KR102211437B1 - Production of orders with forecasts, inventory management, integrated planning operating methods - Google Patents

Abstract

The present invention relates to an integrated inventory management operating method for managing inventory by calculating order forecast information based on the MRP, which prevents shortage of the unexpected order progress by organizing an order plan based on order forecast information calculated through the MRP, and shares production and inventory planning information to actively reflect on-site information of each part. In more detail, the method comprises: an information management step of managing and transmitting information (S100); a production plan establishment step of preparing a comparative analysis model (S200); a simulation step of preparing a virtual analysis model which is a validation satisfaction model (S300); a production instruction generation step (S400); a confirmation and indicator generation step (S500); and a production instruction output step (S600).

Description

Integrated inventory management operation method that manages inventory by calculating order prediction information based on MRP {Production of orders with forecasts, inventory management, integrated planning operating methods}

The present invention relates to an integrated inventory management operation method that manages inventory by calculating order prediction information based on MRP, and more particularly, to organize an order plan based on the order prediction information calculated through MRP to proceed with an unexpected order. The production and inventory plan information is shared so that the site situation for each part is actively reflected.After that, when the production plan is confirmed, a series of order application processes including a delivery order, material supply and demand statement, and automatic ordering are performed. It relates to an integrated inventory management operation method that manages inventory by calculating order prediction information based on MRP attempted with one click.

In general, a company's production activities must be equipped with a system that can be supplied in accordance with the necessary items, quantity and time, and as an example of this, “Production Management System” is published.

In addition, the production plan of the latest company is based on IT-based technology, and the production plan is organized when a normal order is received, and a series of information flows from the release/purchase of materials to the delivery of products are managed in total, and SCM (supply chain Management), ERP (Enterprise Resource Management), MRP (Material Requirements Planning), CRM (Customer Relationship Management), and other various solutions have been developed, and each company is using them to build their own systems.

In particular, MRP (Material Requirement Planning) is a concept proposed for smooth material purchasing activities of companies, and includes activities to adjust the level of product provision and inventory along with the timely purchase of materials required for production. It means a series of systems. A company can establish an order plan for materials sensitive to changes in conditions in advance by material requirements planning, and it is possible to shorten production time, control pre-delivery time, and organically combine production and inventory management.

In general, the MRP process uses order receipt information, product information, material information, bill of material (BOM) information, product inventory information, and product and material inventory information in production to minimize the safety stock to calculate material requirements.

As an example of this, Korean Patent Application Publication No. 10-2005-0102580 "A method for calculating material requirements and production plan requirements, and a recording medium in which a program for implementing them is recorded" is disclosed. This technology is a technology that focuses on safety stock when companies use MRP, and it is difficult for workers to predict fluctuations in demand and procurement period, so the safety stock quantity is generally determined according to experience. As a result, the problem that the inventory of products and materials is greatly increased or insufficient is improved.

However, in a complex and rapidly changing business environment such as diversification of products and shortening of product life, the MRP process has more limitations in organically connecting a series of supply chains that connect parts and material suppliers and customers. There is.

In other words, the need for companies to establish all schedules from purchasing, manufacturing and sales of parts, systematically grasping customer demand plans and logistics status, and responding promptly to market changes with high uncertainty and product diversification is becoming more urgent. In addition, due to the globalization of the market, there is a demand for optimization of production activities covering not only domestic business units but also overseas business units.

Accordingly, the present invention provides a system for managing a series of supply chains that organically connect buyers, manufacturers, and suppliers (parts/materials partners, processing companies) based on MRP (Material Requirement Planning). It was developed to promote real flow innovation of manufacturing companies by establishing a global SCM (Global Supply Chain Management) by providing and supporting programs necessary for this. Due to the globalization of the market, it was developed to lead by integrated management of not only domestic business units but also overseas business units. It was to control the time.

Korean Patent Publication No. 10-2006-0007732 "Production Management System" Korean Laid-Open Patent Publication No. 10-2005-0102580 "Method of calculating material requirements and production plan requirements, and recording medium in which a program for implementing them is recorded"

The present invention was created to more actively solve the above problems, and it is difficult for an operator to predict fluctuations in demand and procurement period, so inaccuracies in the number of safety stocks that occur while determining the quantity of safety stocks based on experience in general And, since many problems have occurred in inventory fluctuations of products and materials due to randomness, it is a major problem to provide an operating method that can more accurately predict and manage the safety stock quantity.

In addition, the present invention is to provide an operation method capable of actively preventing an unforeseen order environment, that is, a problem that the delivery date is delayed than the delivery period, by organizing an inventory retention plan through order prediction information other than order order information. .

In addition, the present invention provides an operating method in which various instructions, such as a delivery order, a material supply and demand statement, and an order form, based on the information value calculated by simulation, are automatically generated by one-click so that an order request can be made conveniently based on the predicted order receipt information. Another challenge is to do it.

In order to achieve the above problem, the composition of an integrated inventory management operation method for managing inventory by calculating order prediction information based on the MRP proposed in the present invention is as follows.

