Digital model construction method for enterprise development planning

Abstract

The invention discloses a digital model construction method for enterprise development planning, and relates to the technical field of enterprise development planning, and the method comprises the steps: analyzing the enterprise operation data of an enterprise in a fixed enterprise operation period, and analyzing the cost input and income conditions of each product at each time node in the enterprise operation period; according to the method, the product income weight ratio of each product at each time node in the enterprise operation cycle is obtained, and the income conditions of each product at different time nodes are judged according to the obtained product income weight ratio of each product, so that whether the cost input of the product is increased or reduced in the next enterprise operation cycle is judged. Therefore, the investment of the product with good income can be increased at the time node of high income to obtain higher income, meanwhile, the situation that the investment of the product at the time node of low income is too high, the income is too low or the loss exists is avoided, and an enterprise can better control the peak season and the slack season of each product.

Description

Technical Field

[0001] The present invention relates to the technical field of enterprise development planning, and specifically to a method for constructing a digital model for enterprise development planning. Background Art

[0002] Enterprise management is a general term for a series of activities such as planning, organizing, commanding, coordinating, and controlling the production and operation activities of an enterprise, and is an objective requirement for large-scale socialized production; enterprise management is to make the best use of the human, material, financial, and information resources of the enterprise as much as possible to achieve the goals of saving, speed, quantity, and quality, and obtain the maximum input-output efficiency. In the existing technology, enterprises cannot keenly perceive the profit levels of products in different periods, which has a great impact on the investment layout of products by enterprises at different times, making "hot-selling" products not in the real hot-selling period. Therefore, a method for constructing a digital model for enterprise development planning is provided herein. Summary of the Invention

[0003] The purpose of the present invention is to provide a method for constructing a digital model for enterprise development planning.

[0004] The purpose of the present invention can be achieved through the following technical solutions: A method for constructing a digital model for enterprise development planning includes the following steps: Step 1: Construct an enterprise operation information platform and regularly update enterprise operation data on the enterprise operation information platform. Step 2: Construct an enterprise development digital model based on the known enterprise operation data. Step 3: Predict the development of the enterprise according to the constructed enterprise development digital model.

[0005] Further, the construction process of the enterprise operation information platform includes: Construct a number of information link ports and link the information link ports with enterprise operation data sources in different dimensions. Set up information verification units at each information link port, and manage the data import permissions of each enterprise operation data source through the information verification units. Set up data verification units to verify the enterprise operation data of each enterprise operation data source through the data verification units.

[0006] Further, the process of managing the data import permissions of each enterprise operation data source includes: Set up personnel information verification ports to verify the identity information of the management personnel of the enterprise operation data source through the personnel information verification ports. The specific process includes: Managers of the enterprise operation data source input their personal identity information through the personnel information verification port; it should be further noted that in the specific implementation process, the personal identity information includes name, gender, age, occupation, and real-name certified mobile phone number; Review the personal identity information input by the managers of the enterprise operation data source, and after passing the review, generate a verification account and password based on the mobile phone number input by the managers of the enterprise operation data source, and grant data import permission to the verification account.

[0007] Furthermore, the enterprise operation data source is provided with a database for storing the enterprise operation data corresponding to the enterprise operation data source. The database performs identification processing on the stored enterprise operation data, including: Establish a temporary data storage area in the database, import the enterprise operation data to be stored in the database into the temporary data storage area, classify the enterprise operation data, generate category labels, and bind and associate the generated category labels with the corresponding enterprise operation data; Migrate the enterprise operation data to a specified location in the database for storage.

[0008] Furthermore, each database corresponding to the enterprise operation data source is provided with a unique and different identification sequence. When the enterprise operation data is moved to a specified location in the database, the identification sequence of the database is fitted with the enterprise operation data to generate new enterprise operation data, and the identification sequence is sent to the data verification unit; Set a cycle T, generate a data upload instruction every cycle T, and send the data upload instruction to the managers of the enterprise operation data source. After the managers of the enterprise operation data source confirm the data upload instruction, upload the new enterprise operation data to the data verification unit; The data verification unit analyzes the obtained enterprise operation data, obtains the identification sequence of the database therein, and checks whether the obtained database identification sequence is the same as any one of the identification sequences in the data verification unit.

