KR102281079B1 - Apparatus and method for distributing orders to equipment in the processing process - Google Patents

Abstract

A distributing device is provided. The distributing device comprises: a scheduling unit generating an order based on an analysis result of manufacturing information and facility information; a simulation unit for simulating an operation of a facility included in the entire manufacturing line by using the order and the facility information; and an analysis unit that compares output information outputted from the simulation unit with the manufacturing information inputted to the scheduling unit.

Description

Apparatus and method for distributing orders to equipment in the processing process

The present invention relates to an apparatus and method for distributing orders or distributing work sequences to manufacturing line equipment.

The wiring harness, an electric and electronic wiring system for automobiles, binds wires, connectors, and power distribution devices for the purpose of transmitting power and signals between in-vehicle systems (lighting, signal, air-conditioning, electric, safety, audio, etc.) refers to one item.

Various systems related to user convenience and safety have been continuously increasing in automobiles, and recently, electric and electronic devices. In order to realize a connected-car that is convergence with information and communication technology, various electronic components are additionally required. As the proportion of automotive electronic components increases, the number and length of wiring harness circuits increase as well as the complexity of products.

The wiring harness manufacturing process consists of four main steps: wire rod processing, assembly, inspection, and packaging. Among the four-step manufacturing process, the processing process has 18 unit processes, and it is a very complex process that has a decisive influence on the quality of the product. In addition, it has the characteristics of a labor-intensive industry while using many facilities, so research on improving productivity by operating facilities efficiently is becoming more and more important. In particular, in terms of production and operation systems, the demand for process organization through simulation and optimization of quantity distribution in facilities to achieve reduction of man-hours and costs is continuously increasing. The basic requirements for achieving optimization of quantity distribution to facilities in the production system can be viewed from three aspects. First, it is necessary to allocate work evenly in consideration of the equipment load of the input order; second, it must be possible to schedule the work order that minimizes the job change of the work order assigned to the equipment; It should be possible to allocate work in consideration of minimizing lead time.

However, the domestic wiring harness industry is trying to introduce MES (Manufacturing Execution System) or POP (Point of Production) due to the recent smart factory distribution and expansion business, and although more and more places are using the production system in some parts, there is still a simulation It is not possible to introduce and utilize a production operation management system that can analyze the current situation and give feedback back to the field. In addition, unlike the activation of plant simulation and scheduling system in the line production process, it is true that research on optimization of quantity distribution in mixed production lines such as wiring harness processing is insufficient. This is because the wiring harness line has a daily input volume of close to 1 million pieces and many processes are performed by humans, so it is very difficult to accurately predict the production lead time, optimal process distribution, and quantity distribution and scheduling for each unit.

Korean Patent Publication No. 1227880 discloses a manufacturing diagnosis system supporting diagnosis and evaluation of manufacturing processes of a subject to be diagnosed and an information processing method of the system.

Korean Patent Publication No. 1994-0700236

An object of the present invention is to provide a distribution apparatus and a distribution method for allocating an optimal order or work sequence to manufacturing line equipment based on process routing information for each item provided by a Manufacturing Execution System (MES).

The distribution apparatus of the present invention includes: a scheduling unit for generating an order based on the analysis result of manufacturing information and equipment information; a simulation unit for simulating the operation of facilities included in the entire manufacturing line by using the order and the facility information; and an analysis unit that compares the output information output from the simulation unit and the manufacturing information input to the scheduling unit.

When the output information is analyzed by the analysis unit as satisfying the manufacturing information, the scheduling unit may determine the current order as distribution information to be distributed to the actual manufacturing line.

The distribution method of the present invention includes an acquisition step of acquiring manufacturing information and equipment information of the entire manufacturing line; a scheduling step of analyzing the manufacturing information and the facility information, and generating an order corresponding to a task to be performed for each facility included in the facility information; a simulation step of simulating an operation of equipment included in the entire manufacturing line by using the order and the equipment information, and generating output information indicating a manufacturing result output from the entire manufacturing line by the operation of each equipment; an analysis step of comparing the output information with the manufacturing information; and a distribution step of determining the current first order as distribution information to be allocated to the actual manufacturing line when the output information is analyzed to satisfy the manufacturing information.