The information input and transmitted through the set communication network is classified into at least one compartment and stored in a database (DB) for integrated processing of information, compared with the company's inventory information to create order information, and manage and transmit each information. Information management step (S100); A production plan in which a basic analysis model is prepared by establishing a material consumption plan based on the information extracted from the database (DB) in which the information is stored, and a comparative analysis model is prepared by reflecting the set variable values classified into at least one compartment in the basic analysis model. Establishment step (S200); A simulation step (S300) of virtually determining the basic analysis model and the comparative analysis model, comparing and arranging each result value, and then reflecting the correction value input from the actual site to prepare a virtual analysis model that is a validity satisfaction model (S300); A production instruction generation step (S400) of generating an instruction and indexing a specific result value based on the virtual analysis model; Confirmation and index generation step (S500) of receiving the update information of the information managed and stored in the information management step, collecting the market quality information through the Internet, and collecting the company's quality index, supplier information, procurement quality, and customer satisfaction after product supply; It consists of a production order output step (S600) in which the indexed result values, market quality information, company's quality indicators, and supplier's procurement quality are arranged and included in the production order and transmitted or output through the Internet network according to the selection.

The information management step (S100) includes a classification and storage step (S110) of classifying and storing information input and transmitted through a setting communication network according to consumption amounts and required times of process products, parts, and assemblies; An order information generation step (S120) of transmitting the company's inventory information to the database (DB) to be used as an input value, and outputting a result value compared with the classified and stored information to generate order information (S120); A record management step (S130) of reviewing whether or not the stored information is duplicated or updated, excluding the duplicated information, and when updated, records and stores the updated time to manage each information; It consists of a transmission step (S140) of transmitting the classified and stored information, but transmitting the recorded update information according to a separate input signal.

The production plan establishment step (S200) includes a basic analysis model generation step (S210) of establishing a material consumption plan based on the classification information transmitted from the database (DB) to prepare a basic analysis model; It consists of a comparison analysis model generation step (S220) in which a comparison analysis model is prepared by reflecting the number of delivery days, the supplier's delivery change history, and the variable values of whether or not import is necessary when ordering a process product, parts, or assembly.

The simulation step (S300) includes a virtual determination step (S310) of virtually determining the basic analysis model and the comparison analysis model and outputting a result value; A rearranging step (S320) of arranging the result values of the basic analysis model and the result values of the comparison analysis model in the order of satisfying the set conditions; It consists of a finalizing step (S330) of preparing a virtual analysis model that is a model that satisfies the validity by reflecting the correction value input from the actual site in the model arranged in the setting order.

The production instruction generating step (S400) includes an instruction generating step (S410) of generating an instruction based on a virtual analysis model; It consists of an indexing step (S420) of indexing the required amount of the process product, the time required, and the inventory status of the process product among the result values of the generated instruction.

In the verification and index generation step (S500), update information of the information managed and stored in the information management step is sent, and the update of the information reflected in the basic analysis model is checked to induce modification of the basic analysis model or comparison when the supplier's supply conditions are updated. Information update confirmation step (S510) inducing correction of the analysis model; An index preparation step (S520) of searching and collecting market quality information through the Internet network and collecting information on the number of occurrences of defects in supplier materials, the number of defects in the production process, and number of returns after supply; It consists of an index generation step (S530) in which procurement quality is calculated by the number of occurrences of the defective rate of the supplier's material, the product quality of the company is calculated by the number of occurrences of the defective rate during the production process, and the customer satisfaction is calculated by information on the number of returns after supply.

The production order output step (S600) includes a sorting and arranging step (S610) of sorting and organizing the indexed result value, market quality information related to the result value, procurement quality of suppliers, and customer satisfaction information; The selected information and the company's quality indicators are reflected in the instruction form in a set format, and the company's quality indicators are highlighted in color and output according to the selection or transmitted through the Internet network (S620).

The classification and storage step (S110) includes a process product classification and storage step (S112) of extracting and storing process product requirement information from information input and transmitted through a setting communication network, and partial product requirements information among information input and transmitted through a setting communication network. Partial classification storage step (S114) of extracting and storing, and assembly classification storage step (S116) of extracting and storing the required amount of assembly information from information input and transmitted through the setting communication network, and information input and transmitted through the setting communication network It includes configuring the required time storage step (S118) of extracting and storing the required time of the process product, part, and assembly.

In the comparative analysis model generation step (S220), a comparison analysis model is prepared as many as the number of cases for the number of delivery days of each of the processed products, parts, and assemblies, the delivery change history of the supplier, and the variable value of whether or not import is necessary.

The information update confirmation step (S510) is an update that checks whether the information reflected in the basic analysis model is updated, and then induces the modification of the basic analysis model when the updated information exists, and induces the modification of the comparison analysis model when the supplier's supply conditions are updated. A modification request step (S512); It consists of a correction recording step (S514) of recording and storing the fact of induction of correction to be reflected in the instruction.

The indicator preparation step (S520) includes an automatic search step (S521) of collecting information exposed and updated on a set path through an Internet network, and a supply condition information collection step (S522) of collecting supply conditions of suppliers reflected in the production plan. ), a supply defect recording step (S523) for storing the number of occurrences of defects in the supplier's material, a production defect recording step (S524) for storing the number of defects occurring during the production process, and the number of returns after supply is stored. The return recording step (S525) is further included.