[0009] Furthermore, the process of establishing an enterprise development digital model based on the enterprise operation data in the enterprise operation information platform includes: Establish several enterprise operation time axes, and generate time nodes on the enterprise operation time axes according to the enterprise operation data; Map the enterprise operation data from different enterprise operation data sources to the corresponding time nodes on the enterprise operation time axes according to their corresponding times; Obtain the cost input and net income of all products in the enterprise operation data corresponding to each time node; obtain the income weight ratio of each product within the time span of each enterprise operation time axis and the income weight ratio of each product at each time node, so as to obtain the reference threshold line and the product income weight ratio change curve, and map them to the same coordinate system to obtain the product operation model diagram of each product within each enterprise operation time axis. Summarize all the product operation model diagrams to obtain the enterprise development digital model.

[0010] Further, the process of predicting the development of the enterprise within the corresponding time span of the next enterprise operation time axis according to the obtained enterprise development digital model includes: Set the fluctuation coefficient, and judge the cost input trend of the product within the next enterprise operation cycle according to the obtained product operation model diagram of the product and the fluctuation coefficient.

[0011] Compared with the prior art, the beneficial effects of the present invention are as follows: By analyzing the enterprise operation data of the enterprise within a fixed enterprise operation cycle and the cost input and income conditions of each product at each time node within the enterprise operation cycle, the product income weight ratio of each product at each time node within the enterprise operation cycle is obtained. According to the obtained product income weight ratio of each product, judge the income conditions of each product at different time nodes, so as to judge whether to increase or decrease the cost input of the product within the next enterprise operation cycle, so that the products with good income can increase the input at the high-income time nodes to obtain higher income, and at the same time avoid excessive input of products at the low-income time nodes, avoid too low income or losses, so that the enterprise can better control the "peak season" and "off season" of each product. Brief Description of the Drawings

[0012] Figure 1 It is the schematic diagram of the present invention. Detailed Embodiment

[0013] As Figure 1 shown, a digital model construction method for enterprise development planning includes the following steps: Step 1: Construct an enterprise operation information platform and regularly update the enterprise operation data on the enterprise operation information platform; Step 2: Construct an enterprise development digital model according to the known enterprise operation data; Step 3: Predict the enterprise development according to the constructed enterprise development digital model.

[0014] It should be further noted that in the specific implementation process, the construction process of the enterprise operation information platform includes: Construct a number of information link ports and link the information link ports with the sources of enterprise operation data in different dimensions. It should be further noted that in the specific implementation process, the sources of enterprise operation data in different dimensions include different departments, regions, and branch companies, etc. Set up an information verification unit at each information link port. Through the information verification unit, manage the data import permissions of each source of enterprise operation data. It should be further noted that in the specific implementation process, the process of managing the data import permissions of each source of enterprise operation data includes: Set up a data verification unit to verify the enterprise operation data of each source of enterprise operation data through the data verification unit, so as to prevent external data from entering the enterprise operation information platform. The specific process includes: Set up a personnel information verification port to verify the identity information of the management personnel of the source of enterprise operation data through the personnel information verification port. The specific process includes: The management personnel of the source of enterprise operation data input their personal identity information through the personnel information verification port. It should be further noted that in the specific implementation process, the personal identity information includes name, gender, age, occupation, and a real-name certified mobile phone number. Review the personal identity information input by the management personnel of the source of enterprise operation data. After the review is passed, generate a verification account and password according to the mobile phone number input by the management personnel of the source of enterprise operation data, and grant data import permission to the verification account. The management personnel of the source of enterprise operation data enter the personnel information verification port through the verification account and password.