In the distributing step, if it is analyzed that the output information does not satisfy the manufacturing information, a second order corresponding to a modified order of the current first order or a new order may be provided to the simulation unit.

The distributing apparatus of the present invention can simulate how distributing orders for each facility of a manufacturing line leads to optimal results.

The distribution apparatus of the present invention can simulate the detailed order (including the work order) distributed to the facilities of the manufacturing line in a state in which the entire order assigned to the manufacturing line is fixed without modification.

The distributing apparatus of the present invention can simulate the production result of the entire manufacturing line that varies according to the changed detailed order. The production results of the entire manufacturing line depending on the changed detailed order can be obtained through an analytical model generated by machine learning.

When the production result output from the entire manufacturing line satisfies the target value, the distribution apparatus of the present invention may determine a detailed order currently allocated to each facility as facility distribution information for the entire order.

According to the present invention, different work capabilities for each facility and work required time for each order specification can be comprehensively considered, and the waiting time between processes can be minimized and lead time can be shortened.

In addition, according to the present invention, the optimal work assignment can be made for each facility of the mixed flow production line in spite of the dynamic quantity fluctuation, and the load imbalance can be resolved. By resolving the load imbalance, the matching rate of actual work units compared to work orders, that is, the work compliance rate, can be dramatically improved.

In addition, the optimized order allocation result of the present invention is directly linked to the MES, and therefore, it is unnecessary to calculate the number of units dispatching rule (Dispatching Rule). By providing the optimal combination of equipment and tools for the local plant by performing a simulation based on the scenario, there is an effect of reducing the man-hours of the manager for calculating the existing tools.

1 is a schematic diagram showing a dispensing device of the present invention.
2 is a graph showing the operating load of the equipment.
3 is a graph showing another operating load of the equipment.
4 is a diagram showing an initial task assignment of a heuristic algorithm in a manufacturing process according to the present invention.
5 is a diagram showing a basic flow of a heuristic algorithm.
6 is a diagram showing the structure of a heuristic engine of the equipment allocation optimization application of the order in the manufacturing process according to the present invention.
7 is a flowchart illustrating a distribution method of the present invention.
8 is a diagram illustrating a computing device according to an embodiment of the present invention.

Hereinafter, with reference to the accompanying drawings, embodiments of the present invention will be described in detail so that those of ordinary skill in the art to which the present invention pertains can easily implement them. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

In the present specification, duplicate descriptions of the same components will be omitted.

Also, in this specification, when it is mentioned that a certain element is 'connected' or 'connected' to another element, it may be directly connected or connected to the other element, but another element in the middle. It should be understood that there may be On the other hand, in this specification, when it is mentioned that a certain element is 'directly connected' or 'directly connected' to another element, it should be understood that the other element does not exist in the middle.

In addition, the terms used herein are used only to describe specific embodiments, and are not intended to limit the present invention.

Also, in this specification, the singular expression may include the plural expression unless the context clearly dictates otherwise.

Also in this specification, terms such as 'include' or 'have' are only intended to designate that the features, numbers, steps, operations, components, parts, or combinations thereof described in the specification exist, and one or more It should be understood that the existence or addition of other features, numbers, steps, operations, components, parts or combinations thereof is not precluded in advance.

Also in this specification, the term 'and/or' includes a combination of a plurality of listed items or any of a plurality of listed items. In this specification, 'A or B' may include 'A', 'B', or 'both A and B'.

Also, in this specification, detailed descriptions of well-known functions and configurations that may obscure the gist of the present invention will be omitted.

1 is a schematic diagram showing a dispensing device of the present invention.

The distribution apparatus shown in FIG. 1 may include an acquisition unit 100 , a scheduling unit 200 , a simulation unit 300 , and an analysis unit 400 .

The acquisition unit 100 may acquire manufacturing information and facility information of the entire manufacturing line. Manufacturing information and facility information may be input by a user through an input means such as a keyboard. The facility information may include various types of information defined in a Manufacturing Execution System (MES).