The update and modification request step (S512) includes a basic information update confirmation step (S512a) for confirming the update of the information reflected in the basic analysis model, and a basic analysis model modification request step (S512b) for requesting modification of the basic analysis model when the basic information is updated. ), and a supply condition update confirmation step (S512c) for confirming the update of the supplier's supply condition information, and a comparison analysis model modification request step (S512d) for requesting correction of the comparison analysis model when the supply condition information is updated. .

The index generation step (S530) is a procurement quality index generation step (S532) that calculates a procurement quality index based on the number of occurrences of defects in the supplier material, and a product quality index that calculates the company's product quality index based on the number of defects occurring during the production process. A generation step (S534) and a consumer index generation step (S536) of calculating a consumer satisfaction level with information on the number of returns after supply is further included.

According to the present invention having the above-described configuration, the present invention having the above-described configuration manages information such as supply related to materials and all revision details information, etc., as big data, due to the fact that the reliability of the supplier and the actual site cannot be guaranteed. Therefore, it is possible to create an order optimized for the actual site by reflecting it in the initial production plan and order.

In other words, by organizing the inventory holding plan by reflecting all order prediction information in addition to the order receipt information to the production plan, it is possible to actively prevent shortages in an unforeseen order-taking environment, that is, in the business situation where the order is later than the specified delivery time. It works.

In addition, the present invention provides the production or inventory plan information calculated by changing the user setting value of the production plan organization information by simulating the production plan, and when approval is made for the result, the production plan is determined. There is another effect that can promote the accuracy of production plan organization information by actively reflecting the site situation of each part, including sub-production parts.

In addition, the present invention has another effect of optimizing the simplicity of work as various instructions, such as a delivery order, a material supply and demand statement, and an order form, are automatically generated by one-click based on the information value calculated by the simulation.

1 is a block diagram of an integrated inventory management operation method for managing inventory by calculating order prediction information based on MRP.
2 is a block diagram showing an integrated inventory management operating system for managing inventory by calculating order prediction information based on the MRP configured according to a preferred embodiment of the present invention.
3 is a block diagram showing a detailed configuration of an integrated inventory management operating system for managing inventory by calculating order prediction information based on the MRP configured according to a preferred embodiment of the present invention.
Figure 4 is a flow chart showing an integrated inventory management operating system for managing inventory by calculating order prediction information based on the MRP configured according to a preferred embodiment of the present invention.
5 to 17 are configuration diagrams showing output screens for each step of an integrated inventory management system for managing inventory by calculating order prediction information based on MRP configured according to a preferred embodiment of the present invention.
18 is a block diagram showing an integrated inventory management operating system that manages inventory by calculating order prediction information based on the MRP configured according to a preferred embodiment of the present invention.

Advantages and features of the present invention, and a method of achieving them will become apparent with reference to embodiments described later in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in a variety of different forms. However, this embodiment allows the disclosure of the present invention to be complete, and common knowledge in the technical field to which the present invention pertains. It is provided to completely inform the scope of the invention to those who have, and the invention is only defined by the scope of the claims. In addition, the same reference numerals refer to the same elements throughout the entire specification.

First, a configuration of a system in which the present invention sequentially operates will be described with reference to FIGS. 2 to 18. It should be noted that the configuration of each system operates a separate database (DB) and shares information stored and managed in each database (DB). In addition, a separate DBMS server may be provided to check whether information stored and managed in each database DB is changed or updated.

An order information management unit 10 provided to manage the order registration and order prediction registration information provided from the buyer B as order information for each buyer; And, the order amount of the order registration and order prediction registration information is calculated as the total required amount, A production plan organizer (20) provided to organize a production plan by developing MRP based on the value; And, by receiving the production plan organize information, virtually implements the order confirmation situation, and sets the production plan organize information as a user A simulation unit 30 provided to calculate a production plan for each condition by changing a value; And, when the production plan is confirmed through the simulation unit 30, various instructions including a delivery order, a material supply and demand statement, and an order form are automatically In the inventory management planning integrated system consisting of; a supplier management unit 40 provided to generate,

The simulation unit 30 includes a virtual space generation unit that virtually implements an order confirmation situation based on the production plan organization information provided by the production plan organizer 20; A virtual production volume planning unit that compares and analyzes the amount of orders calculated from the production plan organization information with the amount of inventory held by the company; Consists of; a virtual production processing unit that performs virtual production according to the plan information of the virtual production volume and measures the sales volume at the same time,

The supplier management unit 40 includes: an instruction generating unit for automatically generating a production instruction, a material release instruction, and a material order book based on the production plan information determined by the virtual production volume planning unit; A seller information collection unit that collects information of providers related to the instruction through a network and stores and manages the information in a big data method; Consists of; a transaction condition analysis unit that automatically compares and analyzes the sales condition of the instruction and the supplier, and the supplier management unit 40 provides a production plan to the production plan organizer 20 and the simulation unit 30 when the condition exceeds the set condition. This leads to reorganization.

In other words, the system in which the present invention operates step by step organizes the inventory holding plan by reflecting the order prediction information in addition to the order receipt information to the production plan, so that the order date is delayed than the unforeseen order environment, that is, the order lead time (delivery period). In order to prevent shortages (delivery date elapsed) in the field of business, the order information management unit (10), production plan organization unit (20), simulation unit (30), and supply management unit (40) are included. It is connected through a network centering on the manufacturer, and the information registered in the server is set so that companies that have been granted a certain authority from the manufacturer can view it. Companies that have been given a certain authority can download and upload in the form of an electronic recording medium such as a website screen or a file.

