CN107229996B

CN107229996B - Integrated supply chain management platform

Info

Publication number: CN107229996B
Application number: CN201710379581.8A
Authority: CN
Inventors: 王鹤; 张人龙; 曾宁波; 谭理; 罗鹏; 彭珊; 孟祥宇; 杨俊宇
Original assignee: Hunan University of Science and Technology
Current assignee: Hunan University of Science and Technology
Priority date: 2017-05-25
Filing date: 2017-05-25
Publication date: 2020-12-29
Anticipated expiration: 2037-05-25
Also published as: CN107229996A

Abstract

The invention constructs an integrated supply chain management platform. The platform builds three subsystems, the three subsystems are based on a computer local area network and the Internet and adopt a distributed structure, and the platform system is composed of a data management server, a management controller, an application server and an information input and output terminal. The method integrates data acquisition, storage, preprocessing and retrieval, algorithm realization, model application and system maintenance control commands; two algorithms of an ESQ economic supply batch model, a two-stage method and a 0-1 type integer programming are applied, and two technologies of a global satellite positioning system and a geographic information system are applied. The system can effectively utilize data information of manufacturers and logistics merchants in the Internet and big data to analyze various items in the platform, the distributed structure design adopted by the platform system can be compatible with other systems, other functions of the platform can be conveniently developed, and mutual benefits and win-win can be realized by cooperation with other platform systems.

Description

Integrated supply chain management platform

Technical Field

The invention relates to the technical field of modern information such as logistics and IT, in particular to an integrated supply chain management platform.

Background

With the development of the manufacturing industry and the logistics industry in China, the interest relationship of the two industries is more and more close. The new mode of 'linkage of two industries' development starts to show the head and corner in economic development and becomes more and more important. At present, the development level of 'linkage of two industries' in China is in a low fascinating trend, the hierarchy is not high, and a linkage mechanism is not established yet, and the main reasons are that the development levels of the 'linkage of two industries' are different, the coordination is low, and the management is difficult. Therefore, the establishment of a system platform capable of controlling and managing the supply chain and the 'two-industry' can play a great role in the development of the 'two-industry linkage' economic model.

A special purpose programming Language SQL (Structured Query Language). The language was originally developed in 1974 as the SEQUEL language, which was used in a large relational database management SYSTEM (SYSTEM) developed by IBM, Inc. St.Joseph research laboratories, and later developed as the SQL language based on SEQUEL. In 10 months 1986, the American National Standards Institute (ANSI) adopted SQL as the standard language for relational database management systems (ANSI X3.135-1986), followed by ISO (international organization for standardization) adopted as an international standard. SQL is the most important relational database operation language, and the influence of SQL is beyond the field of databases, so that other fields are valued and adopted, such as data retrieval in the field of artificial intelligence, SQL embedded languages in fourth-generation software development tools and the like.

The construction basic economic ordering batch model of an economic supply batch model ESQ (economic Order quantity) is a basic model in the field of economics, is proposed by F.W. Harris in factory management journal in 1913 earliest, and establishes an economic batch formula, and after long-term development and improvement, EOQ (economic Order quantity) and the variant thereof form a relatively perfect inventory control system, so that the economic ordering batch model is widely applied to the aspect of enterprise inventory control, and the economic ordering batch model is mainly a comprehensive analysis method for comprehensively analyzing the material ordering and inventory keeping costs from the economic benefits of enterprises. The platform establishes an economic supply batch model (ESQ) for the supply quantity of a manufacturer according to the concept of EOQ, and a mathematical formula of the sum of the inventory cost and the distribution cost of a certain product of an enterprise is established, so that the minimum supply point is the optimal supply point of the product of the enterprise and is combined with a greedy method combined order, the distribution frequency is reduced, and the logistics cost of the enterprise is reduced from the source. The logistics business order analysis subsystem utilizes a two-stage method and a 0-1 type integer programming. The two-stage method is a method for searching an initial base feasible solution of a linear programming problem, and the linear programming problem with the added artificial variables is divided into two stages to be solved. "type 0-1 integer programming" is an integer programming in which decision variables called variables 0-1 (binary variables, logical variables) intelligently take 0 or 1. The 0-1 variable is often used as a logical variable to indicate whether the system is in a particular state or whether a particular scheme is to be taken at the time of decision.