The manufacturing information may include information on the type and quantity of a product to be manufactured within a set time according to a customer's product order.

The facility information may include at least one of process configuration information equipped with automatic process operation conditions and configuration information of a workshop (manufacturing line) equipped with facility registration status. In addition, the facility information may include at least one of facility information equipped with facilities, specifications, facility utilization rates, etc., processing time for each working condition, and limited tool information for each facility including a mold, a seal, and a ship type.

The scheduling unit 200 may analyze the manufacturing information and facility information obtained through the acquisition unit 100 . The scheduling unit 200 may generate an order corresponding to a task to be performed for each facility included in the facility information based on the analysis result and distribute the order to each facility. The task of generating an order in the scheduling unit 200 may correspond to order scheduling.

The order is the amount of work or type of work assigned to each facility in accordance with the customer's order information, the number of set operations performed to achieve the assigned work amount, the number of replacements of ancillary means to achieve the assigned work amount, and the number of replacements in the same facility. It may include an operation sequence when a plurality of types of operations are performed. The accessory means may include a mold, core, wire, etc. used to manufacture the product included in the customer's order information.

The simulation unit 300 may simulate the operation of equipment included in the entire manufacturing line by using order and equipment information generated by order scheduling. It is possible to generate output information indicating a manufacturing result output from the entire manufacturing line by the operation of each facility.

The analysis unit 400 may compare the output information output from the simulation unit 300 with the manufacturing information input to the scheduling unit 200 . The analysis unit 400 may transmit the comparison result of the output information and the manufacturing information to the scheduling unit 200 . The comparison result may include whether the output information satisfies the manufacturing information.

When the output information is analyzed as satisfying the manufacturing information by the analysis unit 400 , the scheduling unit 200 may determine the current order as equipment distribution information to be allocated to the actual manufacturing line.

When the output information is analyzed by the analysis unit 400 as dissatisfied with the manufacturing information, the scheduling unit 200 generates a second order corresponding to a modified order of the current first order or a new order by the simulation unit 300 . ) can be provided. The simulation result to which the second order and facility information are input may be re-analyzed by the analysis unit 400 . According to the re-analysis result, the second order may be determined as distribution information, or another order may be generated and provided to the simulation unit 300 .

The analysis unit 400 may use the output information simulated and output in units of the entire manufacturing line as a comparison object with the manufacturing information, without considering the simulation results of individual facilities. According to this embodiment, the case of using the production capacity of each facility to the limit can be reduced. So-called, order scheduling that satisfies manufacturing information while operating each facility widely is possible.

On the other hand, according to a specific order determined by the distribution information, a case may occur in which the operating load of some facilities approaches a threshold value. For reference, it is recalled that the following description relates to an order determined to satisfy the manufacturing information as a result of the simulation.

2 is a graph showing the operating load of the equipment. 3 is a graph showing another operating load of the equipment.

When the operating load of the equipment satisfies the threshold value, it may mean that the corresponding equipment fails or malfunctions. Therefore, basically, the distribution information may be generated in a state where the operating loads of all facilities do not satisfy the threshold value.

Although the upper operating limit did not exceed the threshold, the operating load approaching the threshold means that the equipment operating according to a specific order is overused, which may shorten the life of the equipment or require continuous maintenance. can

Therefore, it is preferable to provide a management plan for a specific load that satisfies the set value within the range in which the operating load does not exceed the threshold.

In order to prevent shortening of the lifespan of some facilities, the analysis unit 400 may analyze the operating load of each facility using output information. As an example, the analyzer 400 may set a specific facility that satisfies a set value within a range in which the operating load does not exceed the threshold value as the facility of interest. In other words, a specific facility having an operating load that is less than the threshold and greater than or equal to the set value may be set as the facility of interest. A section less than the threshold value and greater than or equal to the set value with respect to the operating load is defined as the region of interest.

The analysis unit 400 may transmit the comparison result of the output information and the manufacturing information to the scheduling unit 200 together with the information on the facility of interest.

