A logistics data analysis method for supply chain management

Abstract

The application discloses a logistics data analysis method for supply chain management, and belongs to the technical field of logistics data analysis; according to the supply chain, a supply chain logistics network is acquired, and various logistics channels are acquired according to the supply chain logistics network, and then corresponding logistics data in the various logistics channels is collected; the logistics data in the various logistics channels is analyzed to acquire abnormal logistics data; correct logistics data is acquired according to the abnormal logistics data, and various logistics data values are acquired according to the correct logistics data, wherein the logistics data values include production logistics data values and sales logistics data values; the logistics data values are used to generate corresponding alarm signals, and the various logistics channels are decided and rectified according to the alarm signals; and the application improves the transportation accuracy of logistics data of supply chain management and improves the satisfaction degree of customers.

Description

Technical Field

[0001] This invention relates to the field of logistics data analysis technology, specifically a logistics data analysis method for supply chain management. Background Technology

[0002] A supply chain is a logistics network comprised of suppliers, manufacturers, warehouses, distribution centers, and distributors. While a single company may constitute different nodes within this network, more often, different companies form these nodes. For example, in a supply chain, the same company may occupy positions as a manufacturer, warehouse, and distribution center. In supply chains with increasingly specialized divisions and higher professional requirements, different nodes are typically composed of different companies. The flow of raw materials, work-in-process inventory, and finished goods between the various members of the supply chain constitutes the flow of goods within the supply chain. Statistics show that a company's supply chain can account for up to 25% of its operating costs; effective supply chain management can help achieve four objectives: shorten cash turnover time; reduce corporate risks; achieve profit growth; and provide predictable revenue.

[0003] In existing technologies, the integration and optimization of the supply chain improves the business efficiency of suppliers, manufacturers, and retailers. It is crucial that goods are produced and sold in the right quantity, with the right quality, in the right place, at the right time, and at the best cost. However, when suppliers, manufacturers, and retailers have a large amount of order data, errors may occur in delivery or problems may arise during transportation, making it impossible to produce and sell goods in the right quantity, with the right quality, in the right place, at the right time, and at the best cost. Therefore, a logistics data analysis method for supply chain management is provided. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a logistics data analysis method for supply chain management;

[0005] The objective of this invention can be achieved through the following technical solution: a logistics data analysis method for supply chain management, the method comprising the following steps:

[0006] Step S1: Obtain the supply chain logistics network based on the supply chain, and obtain each logistics path based on the supply chain logistics network, and then collect the corresponding logistics data in each logistics path;

[0007] Step S2: Analyze the logistics data in each logistics route to obtain abnormal logistics data;

[0008] Step S3: Obtain the correct logistics data based on the abnormal logistics data, and obtain each logistics data value based on the correct logistics data. The logistics data values ​​include production logistics data values ​​and sales logistics data values.

[0009] Step S4: Generate corresponding alarm signals from the logistics data values, and make decisions and make corrections for each logistics route based on the alarm signals.

[0010] Furthermore, the process of obtaining the logistics route includes:

[0011] The supply chain management system includes production units, a warehouse center, and a marketing unit, all wirelessly connected. The production unit generates production nodes for each production enterprise in the supply chain and collects the corresponding production data. The warehouse center receives the inbound logistics data from the production unit. The marketing unit generates sales nodes for each sales enterprise in the supply chain and collects the corresponding sales data.

[0012] Number the production node and the sales node respectively, generate production number and sales number, and denot them as i and j, where i and j are both positive integers;

[0013] The warehouse center generates a warehouse center node, which is then connected to various production nodes and sales nodes in the production and marketing units to create a supply chain logistics network.

[0014] The logistics path is generated by connecting the production node, the warehouse center node, and the sales node in the supply chain logistics network.

[0015] Furthermore, the process of collecting the logistics data includes:

[0016] The production data includes product name, product code, basic product production information, and order information; the basic product production information includes product production number, product production quantity, and product production time; the order information includes order code, product code, order quantity, order sales amount, and sales destination; the sales data includes product name, total sales amount, total cost, and sales frequency.

