by the corresponding process to company B, and company B receives the intermediate product transferred from company A and receives the fifth process and manufacturing process 6 process can proceed.

In this case, the manufacturing time of the requested product may include the time it takes for the intermediate product to move between the selected companies.

Accordingly, according to the present invention, with respect to the recipients selected in the order target determination process ( S640 ), time loss for the moving distance between the respective recipients is added to select a recipient that minimizes the overall required time.

5 is a flowchart illustrating another specific embodiment of step 'S600' shown in FIG. 1 .

Referring to FIG. 5 , the process linkage optimization step (S600) may include an order destination selection process (S610), a work standard confirmation process (S622), a productivity confirmation process for each order destination (S633), and an order destination determination process (S640). have.

First, if a customer capable of manufacturing the requested product is selected (S610), the work standard of the corresponding order party is checked and the work standard for the requested product is checked (S622), and then for each process of manufacturing the requested product After checking the productivity per unit time for each order partner (S633) and placing an order for the production of the requested product to at least two clients, select a client that minimizes the average time required for the entire process of at least two clients and place an order can be (S640).

In this case, in the order destination determination process ( S640 ), the order destination that minimizes the overall average required time may be selected by adding a time loss for the moving distance between each order destination with respect to the selected order destinations.

Referring to FIG. 4 and FIG. 5 by comparison, FIG. 4 is to determine a recipient for each process, and FIG. 5 is to determine a recipient for performing a specific process.

In this way, when an order destination is selected for a specific process, it is possible when the order destinations are located very close. For example, in the case of a factory-type apartment in which companies in the relevant field are gathered, since each company is located on the same floor or adjacent floors, each process can be ordered from two or more clients.

In this way, when ordering each process from two or more customers, productivity can be improved compared to placing an order for each process.

Therefore, selecting any one of the process of FIG. 4 and the process of FIG. 5 may vary depending on what type of complex the companies are in, and may be selectively applied according to various reasons or the needs of those skilled in the art. Of course.

In the above, a method for managing a work network in the field of manual manufacturing according to the present invention has been described. Those skilled in the art to which the present invention pertains will understand that the technical configuration of the present invention may be implemented in other specific forms without changing the technical spirit or essential characteristics of the present invention.

Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

Claims (10)

a work standardization networking step of confirming the requested product information for the requested product and the work standard for each requested product for a plurality of clients, and matching the work standard for the plurality of clients for each requested product; and
When manufacturing of the requested product is requested, a process linkage optimization step of optimizing the manufacturing process of the requested product by confirming a work standard matched with the requested product and linking at least two ordering parties; characterized in that it comprises a; How to manage a network of operations in the field of manual manufacturing.
The method of claim 1,
The process link optimization step is,
a process of selecting a recipient that can manufacture the requested product; and
Manual manufacturing comprising a; How to manage a network of work in the field.
3. The method of claim 2,
Between the process of selecting the recipient and the process of determining the recipient,
the available resource verification process to check the work standards of the recipient and check the currently allowed spare time for each process, spare equipment mangers, and spare manpower; and
A work network management method in the manual manufacturing field, characterized in that it further comprises; a balancing prediction process of performing virtual balancing for each order recipient in case of receiving an order for the requested product.
4. The method of claim 3,
The order destination selection process or balancing prediction process is
A work network management method in the manual manufacturing field, characterized in that it is performed when the receiving party receives an order for an additional requested product while it is currently manufacturing a specific requested product.
3. The method of claim 2,
The process link optimization step is,
a process of selecting a recipient that can manufacture the requested product;
The work standard confirmation process of confirming the work standard of the relevant contracting party and confirming the work standard for the requested product;
Process-specific productivity verification process to check productivity by each process of manufacturing the requested product; and
A work network management method in the manual manufacturing field, comprising: selecting a high-productivity customer for each process, and placing an order for each process to produce the requested product for each process.
6. The method of claim 5,
The process of determining the recipient is,
A method for managing a work network in the manual manufacturing field, characterized in that, for the selected recipients, a recipient whose total required time is minimized is selected by adding a time loss for a movement distance between each client.
3. The method of claim 2,
The process link optimization step is,
a process of selecting a recipient that can manufacture the requested product;
The work standard confirmation process of confirming the work standard of the relevant contracting party and confirming the work standard for the requested product;
Productivity verification process for each client, which checks the productivity per unit time for each client for each process of manufacturing the requested product; and
In the case of placing an order for the production of the requested product from at least two clients, the order source determination process of selecting and placing an order from which the average time required for the entire process of the at least two clients is minimized; characterized in that it comprises a How to manage a network of operations in the field of manual manufacturing.
8. The method of claim 7,
The process of determining the recipient is,
A method for managing a work network in the manual manufacturing field, characterized in that, for the selected recipients, a client whose overall average required time is minimized is selected by adding a time loss for a movement distance between each client.
9. The method according to any one of claims 1 to 8,
Before the work standardization networking step,
Manual manufacturing field, characterized in that it further comprises; a work standardization and work distribution step of analyzing and standardizing work information for manufacturing the requested product for each order recipient, and distributing the work for manufacturing the requested product for each worker How to manage your working network.
10. The method of claim 9,
Between the work standardization and work distribution step and the work standardization networking step,
By monitoring the amount of work of the workers for each manufacturing process of the requested product, based on at least one of the process time deviation, which is a time deviation of the work for each process, and the worker time deviation, which is the time deviation of the work for each worker, adjusting the arrangement of the workers for each process Process-specific balancing step; Work network management method in the field of manual manufacturing, characterized in that it further comprises.

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