[0015] It should be further noted that in the specific implementation process, each source of enterprise operation data is provided with a database for storing the enterprise operation data of the corresponding source of enterprise operation data. The database performs identification processing on the stored enterprise operation data. The specific process includes: Mark the enterprise operation data to be stored in the database and establish a temporary data storage area in the database. Import the enterprise operation data to be stored in the database into the temporary data storage area, classify the enterprise operation data, and generate category labels. Bind and associate the generated category labels with the corresponding enterprise operation data. It should be further noted that in the specific implementation process, the methods of classifying enterprise operation data include according to the generation time of enterprise operation data, the generation area of enterprise operation data, the generating department, etc. After the processing of the enterprise operation data in the temporary data storage area is completed, migrate the processed enterprise operation data to a specified location in the database for storage. It should be further noted that in the specific implementation process, each database corresponding to the enterprise operation data source is set with a unique and different identification sequence. When the enterprise operation data is moved to the designated position in the database, the identification sequence of the database is fitted with the enterprise operation data to generate new enterprise operation data, and the identification sequence is sent to the data verification unit; Set a cycle T. A data upload instruction is generated in each cycle T and sent to the management personnel of the enterprise operation data source. After the management personnel of the enterprise operation data source confirm the data upload instruction, the new enterprise operation data is uploaded to the data verification unit; The data verification unit analyzes the obtained enterprise operation data and obtains the identification sequence of the database therein. It checks whether the obtained database identification sequence is the same as any one of the identification sequences in the data verification unit. If they are the same, the enterprise operation data passes the verification; otherwise, it fails the verification, and the enterprise operation data is intercepted.

[0016] It should be further noted that in the specific implementation process, the process of establishing an enterprise development digital model based on the enterprise operation data in the enterprise operation information platform includes: Establish a number of enterprise operation time axes; it should be further noted that in the specific implementation process, time nodes can be generated on the enterprise operation time axis according to the enterprise operation data, and the time spans corresponding to each enterprise operation time axis are the same; Map the enterprise operation data from different enterprise operation data sources to the corresponding time nodes on the enterprise operation time axis according to their corresponding times, and number each time node, denoted as i, where i = 1, 2,..., n, and n is an integer; Obtain all products in the enterprise operation data corresponding to each time node, and number each product in the time node numbered i, denoted as j, where j = 1, 2,..., m, and m is an integer; Denote the cost input and net income of each product as TR ij and SY ij ; According to the obtained cost input and net income of each product, obtain the income weight ratio of each product within the time span of each enterprise operation time axis, denoted as SX j , where ; Obtain the income weight ratio of each product at each time node, and denote the income weight ratio of each product at each time node as SQ i , SQ i =SY ij / TR ij ; Generate a reference threshold line based on the revenue weight ratio of each product within the time span of each enterprise's operation timeline; generate a product revenue weight ratio change curve based on the revenue weight ratio of each product at each time node; Map the reference threshold line and the product revenue weight ratio change curve to the same coordinate system to obtain the product operation model diagram of each product within each enterprise's operation timeline; Summarize all the product operation model diagrams to obtain the enterprise development digital model.

[0017] It should be further noted that in the specific implementation process, after completing the construction of the enterprise development digital model, based on the obtained enterprise development digital model, predict the development of the enterprise within the corresponding time span of the next enterprise operation timeline. The specific process includes: Mark the product operation model diagram of each product, and mark the time nodes at which the product revenue weight ratio change curve exceeds the reference threshold line; That is, at the corresponding time node, the revenue level of this product is high; It should be further noted that in the specific implementation process, when there are multiple product revenue weight ratio change curves exceeding the reference threshold line at the same time node, mark all the corresponding products, and sort the products in descending order of the revenue weight ratio at this time node, indicating that the input cost of these products can be increased within the corresponding time span of the next enterprise operation timeline; Set the fluctuation coefficient a, and when the revenue weight ratio of the product at the time node is recorded as SQ i <SX j -a, it means that the revenue of this product at this time node is low, indicating that within the corresponding time span of the next enterprise operation timeline, the headline cost of this product can be reduced; When SX j -a≤SQ i ≤SX j , it means that the revenue of this product at this time node is balanced, and it can continue according to the existing input cost.