[0017] Among them, the product code serves as the unique identifier for the product; the order code serves as the unique identifier for the order information.

[0018] The production node collects and merges corresponding shipment data based on several order information to generate a shipment product database. The products corresponding to the shipment product database are then sent to the warehouse center node via logistics channels, where the corresponding inbound logistics data is collected. The shipment product data includes order information, shipment time, shipment method, and transportation costs. The inbound logistics data includes production number and basic inbound information. The basic inbound information includes the inbound product name, quantity, order code, and sales destination.

[0019] The data collected from production nodes, warehouse center nodes, and sales nodes in the logistics process are connected to generate logistics data.

[0020] Furthermore, the process of acquiring the abnormal logistics data includes:

[0021] The warehouse center node obtains the production number corresponding to each basic information of the warehouse entry, schedules the corresponding production node to send the product database according to the production number, and matches the order code in the product database according to the order code of the warehouse entry order to obtain the corresponding order information. Based on the order information, it obtains the product code corresponding to the production node, and obtains all the corresponding product names according to the product code, and then performs the first matching with the name of the warehouse entry product.

[0022] If all items are matched successfully the first time, the quantity of the order corresponding to the product name is obtained and matched with the quantity of the inbound products corresponding to the product name a second time. If all items are matched successfully the second time, the inbound logistics data is correct. If all items are not matched successfully the second time, the unmatched quantity of inbound products is marked as abnormal quantity of inbound products, and the corresponding product name is obtained and connected to generate an abnormal quantity of inbound products order.

[0023] If the first attempt fails to match all items, the unmatched product names are retrieved and marked as abnormal product names. The order quantities corresponding to the unmatched product names are then matched with the inbound product quantities. If all items match successfully, the abnormal product names are concatenated with the corresponding inbound product quantities to generate an error product name order. Otherwise, the unmatched inbound product quantities are retrieved and marked as abnormal inbound product quantities. The corresponding product names are retrieved and concatenated to generate an abnormal inbound product quantity order. The abnormal product names and their corresponding inbound product quantity orders are retrieved and concatenated to generate an abnormal product name order. Finally, these are merged with the abnormal inbound product quantity order to generate a total abnormal order.

[0024] The abnormal inbound goods quantity list, incorrect goods name list, and total abnormal list are merged with the corresponding order information to generate the corresponding abnormal logistics data.

[0025] Furthermore, the process of obtaining the correct logistics data includes:

[0026] The central management terminal connected to the warehouse center node retrieves the goods corresponding to the inbound logistics data packets of the abnormal logistics data back to the corresponding production node through the logistics path, and sends the corresponding abnormal logistics to the production management terminal connected to the corresponding production node. The production management terminal compares the abnormal inbound goods quantity list, the incorrect goods name list and the total abnormal list with the corresponding order information based on the received abnormal logistics data, obtains the corresponding abnormal inbound goods quantity and abnormal goods name, marks the corresponding goods after adjusting the order information as adjusted goods, and resends them to the warehouse center node through the logistics path.

[0027] The adjustment order includes adding a product order, reverting a product order, and modifying a product order;

[0028] The warehouse center node collects the inbound logistics data corresponding to the adjusted goods and performs a first and second match. If the inbound logistics data is correct, the adjusted goods are marked as having correct logistics data; otherwise, the data is reverted until normal logistics data is obtained.

[0029] Normal logistics data is sent to the corresponding sales nodes through the appropriate logistics channels.

[0030] Furthermore, the process of acquiring the production logistics data values ​​includes:

[0031] Each sales node collects the arrival time, name, and quantity of goods corresponding to the normal logistics data, and compares it with the order information. If the comparison is successful, it is marked as satisfactory and feedback is sent to the corresponding production node; otherwise, it is marked as unsatisfactory and feedback is sent to the corresponding production node.