In particular, a database (DB) provided to complete management actions such as storing, extracting, and calculating input or transmitted information automatically searches and collects boss quality information, and classifies existing transaction information according to set values.

The order order information management unit 10 is provided to manage order registration and order prediction registration information provided from the buyer B as order information for each buyer. The order information management unit 10 is connected to the buyer (B) through a wired or wireless network, and after the buyer (B) directly connects at home and abroad through the network, the order information is entered or the order form created by the buyers is electronically. It is provided in the form of a recording medium to receive order information.

And the order information management unit 10 is connected to the buyer (B) by a wired or wireless network and provides the virtual production plan organization information calculated through the simulation unit 30 to the buyer side screen, and the buyer uses the provided virtual information. Therefore, it is reflected in the organization of the order plan including the production capacity of the manufacturer, whether the delivery date is shortened, and the distribution of order quantity.

In addition, the order order information management unit 10 is provided with detailed specifications for the manufacturer-produced products (eg, press devices, injection devices, electronic parts, chemicals, food, steel making, electronic products, materials) to the buyer (B), Sub-products (parts) detailed items and supply and demand information for each provided product are managed in a database (DB).

On the other hand, the buyer (B) can be configured to build a cloud-type system that can be used immediately without working with a separate system program or operating its own server and programmer.

In addition, the production plan organizer 20 according to the present invention is provided to calculate the order amount of order registration and order prediction registration information as the total required amount, and develop the MRP based on the value to organize the production plan. The production plan organizer 20 receives item and delivery date information requested by the buyer 100 as order registration and order prediction registration information, respectively, and organizes a production plan input for each buyer and item. The production plan organization department is structured in a level-based way of BOM (Bill of Material), which is item-specific data including order items, specifications, requirements, expansion requirements, units, and processes.

At this time, the production plan organizer 20 sets the delivery request date and the company's and outsourcing production ratios for the order registration and order prediction registration information, respectively, and generates a sub-product production plan based on the value, while creating a production plan for ordered goods over or shortages and buyers. The production plan including over/shortage by each line, planned operation rate by line, and overproduction history inquiry is organized together. In addition to preparing the basic production plan in this way, a comparative production plan can be prepared by using the values of the variables of the number of days of shipment when ordering processed products, parts, and assemblies stored and managed in the database (DB), the change in delivery history of the supplier, and the need for import. I can. A number of comparative production plans can be prepared according to the value of each variable, and can be prepared based on comprehensive information other than the mentioned information for accurate order confirmation. At this time, information that needs to be set for a period, such as the need for import, will be set to a period equivalent to the customs procedure, which can be changed by the database (DB) administrator.

The simulation unit 30 is provided to receive production plan scheduling information to virtually implement an order confirmation situation, and to calculate a production plan for each condition by changing a user setting value of the production plan scheduling information. At this time, the simulation unit 30 calculates the order amount of the order registration and order prediction registration information as the total required amount, so that the order confirmation situation is virtually implemented, and the simulation result is determined through user approval for each part, and the user is not satisfied. In this case, the optimal production plan is organized by changing user-set values including the delivery request date, company, outsourcing production ratio, sub-product production plan, etc., and orders are expanded.

In other words, the basic production plan prepared by the production plan organizer 20 and the comparative production plan further including variable values are implemented as an order confirmation situation. The virtual implementation of the order status is to allocate the required amount for each part and set the lead time, and the result is confirmed through the approval of the user for each part.

For example, since information that is uniformly reflected does not correspond to the site situation, the user's approval for each part is required. Here, approval refers to final confirmation of the production plan by inputting the correction value at the actual site and reflecting the correction value in the production plan.

The supply management unit 40 includes: an instruction generating unit for automatically generating a production instruction, a material delivery instruction, and a material order book based on the production plan information determined by the virtual production volume planning unit; A seller information collection unit that collects information of providers related to the instruction through a network and stores and manages the information in a big data method; And a transaction condition analysis unit that automatically compares and analyzes the instructions and the sales conditions of the supplier.

In detail, when the production plan is confirmed by the simulation unit 30, it is provided to automatically generate various instructions including a delivery order, a material supply and demand statement, and an order form. In other words, when the production plan is finalized, the production plan is executed with only one click in which all the information input in the previous step of the supplier management department is generated in the form of an instruction, thereby optimizing the conciseness of work.

In addition, the supply management unit 40 is further provided with a purchase procurement management unit 50 that manages the material supply and demand statement for the required materials calculated by the production plan organization unit 20, and an elected delivery management unit 60 that manages material input/output instructions. . Purchasing and procurement management unit (50) is in charge of material purchase procurement management including material ordering ratio, material purchase unit price, material supply and demand, number of days prior to material delivery, and material receipt and receipt, and the selection management unit (60) is in charge of material warehouse holiday, material departure and It manages the incoming and outgoing of materials including arrivals, imported materials, outsourcing products, and warehousing returns.