[0018] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for constructing a digital model for enterprise development planning, characterized in that, It includes the following steps: Step 1: Construct an enterprise operation information platform and regularly update enterprise operation data on the enterprise operation information platform; Step 2: Construct an enterprise development digital model based on the known enterprise operation data; Step 3: Predict the enterprise development according to the constructed enterprise development digital model.

2. A method for constructing a digital model for enterprise development planning according to claim 1, characterized in that, The construction process of the enterprise operation information platform includes: Construct a number of information link ports and link the information link ports with enterprise operation data sources of different dimensions; Set up information verification units at each information link port to manage the data import permissions of each enterprise operation data source through the information verification units; Set up a data verification unit to verify the enterprise operation data of each enterprise operation data source through the data verification unit.

3. A method for constructing a digital model for enterprise development planning according to claim 2, characterized in that, The process of managing the data import permissions of each enterprise operation data source includes: Set up a personnel information verification port to verify the identity information of the management personnel of the enterprise operation data source through the personnel information verification port. The specific process includes: The management personnel of the enterprise operation data source input their personal identity information through the personnel information verification port. It should be further noted that in the specific implementation process, the personal identity information includes name, gender, age, occupation and a real-name certified mobile phone number; Review the personal identity information input by the management personnel of the enterprise operation data source. After the review is passed, generate a verification account and password according to the mobile phone number input by the management personnel of the enterprise operation data source, and grant data import permission to the verification account.

4. A method for constructing a digital model for enterprise development planning according to claim 3, characterized in that, The enterprise operation data source is provided with a database for storing the enterprise operation data of the corresponding enterprise operation data source. The database performs identification processing on the stored enterprise operation data, including: Establish a temporary data storage area in the database, import the enterprise operation data to be stored in the database into the temporary data storage area, classify the enterprise operation data, generate category labels, and bind and associate the generated category labels with the corresponding enterprise operation data; Migrate the enterprise operation data to a specified location in the database for storage.

5. A method for constructing a digital model for enterprise development planning according to claim 4, characterized in that, Each database corresponding to the enterprise operation data source is provided with a unique and different identification sequence. When the enterprise operation data is moved to a specified location in the database, the identification sequence of the database is fitted with the enterprise operation data to generate new enterprise operation data, and the identification sequence is sent to the data verification unit; Set a period T, generate a data upload instruction in each period T, and send the data upload instruction to the management personnel of the enterprise operation data source. After the management personnel of the enterprise operation data source confirm the data upload instruction, upload the new enterprise operation data to the data verification unit; The data verification unit analyzes the obtained enterprise operation data and obtains the identification sequence of the database therein, and checks whether the obtained database identification sequence is the same as any one of the identification sequences in the data verification unit.

6. A method for constructing a digital model for enterprise development planning according to claim 5, characterized in that, The process of constructing an enterprise development digital model based on the enterprise operation data in the enterprise operation information platform includes: Establish a number of enterprise operation timelines, and generate time nodes on the enterprise operation timelines according to enterprise operation data; Map the enterprise operation data from different sources of enterprise operation data to the corresponding time nodes on the enterprise operation timeline according to their corresponding times; Obtain the cost input and net income of all products in the enterprise operation data corresponding to each time node; obtain the income weight ratio of each product within the time span of each enterprise operation timeline and the income weight ratio of each product at each time node, so as to obtain the reference threshold line and the product income weight ratio change curve, and map them into the same coordinate system, obtain the product operation model diagram of each product within each enterprise operation timeline, and summarize all the product operation model diagrams to obtain the enterprise development digital model.

7. A method for constructing a digital model for enterprise development planning according to claim 6, characterized in that, The process of predicting the development of an enterprise within the time span corresponding to the next enterprise operation timeline based on the obtained enterprise development digital model includes: Set the fluctuation coefficient, and judge the cost input trend of the product in the next enterprise operation cycle according to the obtained product operation model diagram of the product and the fluctuation coefficient.

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