[0032] The production node is set to receive order information periodically. The production node obtains the number of satisfied and dissatisfied orders corresponding to the order information data periodically, and obtains the total number of adjustment orders corresponding to the corresponding adjustment orders, thereby obtaining the transportation satisfaction rate of the production node.

[0033] The specific formulas include:

[0034] ;

[0035] in, Let U represent the transportation satisfaction rate at production node i in order information period t; U1, U2, and U3 represent the number of satisfied orders, the number of dissatisfied orders, and the total number of adjustment orders, respectively; w1 and w2 represent the influence coefficients corresponding to the number of satisfied orders and the total number of adjustment orders, respectively, i.e., both take the value (0, 1), and w1 + w2 = 1; N represents the total number of order information, and N is a positive integer greater than 0;

[0036] Based on the order information cycle, obtain the basic production information of the goods corresponding to the production node, and process it to obtain the remaining quantity value of the goods corresponding to the production node. ;

[0037] The specific formula is as follows:

[0038] ;

[0039] in, Let represent the remaining quantity of goods at production node i in order information period t; p represents the production site number of the goods, p=1,2,...,q, and q takes the value of a positive integer; T represents the production time of the goods in order information period t; This represents the quantity of goods produced at the production time T corresponding to the production site number p; cm represents the product name, and d represents the quantity of goods produced. cm This represents the quantity of items in the order corresponding to the product name;

[0040] Obtain the order sales amount from the order information, and then obtain the corresponding order cost price. Finally, calculate the profit margin for each production stage based on the shipping costs. ;

[0041] Specifically, the formula is:

[0042] ;

[0043] in, F represents the profit amount of the product at production node i in order information period t; x represents the order code at order information period t, x = 1, 2, ..., y, and y takes positive integer values; x C x and Y x This is represented by the order sales amount, order cost price, and goods transportation cost corresponding to the order code;

[0044] Based on the product shipping time and the time of arrival of goods Shipping time to obtain order information The specific formula is: ;

[0045] The system connects transportation satisfaction, merchandise inventory, merchandise profit, and transportation time with the corresponding production nodes to generate production logistics data values.

[0046] Furthermore, the process of obtaining the sales logistics data values ​​includes:

[0047] The sales node obtains the sales profit and the name of the frequently sold products corresponding to the sales node based on the sales data.

[0048] The formula for obtaining the sales profit is:

[0049] ;

[0050] in, This represents the sales profit of product name mc at sales node j within order information period t. This represents the total sales revenue for the product named "mc". This represents the total cost associated with the product name "mc". This represents the sales frequency corresponding to the product name "mc";

[0051] The process of obtaining the names of the frequently sold products includes:

[0052] Get The corresponding product names are identified and marked as high-frequency selling product names. The high-frequency selling product names are then merged to generate a high-frequency selling product name dataset.

[0053] The sales profit and high-frequency selling product name datasets are merged with the corresponding sales nodes to generate sales logistics data values.

[0054] Furthermore, the alarm signal generation process includes:

[0055] Will , , , and Correspondingly, the following alarm signals are generated based on the transportation satisfaction, remaining inventory, profit margin, transportation time, and sales profit: transportation satisfaction alarm signal, remaining inventory alarm signal, profit margin alarm signal, transportation time alarm signal, and sales profit alarm signal; otherwise, no action is taken.

[0056] The corresponding alarm signals are sent to the production management terminal and sales management terminal connected to the corresponding production node and sales node, and decisions are made based on the logistics data corresponding to the logistics path according to the alarm signals.

