KR20210085863A - Device and Method for Group Purchase of Raw Materials in Cloud System - Google Patents

Abstract

Disclosed are a device for recommending a group purchase of raw materials in a cloud system and a method thereof. According to the present invention, the device comprises: a manufacturing company raw material inventory information management module managing raw material inventory information including the current raw material inventory amount and the estimated inventory amount over time of manufacturing companies; a manufacturing company production product information management module managing production schedule information of the manufacturing companies; a raw material purchase time determination module using the raw material inventory information and the production schedule information of each manufacturing company to predict a purchase time for each raw material and an order quantity for each raw material of each manufacturing company; a group purchase recommendation module using the purchasing time of each raw material and purchase quantity for each raw materials of each manufacturing company to recommend a group purchase of raw materials and receiving information on whether to participate in the group purchase from the manufacturing companies to generate group purchase participation information; and a group purchase execution module using the group purchase participation information to generate and provide group purchasing raw material information including the type and quantity of raw materials requested by the manufacturing companies for the group purchase to supplier companies and receiving bidding information from the supplier companies to provide the bidding information to the manufacturing companies. According to the present invention, the method provides an advantage of recommending an efficient group purchase of raw materials by using the information collected from a cloud system.

Description

Device and Method for Group Purchase of Raw Materials in Cloud System}

The present invention relates to a raw material group purchase recommendation apparatus and method, and more particularly, to a raw material group purchase recommendation apparatus and method applied to a cloud system.

As the current industry enters the era of the 4th industrial revolution, the shape of the industry is changing from a supplier's production and sales center to a buyer's value center. In order to efficiently respond to these changes in the shape of the industry, research on smart factories that can provide the value of the manufacturing industry is actively being conducted, and cloud platform technology is attracting attention as a key technology in implementing smart factories at home and abroad. .

Through cloud platform technology, manufacturers and suppliers register resource information and production information in the cloud platform, and when a customer applies for an order to the cloud platform, the companies existing in the cloud platform respond to the customer's order. Through cloud platform-based manufacturing, each company provides a service in which the company's resources can be automatically managed from the cloud service, a service that can share and use the remaining resources with each other in real time, and the data of facilities collected through IoT as a cloud service Various types of services can be provided, such as a service that automatically analyzes and obtains processed meaningful information.

Meanwhile, group purchases of raw materials by companies were coordinated by the GPO. It played a role in linking manufacturing companies to suppliers based on their raw material purchase orders and suppliers' bidding information for companies that are subscribed to the GPO.

However, group purchasing by GPO had a problem in that it was difficult to make efficient group purchases because each company had to figure out the raw material inventory for each company and make a purchase plan.

The present invention proposes an apparatus and method for recommending group purchase that can efficiently recommend group purchase of raw materials using information collected from a cloud system.

According to one aspect of the present invention, as a group purchasing device of a cloud system in which a plurality of suppliers and a plurality of manufacturing companies are connected through a network, raw material inventory information including the current raw material inventory of the manufacturers and the estimated inventory over time Manufacturing enterprise raw material inventory information management module to manage; a manufacturing company production product information management module for managing production schedule information of manufacturing companies; a raw material purchase time determination module for predicting a purchase time for each raw material and an order quantity for each raw material of each manufacturing company using the raw material inventory information and the production schedule information of each manufacturing company; A group purchase recommendation module for generating group purchase participation information by recommending group purchases of raw materials using the purchasing time of each raw material of each manufacturing company and the purchase quantity for each raw material, and receiving information on whether to participate in group purchase from the manufacturing companies ; and using the group purchase participation information to generate group purchase raw material information including the type and quantity of raw materials requested by the manufacturing companies for group purchase and provide it to the supplier companies, and receive bidding information from the supplier companies to receive bid information from the group A group purchase recommendation device including a group purchase execution module provided to manufacturing companies that have requested purchase is provided.

The raw material purchase time determination module predicts the raw material purchase time in consideration of the inventory maintenance cost of the raw material and the fixed order cost.