When the equipment of interest is matched with respect to the specific distribution information, the scheduling unit 200 may transmit the information on the equipment of interest to the terminal of the manager.

The manager who has checked the information of the facility of interest through the terminal can focus on maintenance work such as continuously monitoring the facility of interest.

On the other hand, it is advantageous to exclude facilities of interest as much as possible. In order to exclude a facility of interest, the scheduling unit 200 may store the current distribution information once when the facility of interest is included in the current distribution information even in a situation in which distribution information is normally output. In a state in which the current distribution information is stored, the scheduling unit 200 may provide the simulation unit 300 with a second order corresponding to a modified order of the current first order or a new order.

For example, according to the current distribution information as shown in FIG. 2 , the operating load of the No. 5 facility may exist in the ROI. In this case, the scheduling unit 200 may store the corresponding distribution information in the storage unit instead of directly outputting it, and perform new scheduling, simulation, and analysis.

The simulation unit 300 may output output information by performing a simulation according to the corresponding second order. The analysis unit 400 may newly analyze the corresponding output information and transmit the analysis result to the scheduling unit 200 .

When it is determined or analyzed by the analysis unit 400 that there is no facility in the region of interest for which the operating load is present, the scheduling unit 200 replaces the distribution information stored in the existing storage unit for a new distribution including the current second order. information can be printed. According to the new distribution information, all the equipment on the manufacturing line can be operated in a very normal state that both the threshold and the region of interest are dissatisfied.

Meanwhile, according to a customer's order or a current state of a production facility, there may be a facility continuously located in an area of interest despite input of a new second order.

For example, in FIG. 2 , lowering the operating load of facility No. 5 corresponding to the facility of interest may indicate that another facility, for example, facility No. 1, replaces a part of the work of facility No. 5 . Accordingly, when the second order for lowering the operating load of a specific facility is performed, the operating load of other facilities may tend to increase. Nevertheless, the optimal distribution information state can be such that the operating loads of all installations do not encroach on the area of interest.

However, as shown in FIG. 3 , when the operating load of the No. 5 facility is lowered, the No. 1 facility may newly enter the ROI due to an increase in the operating load of the No. 1 facility.

In this case, it may be practically difficult to extract a new second order in which all facilities do not invade the ROI. If the new second order is reproduced in this state, desired distribution information may never be output even if scheduling and simulation are repeated many times. Accordingly, once the normal distribution information is output and some facilities exist in the ROI in the distribution information, the scheduling unit 200 may generate a new second order within a set number of times. Accordingly, the simulation operation of the simulation unit 300 and the analysis operation of the analysis unit 400 may also be repeated within a set number of times.

A distribution operation is defined in which the scheduling of the scheduling unit 200 , the simulation of the simulation unit 300 , and the analysis of the analysis unit 400 performed in order are one cycle.

The scheduling unit 200 may store all distribution information generated within a set number of times. If, while repeating the distribution operation within the set number of times, specific distribution information is derived that the operating loads of all facilities do not satisfy the threshold value and the region of interest, the scheduling unit 200 ignores other pre-stored distribution information and the specific distribution information can only be printed.

Meanwhile, even if the distribution operation is repeated for a set number of times, if specific distribution information for which the operational loads of all facilities do not satisfy the threshold value and the region of interest are not derived, the scheduling unit 200 may output all the stored distribution information together.

A user may refer to a plurality of distribution information and select and use distribution information in which a specific facility, which is easy to manually manage, exists in an ROI.

Meanwhile, the scheduling unit 200 may arrange a plurality of pieces of distribution information and output only some distribution information.

For example, the analyzer 400 may divide the ROI into a first section d1 and a second section d2. The first section d1 may be a section close to the set value compared to the second section d2. The second section d2 may be a section close to the threshold value compared to the first section d1.

Another section may exist between the first section d1 and the second section d2. Another section may exist between the first section d1 and the set value. Another section may exist between the second section d2 and the threshold value.