[0057] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention obtains the supply chain logistics network based on the supply chain, and obtains various logistics paths based on the supply chain logistics network, thereby collecting corresponding logistics data in each logistics path; it analyzes the logistics data in each logistics path to obtain abnormal logistics data; it obtains correct logistics data based on the abnormal logistics data, and obtains various logistics data values ​​based on the correct logistics data, wherein the logistics data values ​​include production logistics data values ​​and sales logistics data values; it generates corresponding alarm signals from the logistics data values, and makes decisions and rectifications for each logistics path based on the alarm signals; this invention improves the transportation accuracy of logistics data in supply chain management and improves customer satisfaction. Attached Figure Description

[0058] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0059] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0060] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Example

[0061] like Figure 1 As shown, a logistics data analysis method for supply chain management includes the following steps:

[0062] Step S1: Obtain the supply chain logistics network based on the supply chain, and obtain each logistics path based on the supply chain logistics network, and then collect the corresponding logistics data in each logistics path;

[0063] Step S2: Analyze the logistics data in each logistics route to obtain abnormal logistics data;

[0064] Step S3: Obtain the correct logistics data based on the abnormal logistics data, and obtain each logistics data value based on the correct logistics data. The logistics data values ​​include production logistics data values ​​and sales logistics data values.

[0065] Step S4: Generate corresponding alarm signals from the logistics data values, and make decisions and make corrections for each logistics route based on the alarm signals; Example

[0066] This embodiment further defines embodiment 1, and step S1 is implemented through the following process:

[0067] The process of obtaining the logistics route includes:

[0068] The supply chain management system includes production units, a warehouse center, and a marketing unit, all wirelessly connected. The production unit generates production nodes for each production enterprise in the supply chain and collects the corresponding production data. The warehouse center receives the inbound logistics data from the production unit. The marketing unit generates sales nodes for each sales enterprise in the supply chain and collects the corresponding sales data.

[0069] Number the production node and the sales node respectively, generate production number and sales number, and denot them as i and j, where n and m are both positive integers;

[0070] The warehouse center generates a warehouse center node, which is then connected to various production nodes and sales nodes in the production and marketing units to create a supply chain logistics network.

[0071] It should be further noted that, in the specific implementation process, the production unit includes, but is not limited to, suppliers, manufacturers, distributors, etc.; the market unit includes several sales companies.

[0072] The logistics path is generated by connecting the production node, the warehouse center node, and the sales node in the supply chain logistics network.

[0073] The process of collecting the logistics data includes:

[0074] The production data includes product name, product code, basic product production information, and order information; the basic product production information includes product production site number, product production quantity, and product production time; the order information includes order code, product code, order product quantity, order sales amount, and sales destination; wherein, the product code serves as a unique identifier for the product; the order code serves as a unique identifier for the order information;

[0075] The sales data includes product name, total sales revenue, total cost, and sales frequency;

[0076] The production node collects and merges the corresponding shipment data based on several order information to generate a shipment database. The shipment database is then sent to the warehouse center node via logistics. The production node collects the corresponding warehouse logistics data for the shipment and sends the shipment to the corresponding sales node based on the order information. Finally, the sales node receives the shipment according to the logistics.

[0077] The data on the goods being sent includes order information, goods sending time, goods sending method, and goods shipping costs;

[0078] The inbound logistics data includes the production number and basic inbound information; the basic inbound information includes the name of the inbound product, the quantity of the inbound product, the inbound order code, and the sales destination.

[0079] Connect the data collected from production nodes, warehouse center nodes, and sales nodes in the logistics process to generate logistics data;

[0080] It should be further explained that, in a specific embodiment, several logistics routes are obtained through the supply chain logistics network, and corresponding logistics data is obtained based on the logistics routes. By analyzing the logistics data, abnormal logistics data in the logistics routes can be detected and processed in a timely manner. Example

[0081] This embodiment further defines embodiment 1, and step S2 is implemented through the following process:

[0082] The process of obtaining the abnormal logistics data includes:

[0083] The warehouse center node obtains the production number corresponding to each basic information of the warehouse entry, schedules the corresponding production node to send the product database according to the production number, and matches the order code in the product database according to the order code of the warehouse entry order to obtain the corresponding order information. Based on the order information, it obtains the product code corresponding to the production node, and obtains all the corresponding product names according to the product code, and then performs the first matching with the name of the warehouse entry product.