The raw material purchase time determination module calculates the average cost per unit time for each time point using the fixed order cost, the inventory maintenance cost, and the raw material demand at a specific point in time, and the time point at which the average cost per unit time increases compared to the previous time It searches and predicts the time of discovery as the point of purchase of raw materials.

The raw material purchase time determination module calculates an average cost per unit time (a specific time t to t+j) as shown in the following equation.

는 특정 시점 t의 원자재 수요량임. In the above equation, K is the fixed order cost, h is the inventory holding cost per unit time,

is the demand for raw materials at a specific point in time t.

The raw material purchase time determination module predicts the raw material order quantity by using the raw material demand quantity and the raw material inventory quantity up to the predicted purchase time.

The production schedule information includes production product information, raw material information required for each production product, production amount information, and raw material consumption information for each production product, and the manufacturing company raw material inventory information management module is configured to control the time lapse based on the production schedule information Estimate the estimated inventory according to

The group purchase recommendation device further comprises a supplier company supplier material information management module for managing raw material information and raw material quantity information provided by the supplier companies, wherein the group purchase recommendation module receives raw material information and quantity information of the supplier companies For reference, group purchase is recommended.

According to another aspect of the present invention, there is provided a group purchase recommendation method performed in a cloud system in which a plurality of suppliers and a plurality of manufacturing companies are connected through a network, the raw material including the current stock of raw materials of the manufacturers and the estimated inventory over time. Managing inventory information and production schedule information of manufacturing companies (a); predicting a purchase time for each raw material and an order quantity for each raw material of each manufacturing company using the raw material inventory information and the production schedule information of each manufacturing company (b); Recommending group purchase of raw materials using the purchase time of each raw material and the purchase quantity for each raw material of each manufacturing company, and generating group purchase participation information by receiving information on whether to participate in group purchase from the manufacturing companies (c) ; and using the group purchase participation information to generate group purchase raw material information including the type and quantity of raw materials requested by the manufacturing companies for group purchase and provide it to the supplier companies, and receive bidding information from the supplier companies to receive bid information from the group A group purchase recommendation method is provided, including a step (d) of providing the purchase request to manufacturing companies.

According to the present invention, there is an advantage in that an efficient group purchase of raw materials can be recommended using information collected from the cloud system.

1 is a diagram showing the structure of a cloud system to which a raw material group purchase recommendation apparatus and method according to an embodiment of the present invention is applied;
2 is a block diagram showing the structure of a cloud central server according to an embodiment of the present invention.
Figure 3 is a view showing an example of information managed by the raw material inventory information management module according to an embodiment of the present invention.
4 is a view showing an example of information managed by the product information management module according to an embodiment of the present invention.
5 is a view showing an example of information managed by the supplier supplier material information management module.
6 is a view showing an example of information managed by the raw material purchase time determination module according to an embodiment of the present invention.
7 is a view showing an example of group purchase raw material information according to an embodiment of the present invention.
8 is a view showing an example of integrated bidding information according to an embodiment of the present invention.
9 is a flowchart illustrating an overall flow of a method for recommending purchasing a raw material group in a cloud system according to an embodiment of the present invention.

In order to fully understand the present invention, the operational advantages of the present invention, and the objects achieved by the practice of the present invention, reference should be made to the accompanying drawings illustrating preferred embodiments of the present invention and the contents described in the accompanying drawings.

Hereinafter, the present invention will be described in detail by describing preferred embodiments of the present invention with reference to the accompanying drawings. However, the present invention may be embodied in various different forms, and is not limited to the described embodiments. And, in order to clearly explain the present invention, parts irrelevant to the description are omitted, and the same reference numerals in the drawings indicate the same members.

Throughout the specification, when a part “includes” a certain component, it does not exclude other components unless otherwise stated, but may further include other components. In addition, terms such as “…unit”, “…group”, “module”, and “block” described in the specification mean a unit that processes at least one function or operation, which is hardware, software, or hardware. and a combination of software.

1 is a diagram illustrating a structure of a cloud system to which a raw material group purchase recommendation apparatus and method according to an embodiment of the present invention is applied.

Referring to FIG. 1 , it includes a cloud central server 100 , a cloud database 110 , a plurality of manufacturing company clients 120 and a plurality of supplier clients 130 according to an embodiment of the present invention.