The scheduling unit 200 may compare a plurality of pieces of distribution information including facilities existing in the ROI with each other.

In the first distribution information and the second distribution information, the number of facilities of interest may be the same. In this case, if it is analyzed that the facility with the highest operating load in the first distribution information exists in the first section d1 and the facility with the highest operating load in the second distribution information exists in the second section d2, the scheduling unit 200 ) may output the first distribution information among the first distribution information and the second distribution information.

The number of facilities of interest may be different from the first distribution information and the second distribution information. As an example, in the distribution information of FIG. 2 , the number of facilities of interest may be one facility No. 5, and in the distribution information of FIG. 3 , the number of facilities of interest may be No. 1 and two No. 5 facilities. In other words, the number of facilities of interest in the first distribution information may be less than the number of facilities of interest in the second distribution information. Instead, a facility having the highest operating load in the first distribution information may exist in the second section d2, and a facility having the highest operating load in the second distribution information may exist in the first section d1.

In other words, some of the plurality of distribution information may have facilities close to the threshold value instead of having a small number of facilities of interest, and in others, there may be no facilities close to the threshold value instead of having a large number of facilities of interest. In the former case, if monitoring of specific facilities close to the threshold value is strengthened, there is no need to pay much attention to the rest of the facilities. In the latter case, if only maintenance of a plurality of facilities of interest is performed on a regular basis, it may be advantageous that individual monitoring of a specific facility of interest is not required. Since each has its own merits, in the basic mode without a user's preset setting, the scheduling unit 200 may output both the first distribution information and the second distribution information.

The scheduling unit 200 may schedule an order using a mathematical algorithm or a heuristic algorithm implemented as a mathematical model.

4 is a diagram showing an initial task assignment of a heuristic algorithm in a manufacturing process according to the present invention, and FIG. 5 shows a basic flow of the heuristic algorithm.

6 is a diagram showing the structure of a heuristic engine of the equipment allocation optimization application of the order in the manufacturing process according to the present invention.

The heuristics engine includes a solution pool 221 , a solution generator 222 , and an evaluation module 223 . The heuristic engine may generate a local search target to search for an improved solution. Specifically, the solution generator may generate a search target based on the conformity assessment result and provide it to the engine. When the sun deteriorates in the area search process, how much longer area search will continue is determined through experiments using data from each site. The solution quality evaluation module 223 is used for calculating a score for evaluating the quality of the assigned result. If there is a change in the solution, the score must be recalculated. Since only the objects that need calculation are selected and calculated, unnecessary calculation is not performed, so the score calculation speed is fast. Since the evaluation expression can be changed with the editor, if the evaluation method needs to be changed, it can be edited externally without coding.

7 is a flowchart illustrating a distribution method of the present invention.

The distributing method of FIG. 7 may be performed by the distributing apparatus shown in FIG. 1 .

The distribution method may include an acquisition step (S510), a scheduling step (S520), a simulation step (S530), an analysis step (S540), and a distribution step (S550).

In the acquiring step ( S510 ), manufacturing information and facility information of the entire manufacturing line may be acquired. The acquiring step may be performed by the acquiring unit 100 .

The scheduling step ( S520 ) may analyze the manufacturing information and facility information obtained through the acquisition unit 100 , and may generate an order corresponding to a task to be performed for each facility included in the facility information. In this case, the order is not randomly generated, but may be generated within a range that can normally generate the manufactured product ordered by the customer. The scheduling step performed by the scheduling unit 200 may use a heuristic engine.

In the simulation step ( S530 ), the operation of the equipment included in the entire manufacturing line may be simulated using the order and equipment information. The simulation step performed by the simulation unit 300 may generate output information indicating a manufacturing result output from the entire manufacturing line by the operation of each facility.

In the analysis step S540 , the output information output from the simulation unit 300 may be compared with the manufacturing information input to the scheduling unit 200 , and the comparison result may be transmitted to the scheduling unit 200 . The comparison result may include whether the output information satisfies the manufacturing information. The analysis step may be performed by the analysis unit 400 .