[0084] If all items are matched successfully the first time, the quantity of the order corresponding to the product name is obtained and matched with the quantity of the inbound products corresponding to the product name a second time. If all items are matched successfully the second time, the inbound logistics data is correct. If all items are not matched successfully the second time, the unmatched quantity of inbound products is marked as abnormal quantity of inbound products, and the corresponding product name is obtained and connected to generate an abnormal quantity of inbound products order.

[0085] If the first attempt fails to match all items, the unmatched product names are retrieved and marked as abnormal product names. The order quantities corresponding to the unmatched product names are then matched with the inbound product quantities. If all items match successfully, the abnormal product names are concatenated with the corresponding inbound product quantities to generate an error product name order. Otherwise, the unmatched inbound product quantities are retrieved and marked as abnormal inbound product quantities. The corresponding product names are retrieved and concatenated to generate an abnormal inbound product quantity order. The abnormal product names and their corresponding inbound product quantity orders are retrieved and concatenated to generate an abnormal product name order. Finally, these are merged with the abnormal inbound product quantity order to generate a total abnormal order.

[0086] The abnormal inbound goods quantity list, incorrect goods name list, and total abnormal list are merged with the corresponding order information to generate the corresponding abnormal logistics data.

[0087] In the above embodiments, it should be further explained that when a large number of order information is received at the production node, and after internal verification by the production enterprise, there may still be delivery problems, or delivery problems may occur during transportation. In order to solve the above problems, ensure that the goods delivered to the sales node are correct, and provide better service to users, it is necessary to judge whether the goods are accurate during the logistics transportation process and make up for the errors. Example

[0088] This embodiment further defines embodiment 1, and step S3 is implemented through the following process:

[0089] The process of obtaining the correct logistics data includes:

[0090] The central management terminal connected to the warehouse center node retrieves the goods corresponding to the inbound logistics data packets of the abnormal logistics data back to the corresponding production node through the logistics path, and sends the corresponding abnormal logistics to the production management terminal connected to the corresponding production node. The production management terminal compares the abnormal inbound goods quantity list, the incorrect goods name list and the total abnormal list with the corresponding order information based on the received abnormal logistics data, obtains the corresponding abnormal inbound goods quantity and abnormal goods name, performs goods adjustment, obtains the adjustment order for storage, marks the corresponding goods after the order information is adjusted as adjusted goods, and resends them to the warehouse center node through the logistics path.

[0091] The adjustment order includes adding a product order, reverting a product order, and modifying a product order;

[0092] The warehouse center node collects the inbound logistics data corresponding to the adjusted goods and performs a first and second match. If the inbound logistics data is correct, the adjusted goods are marked as having correct logistics data; otherwise, the data is reverted until normal logistics data is obtained.

[0093] Normal logistics data will be sent to the corresponding sales nodes through the appropriate logistics channels.

[0094] The process of acquiring the production logistics data values ​​includes:

[0095] Each sales node collects the arrival time, name, and quantity of goods corresponding to the normal logistics data, and compares it with the order information. If the comparison is successful, it is marked as satisfactory and feedback is sent to the corresponding production node; otherwise, it is marked as unsatisfactory and feedback is sent to the corresponding production node.

[0096] The production node is set to receive order information periodically. The production node obtains the number of satisfied and dissatisfied orders corresponding to the order information data periodically, and obtains the total number of adjustment orders corresponding to the corresponding adjustment orders, thereby obtaining the transportation satisfaction rate of the production node.

[0097] The specific formulas include:

[0098] ;

[0099] in, Let U represent the transportation satisfaction rate at production node i in order information period t; U1, U2, and U3 represent the number of satisfied orders, the number of dissatisfied orders, and the total number of adjustment orders, respectively; w1 and w2 represent the influence coefficients corresponding to the number of satisfied orders and the total number of adjustment orders, respectively, i.e., both take the value (0, 1), and w1 + w2 = 1; N represents the total number of order information, and N is a positive integer greater than 0;

[0100] Based on the order information cycle, obtain the basic production information of the goods corresponding to the production node, and process it to obtain the remaining quantity value of the goods corresponding to the production node;