The plurality of manufacturing enterprise clients 120 and the plurality of supplier enterprise clients 130 are communicatively connected via the cloud network 150 .

A manufacturing company is a company that manufactures goods, and a company that purchases raw materials. A supplier is a company that supplies raw materials to a manufacturing company.

The cloud system of the present invention shares production information of a manufacturing company and raw material information of a supplier with each other, and enables efficient group purchase through this.

Manufacturing companies provide production information of the manufacturing company by accessing the cloud central server 100 through the clients 120 of the manufacturing company. Here, the production information may include production product information, raw material information required for production, production schedule information, and the like.

The supplier companies access the cloud central server 100 through the clients 130 of the supplier and provide raw material information provided by the supplier and the holding quantity information of each raw material.

The cloud central server 100 stores information provided from the manufacturing company clients 120 and the supply company clients 130 in the cloud database 110 , and uses the information stored in the cloud database 110 to communicate with the manufacturing companies. Recommend group purchases between suppliers.

2 is a block diagram illustrating the structure of a cloud central server according to an embodiment of the present invention.

Referring to FIG. 2 , the cloud central server according to an embodiment of the present invention includes a manufacturing company raw material inventory information management module 200 , a manufacturing company product information management module 210 , and a supplier supply material information management module 220 . , a raw material purchase time determination module 230 , a group purchase recommendation module 240 , and a group purchase execution module 250 .

The manufacturing company raw material inventory information management module 200 manages raw material inventory information according to a period for each manufacturing company. The manufacturing company raw material inventory information management module 200 manages raw material inventory information according to a period based on raw material inventory information and production schedule information provided for each manufacturing company.

3 is a view showing an example of information managed by the raw material inventory information management module according to an embodiment of the present invention.

Referring to FIG. 3 , the manufacturing company raw material inventory information management module 200 manages raw material information for each manufacturing company, and examples of manufacturing companies M1 and M2 are shown in FIG. 3 .

The manufacturing company raw material inventory information management module 200 manages the current inventory amount for each raw material and inventory amount information as time elapses on a weekly basis. Although FIG. 3 shows the inventory amount according to the lapse of time per week, it will be apparent to those skilled in the art that this is only an example and that the inventory amount may be managed on a daily or monthly basis.

The inventory amount over time is information estimated by the manufacturing company raw material inventory information management module 200 , and the inventory amount over time is estimated using the information of the manufacturing company production product information management module 210 .

The manufacturing company product information management module manages information about the production schedule, and can estimate the amount of raw materials required using the production schedule information, and can estimate raw material inventory information using this.

The manufacturing company product information management module 210 manages production schedule information for each manufacturing company. The production schedule information managed by the manufacturing company product information management module 210 includes production product information, raw material information required for each product, production information, and raw material consumption information for each product.

4 is a view showing an example of information managed by the product information management module according to an embodiment of the present invention.

Referring to FIG. 4 , the product information management module 210 manages product information for each manufacturing company. 3 illustrates a case in which the product information management module 210 manages production schedule information on a weekly basis, it will be apparent to those skilled in the art that the production schedule may be managed on a daily or monthly basis.

The production product information management module 210 manages the production products by schedule, the types of raw materials and the material consumption required for the production products together, and as described above, the consumption of raw materials consumed by week through the information managed by the production product management module as described above. can be calculated, and through this, it is possible to estimate the stock of raw materials over time.

The supplier supplier material information management module 220 manages the type of raw material provided for each supplier that provides the raw material, the quantity of each raw material, unit price, and delivery date information. The information managed by the supplier supplier material information management module 220 is directly provided from supplier companies.

5 is a view showing an example of information managed by the supplier supplier material information management module.

Referring to FIG. 5 , the supplier company supplier material information management module 220 manages information for each raw material, and manages the supplier company that supplies the raw material for each raw material, and the unit price and delivery date of the raw material.

The information managed by the supplier supplier material information management module can be used when a group purchase recommendation is made in the future.

The raw material purchase time determination module 230 functions to predict the raw material purchase time of manufacturing companies connected to the cloud system. The predicted point of purchase is used to recommend group purchases.