On the other hand, the supplier management unit 40 performs sales management including the buyer order structure, the buyer payment structure, the unit of sale price, the order prediction, the order change history, the order lead time violation status.

Here, the supplier management unit 40 stores information on a wide range of partners linked to the company's inventory material status, purchase procurement management unit 50 and elected delivery management unit 60 in a database (DB).

In addition, when creating an instruction, it is possible to index the required amount, required time, and inventory status of materials belonging to the process product. This is to emphasize this because process products may have a high defect rate or high outsourcing rate. By adding a separate indexing function in this way, confusion in the actual site can be actively prevented. After the production plan is confirmed and before the instruction is generated, updates of information stored and managed in the database (DB) are automatically searched to prepare for unforeseen circumstances. If the information update occurs, the above-described operation is repeated to reorganize the production plan to improve the accuracy of the production plan.

Furthermore, in addition to collecting information of the seller, that is, the supplier through the set internet network, it searches and collects market quality information, and the number of occurrences of the defective rate of supplied supplier materials occurring in the actual site, the number of occurrences of the defective rate during the production process, and supply After that, information on the number of returns can be stored and managed to prepare quality indicators, and the prepared indicators can be reflected in the production order in a set format.

All of the above-mentioned operations are performed by using the set information in the database (DB) as an input value and outputting it as a result value. The automatic search function of Internet and database (DB) is used to check whether information is updated or not and to collect market quality information. In order to collect market quality information, a path to a specific website can be set.

As a whole, the above-described specific values can be entered as numerical values, and an instruction sheet is generated through the numerical values. The instructions will be generated in a specific format and can be sent or printed as you choose. In particular, the generated instructions further include indexed information, market quality information, and quality indicators to actively prevent confusion in each part, as well as generate instructions optimized for the actual site. In addition, by checking the company's inventory, productivity, and customer satisfaction at the actual site, workers are alerted, and any problems are actively improved.

Hereinafter, the configuration of the present invention constituting the flow of the operation of the above system in stages, and actions and effects thereof will be collectively described.

As shown in Fig. 1, the present invention categorizes information input and transmitted through a set communication network into at least one partition, stores it in a database (DB) for integrated processing of information, and compares it with the company's inventory information to place an order. An information management step (S100) of generating information and managing and transmitting each information; A production plan in which a basic analysis model is prepared by establishing a material consumption plan based on the information extracted from the database (DB) in which the information is stored, and a comparative analysis model is prepared by reflecting the set variable values classified into at least one compartment in the basic analysis model. Establishment step (S200); A simulation step (S300) of virtually determining the basic analysis model and the comparative analysis model, comparing and arranging each result value, and then reflecting the correction value input from the actual site to prepare a virtual analysis model that is a validity satisfaction model (S300); A production instruction generation step (S400) of generating an instruction and indexing a specific result value based on the virtual analysis model; Confirmation and index generation step (S500) of receiving the update information of the information managed and stored in the information management step, collecting the market quality information through the Internet, and collecting the company's quality index, supplier information, procurement quality, and customer satisfaction after product supply; It consists of a production order output step (S600) in which the indexed result values, market quality information, company's quality indicators, and supplier's procurement quality are arranged and included in the production order and transmitted or output through the Internet network according to the selection.

The information management step (S100) is a step of the order receipt information management unit 10 provided to manage the order registration and order prediction registration information provided from the buyer B as order information for each buyer, and more specifically, through a setting communication network. Classification and storage step (S110) of classifying and storing the input and transmitted information by consumption amount and required time of process products, parts, and assemblies, respectively; An order information generation step (S120) of transmitting the company's inventory information to the database (DB) to be used as an input value, and outputting a result value compared with the classified and stored information to generate order information (S120); A record management step (S130) of reviewing whether or not the stored information is duplicated or updated, excluding the duplicated information, and when updated, records and stores the updated time to manage each information; It consists of a transmission step (S140) of transmitting the classified and stored information, but transmitting the recorded update information according to a separate input signal.

The classification and storage step (S110) includes a process product classification and storage step (S112) of extracting and storing process product requirement information from information input and transmitted through a setting communication network, and partial product requirements information among information input and transmitted through a setting communication network. Partial classification storage step (S114) of extracting and storing, and assembly classification storage step (S116) of extracting and storing the required amount of assembly information from information input and transmitted through the setting communication network, and information input and transmitted through the setting communication network It includes configuring the required time storage step (S118) of extracting and storing the required time of the process product, part, and assembly.

The order-receiving information management unit 10 classifies numerical values or words input by the buyer B in the form provided and manages them as order information. The classification criteria are applied to process products, parts, and assemblies. That is, each information is classified and stored through the database (DB) operated by the order information management unit 10, and the status of the company's inventory is added, and the difference value is output as a result to generate order information for product production. Creating order information refers to outputting satisfactory and insufficient values. At this time, when order order information of the same buyer (B) is updated at a time interval, the update time is recorded and transmitted according to a separate setting signal. If the result value is output in this way, it is transmitted to a separate database (DB) operated by the production plan organizer 10 to induce sequential processing.

In the production plan organizer 20, a production plan establishment step (S200) is performed based on the information output from the order order information management unit 10.