In the distribution step ( S550 ), if it is analyzed that the output information satisfies the manufacturing information, the current order may be determined as the distribution information to be distributed to the actual manufacturing line. The distribution step may be performed by the scheduling unit 200 . In the distribution step, if the output information is analyzed as unsatisfactory with the manufacturing information by the analysis unit 400 , the second order corresponding to the corrected order of the current first order or the second order corresponding to the new order is provided to the simulation unit 300 . can do.

8 is a diagram illustrating a computing device according to an embodiment of the present invention. The computing device TN100 of FIG. 8 may be a device (eg, a distribution device, etc.) described herein.

In the embodiment of FIG. 8 , the computing device TN100 may include at least one processor TN110 , a transceiver device TN120 , and a memory TN130 . In addition, the computing device TN100 may further include a storage device TN140 , an input interface device TN150 , an output interface device TN160 , and the like. Components included in the computing device TN100 may be connected by a bus TN170 to communicate with each other.

The processor TN110 may execute a program command stored in at least one of the memory TN130 and the storage device TN140. The processor TN110 may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to an embodiment of the present invention are performed. The processor TN110 may be configured to implement procedures, functions, methods, and the like described in connection with an embodiment of the present invention. The processor TN110 may control each component of the computing device TN100 .

Each of the memory TN130 and the storage device TN140 may store various information related to the operation of the processor TN110 . Each of the memory TN130 and the storage device TN140 may be configured as at least one of a volatile storage medium and a non-volatile storage medium. For example, the memory TN130 may include at least one of a read only memory (ROM) and a random access memory (RAM).

The transceiver TN120 may transmit or receive a wired signal or a wireless signal. The transceiver TN120 may be connected to a network to perform communication.

On the other hand, the embodiment of the present invention is not implemented only through the apparatus and/or method described so far, and a program for realizing a function corresponding to the configuration of the embodiment of the present invention or a recording medium in which the program is recorded may be implemented. And, such an implementation can be easily implemented by those skilled in the art from the description of the above-described embodiments.

Although the embodiment of the present invention has been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements by those skilled in the art using the basic concept of the present invention as defined in the following claims are also presented. It belongs to the scope of the invention.

100...Acquisition Department 200...Scheduling Department
300...simulation unit 400...analysis unit

Claims (11)