The raw material purchase time determination module 230 determines an appropriate raw material purchase time and purchase quantity of the raw material based on the raw material inventory information and production schedule information of each manufacturing company.

The raw material purchase time determination module 230 determines the optimal purchase time for each manufacturing company in consideration of the inventory maintenance cost and the fixed order cost of the raw material.

, 단위 시간 당 재고유지비용을

, 시점

의 원자재 수요량을

로 정의하고, 이들로 이루어진 단위 시간(특정 시점 t에서 t+j 시점) 당 평균 비용을 C(j)라고 정의할 때, 단위 시간당 평균 비용은 다음의 수학식 1과 같이 정의된다. fixed order cost

, the cost of holding inventory per unit time

, point of view

of raw material demand

When C(j) is defined as C(j) and the average cost per unit time (time point t+j at a specific time point t) is defined as C(j), the average cost per unit time is defined as in Equation 1 below.

The raw material purchase time determination module 230 calculates C(j) for each time point, searches for a time point at which the average cost per unit time increases compared to the previous time point as time elapses, and determines that the raw material purchase is necessary at the discovered time point. A heuristic method may be used to search for a point in time when the average cost per unit time increases more than an advantage point.

The heuristic method for the point of purchase search is as follows.

이 되면,

시점에서

시점까지의 총 수요를 주문량으로 간주하여

시점을 구매 시점으로 결정한다.

When this happens,

at the point

Considering the total demand up to that point as the order quantity,

Determine the time of purchase as the time of purchase.

이면,

로 증가시켜

이 될 때까지 반복하여 계산한다

back side,

increase to

Repeat the calculation until

When the purchase time is determined in the above manner, the raw material purchase time determination module 230 calculates the order quantity at the corresponding purchase time. The order quantity can be calculated as max{(demand quantity at the time of purchase) - the quantity of stock at the time of purchase, 0}.

6 is a view showing an example of information managed by the raw material purchase time determination module according to an embodiment of the present invention.

Referring to FIG. 6 , the average cost is calculated on a weekly basis, and a time point at which the weekly average cost increases is determined as a new raw material purchase time.

For raw material A, the average cost after one week is $26.25, the average cost after two weeks is $22.50, and the average cost after three weeks is $27.50. Accordingly, 3 weeks later is determined as a new purchase time for raw material A.

The group purchase recommendation module 240 functions to generate group purchase recommendation information for a plurality of manufacturing companies by using the information calculated by the raw material purchase time determination module and provide the group purchase recommendation information to the corresponding manufacturing companies.

The group purchase recommendation information provided by the group purchase recommendation module 240 includes raw material information available for group purchase, and receives information on whether to participate in group purchase from manufacturing companies.

The group purchase recommendation module 240 checks the order quantity and purchase timing of raw materials required for each manufacturing company to generate raw material information capable of group purchase.

The group purchase recommendation module 240 separately extracts only raw materials whose order quantity is not 0 until a predetermined period. Among the extracted raw materials, the raw materials needed by two or more manufacturing companies are judged as raw materials that can be purchased by the group.

For example, if manufacturing company M1 and manufacturing company M2 need to purchase raw material A at the same time, we recommend a group purchase of raw material A to both companies. If raw material A is required by only one company, it is recommended to purchase alone rather than recommend group purchase.

The group purchase recommendation information generated by the group purchase recommendation module 240 is provided to corresponding manufacturing companies for each raw material, and the manufacturing companies determine whether to participate in group purchase for a specific raw material after checking the group purchase recommendation information.

The group purchase recommendation module 240 collects group purchase participation information received from manufacturing companies and provides it to the group purchase execution module 250 .

The group purchase performance module 250 generates group purchase raw material information based on group purchase participation information of manufacturing companies. The group purchase raw material information includes quantity information of raw materials that manufacturing companies have requested group purchase for each raw material.

7 is a view showing an example of group purchase raw material information according to an embodiment of the present invention.