The production plan establishment step (S200) includes a basic analysis model generation step (S210) of establishing a material consumption plan based on the classification information transmitted from the database (DB) to prepare a basic analysis model; It consists of a comparison analysis model generation step (S220) in which a comparison analysis model is prepared by reflecting the number of delivery days, the supplier's delivery change history, and the variable values of whether or not import is necessary when ordering a process product, parts, or assembly.

In the comparison analysis model generation step (S220), a comparison analysis model is prepared as many times as the number of delivery days of each of the processed products, parts, and assemblies, the delivery change history of the supplier, and the variable value of whether or not import is necessary.

The variable value may be set for each material within a set range, and the corresponding range may be set to a range without overload in model generation. A comparison analysis model is prepared as many as the number of cases in the set range, which is possible by programming the database (DB). After preparing the comparative analysis model, the basic analysis model and the comparative analysis model are transmitted to a database (DB) operated by the simulation unit 30.

The simulation unit 30 receives the basic analysis model and the comparison analysis model and performs a simulation step (S300). At this time, a condition value is set in the database DB operated by the simulation unit 30, and the model below the corresponding condition value is removed to simplify.

The simulation step (S300) includes a virtual determination step (S310) of virtually determining the basic analysis model and the comparison analysis model and outputting a result value; A rearranging step (S320) of arranging the result values of the basic analysis model and the result values of the comparison analysis model in the order of satisfying the set conditions; It consists of a finalizing step (S330) of preparing a virtual analysis model that is a model that satisfies the validity by reflecting the correction value input from the actual site in the model arranged in the setting order.

The result of the virtual confirmation step (S310) is to calculate an allocation amount and lead time for each part of each model to prevent defects. The models from which the result values are derived are arranged in the order of satisfying the set conditions through the arrangement step (S320), and it is preferable that the number of models arranged is at least 10 or more and sufficiently reviewed in the actual field. The model arranged in the order of condition satisfaction by the set number is prepared as a virtual analysis model that satisfies the validity by adding a correction value of approval of the person in charge of each part of the actual site. A terminal connected through a communication network may be further provided to input the corresponding correction value. In order to receive the correction value received from the terminal, the terminating step (S330) may further include a correction value receiving step (S332).

The virtual analysis model is transmitted to a database (DB) operated by the supplier management unit 40.

The supplier management unit 40 proceeds with the production order production step (S400) based on the virtual analysis model, and the confirmation and indicator generation step (S500) to generate an instruction optimized for the actual site and market quality, and the production order output step (S600). ) Proceeds.

The production instruction generating step (S400) includes an instruction generating step (S410) of generating an instruction based on a virtual analysis model; It consists of an indexing step (S420) of indexing the required amount of the process product, the time required, and the inventory status of the process product among the result values of the generated instruction.

The supplier management unit 40 further proceeds with the expansion and index generation step (S500) to include a plurality of information on the generated instruction sheet to form an instruction sheet optimized for the actual site.

In the confirmation and index generation step (S500), the update information of the information managed and stored in the information management step is sent, and the update of the information reflected in the basic analysis model is checked to induce the modification of the basic analysis model or update information of the supplier's supply conditions. Confirmation step (S510); An index preparation step (S520) of searching and collecting market quality information through the Internet network and collecting information on the number of occurrences of defects in supplier materials, the number of defects in the production process, and number of returns after supply; It consists of an index generation step (S530) in which procurement quality is calculated by the number of occurrences of the defective rate of the supplier's material, the product quality of the company is calculated by the number of occurrences of the defective rate during the production process, and the customer satisfaction is calculated by information on the number of returns after supply.

The information update confirmation step (S510) uses the automatic search function of the database (DB) operated by the order information management unit 10 to check whether the information reflected in the basic analysis model is updated, and then if the updated information exists, the basic analysis model is An update modification request step (S512) of inducing modification and inducing modification of the comparative analysis model when the supplier's supply condition is updated; It consists of a correction recording step (S514) of recording and storing the fact of induction of correction to be reflected in the instruction.

The update modification request step (S512) includes a basic information update confirmation step (S512a) for confirming the update of information reflected in the basic analysis model, and a basic model modification request step (S512b) for requesting modification of the basic analysis model when updating basic information. And a supply condition update confirmation step (S512c) for confirming the update of the supplier's supply condition information, and a comparison model modification request step (S512d) for requesting correction of the comparison analysis model when the supply condition information is updated.

The indicator preparation step (S520) includes an automatic search step (S521) of collecting information exposed and updated on a set path through an Internet network, and a supply condition information collection step (S522) of collecting supply conditions of suppliers reflected in the production plan. ), a supply defect recording step (S523) for storing the number of occurrences of defects in the supplier's material, a production defect recording step (S524) for storing the number of defects occurring during the production process, and the number of returns after supply is stored. The return recording step (S525) is further included.

The index generation step (S530) is a procurement quality index generation step (S532) that calculates a procurement quality index based on the number of occurrences of defects in the supplier material, and a product quality index that calculates the company's product quality index based on the number of defects occurring during the production process. A generation step (S534) and a consumer index generation step (S536) of calculating a consumer satisfaction level with information on the number of returns after supply is further included.