The GPS is a satellite navigation system which is developed and established by the American national defense department, has all-directional, all-weather, all-time and high precision, and can provide navigation information such as low-cost and high-precision three-dimensional position, speed, precise timing and the like for global users. The Geographic Information System (GIS) is a comprehensive discipline, combining geography with cartography, remote sensing and computer discipline, has been widely used in different fields, and is a computer System for inputting, storing, querying, analyzing and displaying Geographic data. GIS is a computer-based tool that can analyze and process spatial information (in short, mapping and analyzing phenomena and events occurring on earth) and integrate this unique visualization and geographic analysis function of maps with general database operations (e.g., queries and statistical analysis, etc.).

Disclosure of Invention

The platform of the invention considers the transportation efficiency and cost of enterprises, takes goods supply, order processing and path optimization as breakthrough points, collects the problems in the development of 'linkage of two industries' in detail, and organically combines the internal resources and the external environment of the enterprises to provide a set of optimization scheme, thereby reducing the operation cost of the two industries and improving the competitiveness of the enterprises. And finally, the optimized content is constructed into an online platform, and the development of two-industry linkage is really realized.

In order to achieve the purpose, the invention adopts the following technical scheme:

an integrated supply chain management platform is characterized by comprising three subsystems of manufacturer supply management, logistics order analysis and logistics path optimization, wherein the manufacturer supply management subsystem performs supply decision on an order received by a manufacturer and issues the order on the platform, the logistics order analysis subsystem performs profit analysis on the order issued on the platform and then receives the order, and finally, the optimal path is selected according to the logistics distribution path optimization subsystem and the order is distributed; the three subsystems adopt a distributed structure, the working contents are buckled and started up and down in a loop, and the operation of each subsystem is the basis for the smooth operation of the next subsystem.

Further, the manufacturer supply management subsystem transforms the management methods used for vendor inventory control into management methods used for manufacturer production decisions by referencing EOQ economic supply batch models, but at the same time, innovating them.

Furthermore, the logistics merchant order analysis subsystem determines the order which must be delivered preferentially according to the actual situation of the order by using the combination of a two-stage method and integer programming, and calculates the order combination with the maximum profit according to the remaining truck volume and load after the first stage.

Furthermore, the physical distribution business path optimization subsystem divides distribution into an urban distribution mode and an urban distribution mode according to different distribution actual conditions of the physical distribution business, and subdivides the distribution into a point-to-multipoint mode, a multipoint-to-multipoint mode, a point-to-point mode and other possible conditions, and different optimization modes are designed for discussion.

The three subsystems are based on a computer local area network, adopt a distributed structure and comprise: the data management server is used for processing the application data of the three subsystems in a centralized manner, realizing the functions of data acquisition, storage, preprocessing and retrieval, providing basic data for the whole platform, and connecting the data management server with the Internet and other service database servers according to the specific requirements; the management controller is used for managing data of the three subsystems, operating programs and the like, and is used for providing an operating platform for a user to realize data management, algorithm realization, application model establishment and model application maintenance control command release; the application server transmits the data and various instructions to the application programs of the three subsystems through the application server, and uses the acquired data to realize the application program of the client and input and output terminals.