[0101] The specific process includes:

[0102] ;

[0103] in, Let represent the remaining quantity of goods at production node i in order information period t; p represents the production site number of the goods, p=1,2,...,q, and q takes the value of a positive integer; T represents the production time of the goods in order information period t; This represents the quantity of goods produced at the production time T corresponding to the production site number p; cm represents the product name, and d represents the quantity of goods produced. cm This represents the quantity of items in the order corresponding to the product name;

[0104] Obtain the order sales amount from the order information and the corresponding order cost price, and then obtain the profit amount of the product at the production node based on the product transportation cost;

[0105] The specific formula is as follows:

[0106] ;

[0107] in, F represents the profit amount of the product at production node i in order information period t; x represents the order code at order information period t, x = 1, 2, ..., y, and y takes positive integer values; x C x and Y x This is represented by the order sales amount, order cost price, and goods transportation cost corresponding to the order code;

[0108] Based on the product shipping time and the time of arrival of goods Shipping time to obtain order information The specific formula is: ;

[0109] The data on transportation satisfaction, remaining inventory, profit margin, and transportation time are linked to the corresponding production nodes to generate production logistics data.

[0110] The process of obtaining the sales logistics data values ​​includes:

[0111] The sales node obtains the sales profit and high-frequency sales product name profit corresponding to the sales node based on the sales data.

[0112] The formula for obtaining the sales profit is:

[0113] ;

[0114] in, This represents the sales profit of product name mc at sales node j within order information period t. This represents the total sales revenue for the product named "mc". This represents the total cost associated with the product name "mc". This represents the sales frequency corresponding to the product name "mc".

[0115] The process of obtaining the names of the frequently sold products includes:

[0116] Get The corresponding product names are identified and marked as high-frequency selling product names. The high-frequency selling product names are then merged to generate a high-frequency selling product name dataset.

[0117] The sales profit and high-frequency selling product name datasets are merged with the corresponding sales nodes to generate sales logistics data values;

[0118] It should be further explained that, in the actual implementation process, goods were sometimes sold below cost price; Example

[0119] This embodiment further defines embodiment 1, and step S4 is implemented through the following process:

[0120] The alarm signal generation process includes:

[0121] Will , , , and Correspondingly, the following alarm signals are generated based on the transportation satisfaction, remaining inventory, profit margin, transportation time, and sales profit: transportation satisfaction alarm signal, remaining inventory alarm signal, profit margin alarm signal, transportation time alarm signal, and sales profit alarm signal; otherwise, no action is taken.

[0122] The corresponding alarm signals are sent to the production management terminal and sales management terminal connected to the corresponding production node and sales node, and decisions are made on the logistics data corresponding to the logistics path based on the alarm signals.

[0123] Set corresponding decisions for the received transportation satisfaction alarm signal, merchandise balance alarm signal, merchandise profit alarm signal, transportation time alarm signal and sales profit alarm signal;

[0124] It should be further explained that, in specific embodiments, the decisions are respectively to improve the delivery control of goods corresponding to order information, improve the production rate of goods, reduce the transportation cost of goods, change the delivery method of goods, etc.

[0125] Furthermore, using the order information cycle as the horizontal axis and the production logistics data value and sales logistics data value as the vertical axis, we obtain the corresponding bar charts for the production nodes and sales nodes, and send them to the corresponding production management terminals and sales management terminals.

[0126] Furthermore, the sales management terminal receives the product names corresponding to the high-frequency sales product name dataset, increases the quantity of the products corresponding to the product names, and decreases the quantity of other products;

[0127] The features and exemplary embodiments of various aspects of this application will be described in detail above. In order to make the purpose, technical solution and advantages of this application clearer, the application will be further described in detail above with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain this application and not to limit this application. For those skilled in the art, this application can be implemented without some of the details in these specific details. The above description of the embodiments is only to provide a better understanding of this application by showing examples of this application.