Referring to FIG. 7 , it can be seen that companies that want to purchase a group for each raw material and the purchase quantity and total quantity required by each manufacturing company are included. For example, raw material a can be identified by manufacturing companies M1, M2 M3 and the total quantity required is 90.

The group purchase raw material information is provided to the supplier companies, and the supplier companies generate bidding information based on the group purchase raw material information for each supplier company and provide it to the group purchase execution module 250 .

The group purchase performing module 250 generates integrated bidding information by collecting bidding information from suppliers.

8 is a diagram illustrating an example of integrated bidding information according to an embodiment of the present invention.

Referring to FIG. 8 , the integrated bidding information includes supplier companies participating in the bidding for each raw material and unit price and delivery date information presented by each supplier.

The integrated bidding information generated by the group purchase performing module 250 is provided to each manufacturing company, and a group purchase is made through the selection of a successful bidder of the manufacturing company.

9 is a flowchart illustrating an overall flow of a method for recommending purchasing a raw material group in a cloud system according to an embodiment of the present invention.

Referring to FIG. 9 , manufacturing companies upload information on raw material inventory, production products, and production schedules (step 900 ).

The suppliers upload the raw material information and supply quantity information they provide (step 902).

Based on the information uploaded by the manufacturing companies, the raw material inventory over time is estimated for each manufacturing company (step 904).

Using the estimated raw material inventory, a raw material purchase time and purchase quantity are determined for each manufacturing company and raw material (step 906).

The purchase time of raw materials is determined by considering the cost of re-maintenance and fixed cost of raw materials, and as described above, the time when the average cost per unit time increases is determined as the appropriate purchase time.

In addition, the purchase quantity is determined as a value obtained by subtracting the inventory quantity from the quantity demanded until the determined purchase time.

When the purchase time and purchase quantity are determined, group purchase recommendation information is generated and provided to manufacturing companies (step 908). The group purchase recommendation information includes information on raw materials available for group purchase.

After the group purchase recommendation information is provided, information on whether to participate in group purchase is received from manufacturing companies, and group purchase raw material information is generated based on the received information (step 910). The group purchase raw material information includes information on a manufacturing company that wants to purchase a group for each raw material and total quantity information.

The group purchasing raw material information is provided to the supplier companies, and integrated bidding information is generated based on the bidding information received from the supplier companies (step 912).

The consolidated bidding information is provided to the manufacturing companies, and the group purchase is completed by the manufacturing companies selecting a supplier to supply a specific raw material.

The method and apparatus for recommending group purchases as described above make it possible to efficiently manage purchases through information provided from a plurality of companies. According to the raw material purchasing process, existing companies had to figure out the raw material inventory for each company and then make a purchase plan for each company.

However, the group purchase recommendation method and apparatus of the present invention analyzes big data provided by each company to induce group purchases after analyzing the optimal purchase time and purchase quantity, thereby reducing costs and improving purchasing efficiency through group purchases. There are advantages to maximizing it.

Although the present invention has been described with reference to the embodiment shown in the drawings, which is merely exemplary, those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom.

Accordingly, the true technical protection scope of the present invention should be defined by the technical spirit of the appended claims.

Claims (15)

As a group purchasing device for a cloud system in which a plurality of suppliers and a plurality of manufacturing enterprises are connected through a network,
a manufacturing company raw material inventory information management module for managing raw material inventory information including the current raw material inventory amount of the manufacturing companies and the estimated inventory amount over time;
a manufacturing company production product information management module for managing production schedule information of manufacturing companies;
a raw material purchase time determination module for predicting a purchase time for each raw material and an order quantity for each raw material of each manufacturing company by using the raw material inventory information and the production schedule information of each manufacturing company;
A group purchase recommendation module for generating group purchase participation information by recommending group purchases of raw materials using the purchasing time of each raw material of each manufacturing company and the purchase quantity for each raw material, and receiving information on whether to participate in group purchase from the manufacturing companies ; and
By using the group purchase participation information, group purchase raw material information including the type and quantity of raw materials requested by the manufacturing companies for group purchase is generated and provided to the suppliers, and bidding information is received from the suppliers to purchase the group. Group purchase recommendation device, characterized in that it comprises a group purchase execution module for providing the requested manufacturing companies.
According to claim 1,
The raw material purchase time determination module is a group purchase recommendation device, characterized in that for predicting the raw material purchase time in consideration of the inventory maintenance cost of the raw material and the fixed order cost.
3. The method of claim 2,
The raw material purchase time determination module calculates the average cost per unit time for each time point using the fixed order cost, the inventory maintenance cost, and the raw material demand at a specific time point, and the time point at which the average cost per unit time increases compared to the previous time point A group purchase recommendation device, characterized in that the search is performed and the searched time point is predicted as the raw material purchase time.
4. The method of claim 3,
The group purchase recommendation device, characterized in that the raw material purchase time determination module calculates the average cost per unit time (from a specific time t to t+j) as shown in the following equation.