a scheduling unit generating an order based on the analysis result of the manufacturing information and the facility information;
a simulation unit for simulating the operation of facilities included in the entire manufacturing line by using the order and the facility information;
and an analysis unit that compares the output information output from the simulation unit and the manufacturing information input to the scheduling unit;
When the output information is analyzed by the analysis unit as satisfying the manufacturing information, the scheduling unit determines the current order as distribution information to be distributed to the actual manufacturing line,
The analysis unit analyzes the operating load of each facility using the output information,
The analysis unit sets a specific facility that satisfies the set value within the range where the operating load does not exceed the threshold as the facility of interest,
The analysis unit transmits the comparison result of the output information and the manufacturing information to the scheduling unit together with the information on the equipment of interest,
When defining a section that is less than the threshold and greater than or equal to the set value as the region of interest,
The scheduling unit generates a new second order within a set number of times when normal distribution information is output once and some facilities exist in the area of interest in the distribution information,
The simulation operation of the simulation unit and the analysis operation of the analysis unit are repeated within the set number of times,
When defining a distribution operation in which the scheduling of the scheduling unit performed in order, the simulation of the simulation unit, and the analysis of the analysis unit are performed as one cycle,
The analysis unit divides the region of interest into a first section close to the set value and a second section close to the threshold value,
The scheduling unit compares a plurality of distribution information including facilities existing in the region of interest with each other,
In the first distribution information and the second distribution information, the number of the equipment of interest is the same, the equipment having the highest operating load in the first distribution information exists in the first section, and in the second distribution information, the facility having the highest operating load is the same. When it is analyzed that the facility exists in the second section, the scheduling unit outputs the first distribution information among the first distribution information and the second distribution information.
According to claim 1,
When the output information is analyzed by the analysis unit as dissatisfied with the manufacturing information, the scheduling unit provides the simulation unit with the second order corresponding to a modified order of the current first order or a new order,
The result of the simulation to which the second order and the facility information are input is re-analyzed by the analysis unit,
The second order is determined as the distribution information according to a result of the re-analysis, or another order is generated and provided to the simulation unit.
delete According to claim 1,
The scheduling unit transmits the information on the equipment of interest to a terminal of a manager when the equipment of interest is matched with respect to the specific distribution information.
delete delete delete delete delete a scheduling unit generating an order based on the analysis result of the manufacturing information and the facility information;
a simulation unit for simulating the operation of facilities included in the entire manufacturing line by using the order and the facility information;
and an analysis unit that compares the output information output from the simulation unit and the manufacturing information input to the scheduling unit;
When the output information is analyzed by the analysis unit as satisfying the manufacturing information, the scheduling unit determines the current order as distribution information to be distributed to the actual manufacturing line,
The analysis unit analyzes the operating load of each facility using the output information,
The analysis unit sets a specific facility that satisfies the set value within the range where the operating load does not exceed the threshold as the facility of interest,
The analysis unit transmits the comparison result of the output information and the manufacturing information to the scheduling unit together with the information on the equipment of interest,
When defining a section that is less than the threshold and greater than or equal to the set value as the region of interest,
The scheduling unit generates a new second order within a set number of times when normal distribution information is output once and some facilities exist in the area of interest in the distribution information,
The simulation operation of the simulation unit and the analysis operation of the analysis unit are repeated within the set number of times,
When defining a distribution operation in which the scheduling of the scheduling unit performed in order, the simulation of the simulation unit, and the analysis of the analysis unit are performed in one cycle,
The analysis unit divides the region of interest into a first section close to the set value and a second section close to the threshold value,
The scheduling unit compares a plurality of distribution information including facilities existing in the region of interest with each other,
The number of facilities of interest in the first distribution information is less than the number of facilities of interest in the second distribution information, and a facility with the highest operating load in the first distribution information exists in the second section, and operates in the second distribution information When a facility with the highest load exists in the first section, the scheduling unit outputs both the first distribution information and the second distribution information.
A dispensing method performed by a dispensing device, comprising:
an acquisition step of acquiring manufacturing information and equipment information of the entire manufacturing line;
a scheduling step of analyzing the manufacturing information and the facility information, and generating an order corresponding to a task to be performed for each facility included in the facility information;
a simulation step of simulating an operation of equipment included in the entire manufacturing line by using the order and the equipment information, and generating output information indicating a manufacturing result output from the entire manufacturing line by the operation of each equipment;
an analysis step of comparing the output information with the manufacturing information;
a distribution step of determining a current order as distribution information to be allocated to an actual production line when the output information is analyzed to satisfy the production information;
In the analysis step, the operating load of each facility is analyzed using the output information, and a specific facility that satisfies the set value within the range where the operating load does not exceed a threshold value is set as the facility of interest,
When defining a section that is less than the threshold and greater than or equal to the set value as the region of interest,
In the scheduling step, once normal distribution information is output and some facilities exist in the region of interest in the distribution information, a new second order is generated within a set number of times,
When defining a distribution operation in which the scheduling step, the simulation step, and the analysis step performed in order are one cycle,
The analysis step divides the region of interest into a first section close to the set value and a second section close to the threshold value,
The scheduling step compares a plurality of distribution information including facilities existing in the region of interest with each other,
In the first distribution information and the second distribution information, the number of the equipment of interest is the same, the equipment having the highest operating load in the first distribution information exists in the first section, and in the second distribution information, the facility having the highest operating load is the same. If it is analyzed that the facility exists in the second section, the first distribution information is output among the first distribution information and the second distribution information,
The number of facilities of interest in the first distribution information is less than the number of facilities of interest in the second distribution information, and a facility with the highest operating load in the first distribution information exists in the second section, and operates in the second distribution information When the equipment with the highest load exists in the first section, the scheduling unit outputs both the first distribution information and the second distribution information.

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