The method comprises the following specific steps: (1) the manufacturer enters a platform manufacturer goods supply management subsystem through a login name and a password, information such as monthly sales volume, unit inventory holding cost, unit price and the like of a certain area of a product is input according to the condition of an enterprise, the system calculates the optimal goods supply point of the product through a constructed economic goods supply batch model (ESQ), the enterprise delays delivery time of the goods on the premise of meeting the delivery date of a client, waits for other orders to be combined with the orders, the system utilizes a greedy method combined order, when the quantity of the product in the combined order reaches the optimal goods supply point, namely, the combined order is issued on the platform, a logistics order analysis subsystem realizes the order receiving process of a proper logistics provider, the number of times of goods delivery is reduced under the condition of certain sales volume, and the logistics cost of the manufacturer is reduced from the source.

(2) And the logistics merchant enters the interface according to the login name and the password. The logistics manufacturer order analysis subsystem analyzes the manufacturer issued order by combining a two-stage method and 0-1 type integer programming, and maximizes the utilization rate of vehicle volume and the benefit of a logistics party under the condition of meeting the constraint of the delivery date of a customer. In the first stage of the two-stage method, the goods that must be delivered during delivery are determined based on customer relationship. And in the second stage, the remaining loading capacity and the volume of the truck are determined on the basis of the completion of the loading in the first stage, and the profit maximization order combination under the condition that the loading capacity of the truck is not exceeded is realized by combining an information table of the volume, the weight and the order profit of the goods to be delivered with a 0-1 type integer programming. And selecting the most suitable order according to the analysis result to carry out the next path optimization process.

(3) And the logistics quotient path optimization subsystem utilizes a C-W algorithm to make a scheme with the minimum total vehicle transportation mileage (time or cost) according to the transportation capacity of the logistics center and the distances from the logistics center to each delivery/pickup point and each delivery/pickup point.

The invention has the beneficial effects that:

(1) the invention establishes a brand-new integrated supply chain management platform, the management platform on the market only aims at one management platform, such as a supplier information management platform, and the goods supply and logistics distribution are not combined, so that the many-to-many operation mode of the manufacturing industry and the logistics industry has low efficiency. The platform changes a many-to-many operation mode into a many-to-one or one-to-many operation mode between two industries, and improves the cooperation efficiency of the two parties. The three subsystems cooperate together to realize the integration and optimization of domestic supply chain management.

(2) The platform can change the domestic supply chain into networking, realizes internal networking from goods supply decision-making to logistics demand planning, distribution management and the like, effectively realizes intellectualization and convenience in the supply chain management process, well and orderly processes business between a large number of manufacturing industries and logistics industries, greatly reduces labor intensity and time loss of manpower, and can obtain higher economic benefit and social benefit.

(3) The manufacturer goods supply management subsystem reduces logistics cost by reducing distribution times on the premise of a certain enterprise sales volume, reduces the vehicle idle load rate by combining with the logistics provider order analysis subsystem, shortens the distribution path by combining with the logistics provider distribution path optimization subsystem, and realizes the reduction of the logistics cost of the whole society by perfectly linking the three subsystems of the whole platform.

Drawings

FIG. 1 is a flow chart of the platform

FIG. 2 is a schematic diagram of the operation of the platform

FIG. 3 platform Main interface diagram

FIG. 4 functional area diagram of the platform

FIG. 5 is a diagram of vendor management operations

FIG. 6 manufacturer information adding, deleting and modifying interface

FIG. 7 is a diagram of supplier's supply point calculation results

FIG. 8 is a functional diagram of the analysis of the commodity order of the logistics

FIG. 9 query diagram of logistics distribution vehicle information

FIG. 10 is a diagram of logistics order information published on a platform

FIG. 11 path optimization result diagram

Detailed Description

The embodiments of the present invention will be described with reference to the accompanying drawings.

The integrated supply chain management platform comprises the following operation steps: (1) the manufacturer enters a platform manufacturer goods supply management subsystem through a login name and a password, information such as monthly sales volume, unit inventory holding cost, unit price and the like of a certain area of a product is input according to the condition of an enterprise, the system calculates the optimal goods supply point of the product through a constructed economic goods supply batch model (ESQ), the enterprise delays delivery time on the premise of meeting the delivery date of a client, waits for other orders to be combined with the orders, the system utilizes a greedy method to combine orders, when the quantity of the product in the combined orders reaches the optimal goods supply point, the combined orders are issued on the platform, and a logistics order analysis subsystem realizes the order receiving process of a proper logistics provider. Under the condition of a certain sales volume, the number of times of goods distribution is reduced, and the logistics cost of a manufacturer is reduced from the source.