In the above equation, K is the fixed order cost, h is the inventory holding cost per unit time,

is the demand for raw materials at a specific point in time t.
3. The method of claim 2,
The raw material purchase time determination module is a group purchase recommendation device, characterized in that for predicting the raw material order quantity by using the raw material demand and raw material inventory until the predicted purchase time.
According to claim 1,
The production schedule information includes production product information, raw material information required for each production product, production amount information, and raw material consumption information for each production product, and the manufacturing company raw material inventory information management module is configured to control the time lapse based on the production schedule information Group purchase recommendation device, characterized in that for estimating the estimated inventory according to the.
According to claim 1,
Further comprising a supplier supplier material information management module for managing raw material information and raw material quantity information provided by the supplier companies, wherein the group purchase recommendation module recommends group purchase with reference to the raw material information and quantity information of the supplier companies Group purchase recommendation device, characterized in that.
A group purchase recommendation method performed in a cloud system in which a plurality of suppliers and a plurality of manufacturing companies are connected through a network,
Managing raw material inventory information and production schedule information of manufacturing companies, including the current raw material inventory of the manufacturing companies and the estimated inventory over time (a);
predicting a purchase time for each raw material and an order quantity for each raw material of each manufacturing company using the raw material inventory information and the production schedule information of each manufacturing company (b);
Recommending group purchase of raw materials using the purchasing time of each raw material of each manufacturing company and the purchase quantity of each raw material, and generating group purchase participation information by receiving information on whether to participate in group purchase from the manufacturing companies (c) ; and
By using the group purchase participation information, group purchase raw material information including the type and quantity of raw materials requested by the manufacturing companies for group purchase is generated and provided to the suppliers, and bidding information is received from the suppliers to purchase the group. A group purchase recommendation method comprising the step (d) of providing to the requested manufacturing companies.
9. The method of claim 8,
The step (b) is a group purchase recommendation method, characterized in that the raw material purchase time is predicted in consideration of the inventory maintenance cost of the raw material and the fixed order cost.
10. The method of claim 9,
The step (b) calculates the average cost per unit time for each time point using the fixed order cost, the inventory maintenance cost, and the raw material demand at a specific point in time, and searches for a point in time when the average cost per unit time increases compared to the previous time point and a group purchase recommendation method, characterized in that the searched time point is predicted as the raw material purchase time.
11. The method of claim 10,
The step (b) is a group purchase recommendation method, characterized in that calculating the average cost per unit time (a specific time t to t+j) as shown in the following equation.

In the above equation, K is the fixed order cost, h is the inventory holding cost per unit time,

is the demand for raw materials at a specific point in time t.
10. The method of claim 9,
The step (b) is a group purchase recommendation method, characterized in that predicting the raw material order quantity using the raw material demand and raw material inventory until the predicted purchase time.
9. The method of claim 8,
The production schedule information includes production product information, raw material information required for each product, production information, and raw material consumption information for each product, wherein the step (a) is estimated over time based on the production schedule information A group purchase recommendation method, characterized in that the inventory amount is estimated.
9. The method of claim 8,
Further comprising the step of managing raw material information and raw material quantity information provided by the supplier companies, wherein the step (c) refers to the raw material information and quantity information of the supplier companies to recommend group purchase Recommended way.
A recording medium readable by a digital data processing apparatus in which a program for executing the method of claims 8 to 14 is recorded.

Images