That is, the supplier management unit 40 performs sales management such as purchase procurement and selection management, in addition to continuously storing the supply conditions of the supplier, and collects setting information by being connected to the Internet network. There is this. The calculation of the index calculates the procurement quality, the company's product quality, and customer satisfaction by using the calculation formula of the number of defects/the total number of each material or the total number of supplied products x 100. It is natural that the corresponding calculation formula is preset in the database (DB), and other information other than the information that becomes the above standard can be considered, and the considered information can be created as an index based on the above calculation formula. The results calculated in this way are reflected in the directive.

In particular, the present invention confirms the update of each information based on the confirmation of the instruction in the information update confirmation step (S510), for example, the order order information update of the buyer B, the supply condition of the supplier, and the like. The update of the information becomes important basic information, so if it is updated, it must be quickly reflected in the instruction. Accordingly, the present invention can generate an instruction sheet optimized for an actual site by reorganizing the production plan by confirming the update as above before outputting the instruction sheet. By recording the facts of induction of such corrections and reflecting them in the instructions, workers are able to recognize them in the actual field, thereby removing the sense of disparity from the production plan itself.

All of the above operations are completed, and the instruction that satisfies the setting conditions is output through the production instruction output step (S600) or transmitted through the Internet network.

In detail, in the production order output step (S600), the production order output step (S600) selects and organizes the indexed result value, market quality information related to the result value, supplier's procurement quality, and customer satisfaction information. (S610); The selected information and the company's quality indicators are reflected in the instruction form in a set format, and the company's quality indicators are highlighted in color and output according to the selection or transmitted through the Internet network (S620).

In addition to the index generated and calculated through the sorting and arranging step (S610), the company's quality index among the information on the process product and the index information, which is the indexed result value, is reflected in the instruction in a state highlighted in color through the instruction output step (S620). By doing so, the company's inventory, productivity, and customer satisfaction are checked at the actual site, causing workers to be alert and actively improving if there is a problem.

The present invention having the above-described configuration manages information such as supply related to materials and all revision details information, etc., as big data, due to the inability to guarantee the reliability of the supplier and the actual site, and reflects it in the initial production plan and instructions. You can create instructions optimized for the actual site.

In other words, by organizing the inventory holding plan by reflecting all order prediction information in addition to the order receipt information to the production plan, it is possible to actively prevent shortages in an unforeseen order-taking environment, that is, in the business situation where the order is later than the specified delivery time. It works.

In addition, the present invention provides the production or inventory plan information calculated by changing the user setting value of the production plan organization information by simulating the production plan, and when approval is made for the result, the production plan is determined. There is another effect that can promote the accuracy of production plan organization information by actively reflecting the site situation of each part, including sub-production parts.

In addition, the present invention has another effect of optimizing the simplicity of work as various instructions, such as a delivery order, a material supply and demand statement, and an order form, are automatically generated by one-click based on the information value calculated by the simulation.

The present invention described above has been described with reference to an embodiment shown in the drawings, but this is only exemplary, and various modifications and other equivalent embodiments are possible from those of ordinary skill in the art. Should be clarified. Accordingly, the true technical protection scope of the present invention should be interpreted by the appended claims, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

S100: Information management step S110: Classification storage step
S112: Process product classification and storage step S114: Partial product classification and storage step
S116: Assembly classification and storage step S118: Required time storage step
S120: order information generation step S130: records management step
S140: transmission step S200: production plan establishment step
S210: Basic analysis model generation step S220: Comparative analysis model generation step
S300: simulation step S310: virtual confirmation step
S320: cleanup step S330: termination step
S400: production instruction generation step S410: instruction creation step
S420: Index step S500: Confirmation and index generation step
S510: Information update confirmation step S512: Update modification request step
S514: Correction record step S520: Ground preparation step
S530: Indicator creation step S600: Production order output step
S610: sorting and arranging step S620: instruction output step

Claims (7)