Fig. 1 and fig. 2 are flowcharts of operations of three subsystems of the platform, a manufacturer supply management subsystem makes a supply decision and issues an order on the platform, a logistics merchant order analysis subsystem performs order analysis and order taking, and a logistics merchant distribution path optimization subsystem selects a most appropriate path.

First, a client inputs a user name and a password to log in the platform as shown in fig. 3, and enters a platform function partition after logging in as shown in fig. 4.

The manufacturer chooses to enter the manufacturer supply management subsystem, inputs the enterprise number or name, and queries the best supply point, as shown in fig. 5. According to different products and different sale time, basic information such as sale, distribution and the like of enterprises can be changed, and then a manufacturer information modification function interface can be entered, and information modification is carried out to recalculate the optimal delivery point, as shown in fig. 6. The system automatically integrates the best supply point for the product, applies a greedy combined order, the result of which is shown in fig. 7, and publishes it on the platform.

(4) The logistics provider enters the logistics provider order analysis subsystem to select and query the order information issued by the manufacturer supply management subsystem, and according to the first-stage analysis principle, the priorities are sorted according to the priority of the customer, as shown in fig. 8. After the first stage, the remaining orders are screened for one time, and the remaining orders are processed in a descending order with profits as main keywords. In the second stage, the logistics provider is queried for available delivery vehicles and the remaining volume and weight are calculated as shown in FIG. 9. And ordering the orders meeting the conditions for the second time under the condition of meeting the residual bearing capacity and the residual volume of the vehicle by taking the profit as a main factor to obtain a final ordering result, and carrying out order receiving processing by the logistics trader according to the result.

(5) Entering a manufacturer distribution path optimization subsystem, clicking distribution path optimization, and inquiring distribution order information, namely inquiring order information selected according to specific bearing and volume of a distribution vehicle in a logistics merchant order analysis stage as shown in fig. 10; selecting a distribution mode according to the query result, solving the distance and the saving value of the order by the system through a C-W saving algorithm according to the order distance information, and automatically solving the optimal path by using the idea of the maximum saving and the shortest path, as shown in FIG. 11;

it should be understood that the above-described embodiments of the present invention are illustrative and not restrictive, and the scope of the invention is to be determined by the appended claims.

Claims

1. An integrated supply chain management platform is characterized by comprising three subsystems of manufacturer supply management, logistics order analysis and logistics path optimization, wherein the manufacturer supply management subsystem performs supply decision on an order received by a manufacturer and issues the order on the platform, the logistics order analysis subsystem performs profit analysis on the order issued on the platform and then receives the order, and finally, the optimal path is selected according to the logistics distribution path optimization subsystem and the order is distributed; the three subsystems adopt a distributed structure, the working contents are buckled and started up and down circularly, and the operation of each subsystem is the basis of the smooth operation of the next subsystem;

the manufacturer supply management subsystem converts a management method for seller inventory control into a management method for manufacturer production decision by referencing EOQ economic supply batch model and innovating the model;

the logistics merchant order analysis subsystem determines the order which must be distributed preferentially according to the actual condition of the order by combining a two-stage method and integer programming, and calculates the order combination with the maximum profit according to the remaining truck volume and load after the first stage;

the logistics merchant path optimization subsystem divides distribution into urban distribution and urban distribution modes according to different distribution actual conditions of logistics merchants, subdivides the distribution into a point-to-multipoint mode, a multipoint-to-multipoint mode, a point-to-one point mode and other possible conditions, and designs different optimization modes for discussion.