[0128] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A logistics data analysis method for supply chain management, characterized by, The method comprises the following steps: Step S1: obtaining a supply chain logistics network according to a supply chain, and obtaining each logistics path according to the supply chain logistics network, and then collecting corresponding logistics data in each logistics path; Step S2: analyzing the logistics data in each logistics path to obtain abnormal logistics data; Step S3: obtaining correct logistics data according to the abnormal logistics data, and obtaining each logistics data value according to the correct logistics data, wherein the logistics data value comprises production logistics data value and sales logistics data value; Step S4: generating a corresponding alarm signal from the logistics data value, and making decisions and rectifying each logistics path according to the alarm signal; The logistics path acquisition process comprises: The supply chain management comprises a production unit, a warehouse center and a market unit, and is wirelessly connected, the production unit is used to generate a production node from each production enterprise on the supply chain, and collect corresponding production data of the production node; the warehouse center is used to receive the warehousing logistics data corresponding to the production unit; the data market unit is used to generate a sales node from each sales enterprise on the supply chain, and collect corresponding sales data; The production node and the sales node are numbered respectively to generate production number and sales number, and are denoted as i and j, and i and j are positive integers; The warehouse center generates a warehouse center node, and is connected with each production node and each sales node in the production unit and the market unit to generate a supply chain logistics network; The path from the production node to the sales node on the supply chain logistics network is generated as a logistics path; The abnormal logistics data acquisition process comprises: The warehouse center node obtains the production number corresponding to each warehousing basic information, dispatches the sending commodity database of the corresponding production node according to the production number, matches the order code in the sending commodity database according to the warehousing order code, and then obtains the corresponding order information, obtains the commodity code corresponding to the production node according to the order information, and obtains all the commodity names corresponding to the commodity code, and then performs the first matching with the warehousing commodity name; If the first matching is successful, the order commodity quantity corresponding to the commodity name is obtained, and the second matching with the warehousing commodity quantity corresponding to the commodity name is performed, if the second matching is successful, the warehousing logistics data is correct, if the second matching is not successful, the unmatched warehousing commodity quantity is obtained and marked as an abnormal warehousing commodity quantity, and the corresponding commodity name is connected to generate an abnormal warehousing commodity quantity sheet; If the first time is not all matched successfully, the unmatched commodity name is obtained and marked as an abnormal commodity name, and then the order commodity quantity corresponding to the unmatched commodity name is matched with the warehouse commodity quantity, if all are matched successfully, the abnormal commodity name and the corresponding warehouse commodity quantity are connected to generate an error commodity name single; otherwise, the unmatched warehouse commodity quantity is obtained and marked as an abnormal warehouse commodity quantity, and the corresponding commodity name is connected to generate an abnormal warehouse commodity quantity single, the abnormal commodity name and the abnormal commodity name corresponding to the warehouse commodity quantity single are obtained and connected to generate an abnormal commodity name single, and then combined with the abnormal warehouse commodity quantity single to generate a total abnormal single; The abnormal warehouse commodity quantity single, the error commodity name single and the total abnormal single are respectively combined with the corresponding order information to generate corresponding abnormal logistics data; The correct logistics data acquisition process includes: The center management terminal connected to the warehouse center node adjusts the goods corresponding to the abnormal logistics data package to the corresponding production node through the logistics channel, and sends the corresponding abnormal logistics to the production management terminal connected to the corresponding production node. The production management terminal compares the abnormal warehouse commodity quantity single, the error commodity name single and the total abnormal single with the corresponding order information according to the received abnormal logistics data, obtains the corresponding abnormal warehouse commodity quantity and abnormal commodity name, marks the corresponding commodity of the order information after adjustment as adjustment commodity, and sends it to the warehouse center node through the logistics channel again; The added commodity single, the returned commodity single and the modified commodity single are marked as adjustment single; The warehouse center node collects the warehouse logistics data corresponding to the adjustment commodity and performs the first matching and the second matching, if the warehouse logistics data is correct, the adjustment commodity is marked as correct logistics data; otherwise, it is returned until the normal logistics data is obtained; The normal logistics data is sent to the corresponding sales node through the corresponding logistics channel.