An information management step (S100) of managing and transmitting information input and transmitted through a communication network set by the order information management unit 10, a production plan establishment step (S200) performed by the production plan organizer 20, and a simulation unit Based on MRP in which the simulation step (S300) proceeded in (30), the production order generation step (S400) and the confirmation and indicator generation step (S500), and the production order output step (S600) are sequentially performed in the supplier management unit 40 In the integrated inventory management operation method that manages inventory by calculating order prediction information,
The information management step (S100) includes a classification and storage step (S110) of classifying and storing the information input and transmitted through the setting communication network by consumption amount and required time of process products, parts, and assemblies, respectively, and the company's inventory information in a database (DB ) To be used as an input value, and the order information generation step (S120) of generating order information by outputting the result value compared with the classified and stored information, and reviewing whether the stored information is duplicated or updated to exclude duplicate information And, when updated, the recording management step (S130) of managing each information by recording and storing the updated time point, and the transmission step (S140) of transmitting the order information but transmitting the recorded update information according to a separate input signal. Including,
In the production plan establishment step (S200), a basic analysis model generation step (S210) in which a basic analysis model is prepared by establishing a material requirement plan based on the order information, and the number of delivery days when ordering process products, parts, and assemblies, and changes in delivery of suppliers. Including a comparison analysis model generation step (S220) of preparing a comparison analysis model as many as the number of each case while reflecting the variable values of the history and whether or not the import is necessary,
The simulation step (S300) satisfies a virtual confirmation step (S310) of virtually determining the basic analysis model and the comparison analysis model and outputting a result value, and a set condition among the result values of the basic analysis model and the comparison analysis model. A finalizing step (S330) including an arranging step (S320) of arranging in the order of setting and a correction value receiving step (S332) for receiving and reflecting whether or not approval input at the actual site is applied to the model arranged in the setting sequence, and ,
The production instruction generation step (S400) includes an instruction sheet generation step (S410) of generating an instruction based on a virtual analysis model, and an index for indexing the required amount of the process product, the time required, and the inventory status of the process product among the result values of the generated instruction. Including step (S420),
In the verification and index generation step (S500), update information of the information managed and stored in the information management step is sent, and the update of the information reflected in the basic analysis model is checked to induce modification of the basic analysis model or comparison when the supplier's supply conditions are updated. Information update confirmation step (S510) that induces modification of the analysis model, search and collect market quality information through the internet network, and collect information on the number of occurrences of defects in the supplier's supplier material, the number of defects in the production process, and the number of returns after supply Indicative preparation step (S520) to calculate the procurement quality based on the number of occurrences of defects in the supplier's material, calculate the company's product quality based on the number of defects in the production process, and calculate customer satisfaction based on the number of returns after supply Including (S530),
In the information update confirmation step (S510), after checking the update of the information reflected in the basic analysis model, if the updated information exists, induces the modification of the basic analysis model, and when the supplier's supply conditions are updated, the comparison analysis model is updated. Further comprising a request step (S512) and a correction recording step (S514) of recording and storing the fact of induction of correction to be reflected in the instruction,
The indicator preparation step (S520) includes an automatic search step (S521) of collecting information exposed and updated on a set path through an Internet network, and a supply condition information collection step (S522) of collecting supply conditions of suppliers reflected in the production plan. ), a supply defect recording step (S523) for storing the number of occurrences of defects in the supplier's material, a production defect recording step (S524) for storing the number of defects occurring during the production process, and the number of returns after supply is stored. Further comprising a return recording step (S525),
The production order output step (S600) includes a sorting and arranging step (S610) of sorting and organizing the indexed result value and market quality information related to the result value, procurement quality information of the supplier, and customer satisfaction, and the sorted information and Including an instruction output step (S620) of reflecting the quality indicators of the company in a set format in the instruction book, highlighting the company's quality indicators in color, and outputting according to selection or transmitting through the Internet network,
The ordering information management unit 10 proceeds to the classification storage step (S110) and the order information generation step (S120) to classify and store the input and transmitted information, and to calculate the difference value obtained by comparing the classified information with the company's inventory information. Duplicate review of information, record of whether to update or not, and order information are generated, and then transmitted to the setting path through the transmission step (S140), and the order information is sent from the production plan organizer 20 to generate a basic analysis model (S210) , Proceed to the comparative analysis model generation step (S220) to establish a material requirement plan based on the information, prepare a basic analysis model based on the plan, and the number of delivery days when ordering process products, parts, and assemblies, the delivery history of suppliers A comparison analysis model is prepared as many times as the number of each case while reflecting the variable value of whether importation is necessary in the basic analysis model, and the order status is virtually determined by the virtual confirmation step (S310) of the simulation unit 30, and the simulation unit 30 ), further comprising a step of receiving a correction value (S332) for receiving and reflecting the approval or not received from the actual site after arranging in the order of satisfying the allocation amount and lead time for each part by further proceeding to the arrangement step (S320). Proceed to the closing step (S330) in order to prepare a virtual analysis model that is a model that satisfies the validity,
The supplier management unit 40 performs an indexing step (S420) of indexing the required amount of processed goods, the time required, and the inventory status of the processed goods while generating an instruction based on the virtual analysis model in the instruction generating step (S410). Visibility of the process product is secured, and the information update confirmation step (S510) proceeds to induce the modification of the basic and comparative analysis model according to the existence of the information update record in the record management step (S130) of the order information management unit 10. While the analysis model is reorganized, the correction recording step (S514) is included so that the fact of induction of correction is reflected on the instruction sheet, and the automatic search step (S521) of the indicator preparation step (S520), the supply condition information collection step (S5222), and the supply After collecting each indicator information through the defect recording step (S523), the production defect recording step (S524), the production defect recording step (S524), and the return recording step (S525), the corresponding information is collected through the index generation step (S530). Based on the creation of indicators of procurement quality, product quality, and consumer satisfaction, and through the selection and arrangement step (610) of the production order output step (S600), the indexed process product requirements, time required, and inventory status of the processed products After selecting and arranging only the indicators related to the instruction document output step (S620), inventory management by calculating order prediction information based on MRP, which is characterized by reflecting it in a set format in the instruction book together with the company's quality indicators highlighted in color How to operate integrated inventory management.
The method of claim 1,
The index generation step (S530),
Procurement quality index generation step (S532) of calculating the procurement quality index based on the number of occurrences of defects in the supplier material of the supplier;
Product quality index generation step (S534) of calculating the company's product quality index based on the number of occurrences of defects during the production process;
A consumer index generation step (S536) of calculating consumer satisfaction with information on the number of returns after supply;
An integrated inventory management operation method that manages inventory by calculating order prediction information based on the MRP including a.
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