2. The logistics data analysis method for supply chain management according to claim 1, wherein, The logistics data acquisition process includes: The production data includes commodity name, commodity code, commodity production basic information and order information; the order information includes order code, commodity code, order commodity quantity, order sales and sales destination; the sales data includes commodity name, total sales, total cost and sales frequency; Among them, the commodity code is the unique identification of the commodity; the order code is the unique identification of the order information; The production node collects corresponding sending commodity data according to a plurality of order information and combines to generate sending commodity database, and sends the corresponding goods of the sending commodity database to the warehouse center node through the logistics channel, and collects the warehouse logistics data corresponding to the goods; the sending commodity data includes order information, commodity sending time, commodity sending mode and commodity transportation cost; the warehouse logistics data includes production number and warehouse basic information; the warehouse basic information includes warehouse commodity name, warehouse commodity quantity, warehouse order code and sales destination; The data collected by the production node, the warehouse center node and the sales node in the logistics channel are connected to generate logistics data.

3. The logistics data analysis method for supply chain management according to claim 2, wherein, The production logistics data value acquisition process includes: Each sales node collects the arrival time, arrival name and corresponding arrival quantity of the goods, and compares it with the order information. If the comparison is successful, it is marked as satisfactory and fed back to the corresponding production node; otherwise, it is marked as unsatisfactory and fed back to the corresponding production node; Set the production node to receive order information cycle, the production node according to order information data cycle to obtain the corresponding satisfaction and dissatisfaction respectively corresponding to the satisfaction quantity and dissatisfaction quantity, and obtain the corresponding adjustment total quantity of the corresponding adjustment, and then obtain the corresponding transport satisfaction of the production node; That is, the specific formula includes: ； wherein, U1, U2 and U3 represent the number of satisfied, unsatisfied and total adjustment orders, respectively; w1 and w2 represent the influence coefficients corresponding to the number of satisfied and total adjustment orders, respectively, i.e., both take values (0, 1), and w1 + w2 = 1; N represents the total number of order information, and N is a positive integer greater than 0; According to the order information cycle, the production node corresponding commodity production basic information is obtained, and the production node corresponding commodity residual value is obtained by processing ; The order sales in the order information is obtained, and the order cost price corresponding to the order information is obtained, and then the production node corresponding commodity profit is obtained according to the commodity transportation cost ; Finally, the transportation time of the order information is obtained according to the commodity sending time and the commodity arrival time ; The transport satisfaction, commodity surplus value, commodity profit and transport time are connected with the corresponding production node to generate production logistics data value.

4. The logistics data analysis method for supply chain management according to claim 2, wherein, The sales logistics data value acquisition process includes: The sales node obtains the sales profit and high-frequency sales commodity name corresponding to the sales node according to the sales data. The sales profit acquisition formula is: ； wherein, represents the sales profit of the product name mc corresponding to the sales node j at the order information cycle t, represents the total sales amount of the product name mc, represents the total cost amount of the product name mc; represents the sales frequency of the product name mc; The acquisition process of the high-frequency sales commodity name includes: acquire corresponding commodity names, and mark as high-frequency sales commodity names, and merge each high-frequency sales commodity name to generate a high-frequency sales commodity name data set; The sales profit and high-frequency sales commodity name data set are merged with the corresponding sales node to generate sales logistics data value.

5. The logistics data analysis method for supply chain management according to claim 4, wherein, The alarm signal generation process includes: Will , , , and Correspondingly, the following alarm signals are generated based on the transportation satisfaction, remaining inventory, profit margin, transportation time, and sales profit: transportation satisfaction alarm signal, remaining inventory alarm signal, profit margin alarm signal, transportation time alarm signal, and sales profit alarm signal; otherwise, no action is taken. The corresponding alarm signal is sent to the production management terminal and sales management terminal connected with the corresponding production node and sales node, and the logistics data corresponding to the logistics route is decided according to the alarm signal.

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