CN118674240A - Enterprise resource optimization management system based on cloud computing - Google Patents

Abstract

The present invention discloses an enterprise resource optimization management system based on cloud computing, which relates to the field of enterprise resource management. The resource monitoring module collects the usage data of various resources of the enterprise in real time, including material resources, financial resources and human resources. The resource analysis module performs in-depth analysis on the collected data to explore the patterns and trends of resource usage. The strategy formulation module formulates a highly personalized and adaptable resource optimization strategy based on the results obtained by the resource analysis module and in combination with the business objectives, priority settings and other factors of the enterprise. The resource allocation module performs dynamic allocation of resources on the cloud computing platform according to the strategy, and the cloud platform interface ensures efficient interaction and collaborative work between the system and the cloud computing platform.

Description

Enterprise resource optimization management system based on cloud computing

Technical Field

The present invention relates to the field of enterprise resource management, and in particular to an enterprise resource optimization management system based on cloud computing.

Background Art

In today's digital age, enterprise resource optimization management is becoming a key means for enterprises to enhance their competitiveness. Behind it is a series of important background technologies. Big data technology itself is the cornerstone. The ability to store, process and analyze massive data enables enterprises to obtain and utilize large-scale information and tap into the hidden value. Distributed storage systems ensure reliable storage and fast access to data, while data processing frameworks can efficiently handle huge amounts of data.

Cloud computing technology provides a flexible and scalable platform for the processing and storage of big data. Enterprises can obtain computing and storage resources at any time according to business needs without large-scale hardware investment. In addition, data analysis and visualization technology enables complex data to be presented to decision makers in an intuitive and easy-to-understand form, helping them better understand the data content and make wise decisions.

However, the existing enterprise resource management system is unable to intelligently manage the inventory of raw materials. There are problems such as excessive inventory occupying a large amount of enterprise funds and storage space, and insufficient resources affecting production.

Summary of the invention

In order to solve the technical problems raised by the above background technology, the present invention is proposed. An embodiment of the present invention provides an enterprise resource optimization management system based on cloud computing.

The purpose of the present invention can be achieved through the following technical solutions: an enterprise resource optimization management system based on cloud computing, including a resource monitoring module, a resource analysis module and a resource allocation module; characterized in that:

The resource monitoring module is used to collect the usage data of various resources of the enterprise in real time, including material resources and financial resources;

The resource analysis module is used to analyze material resources. The specific analysis process is as follows:

Obtain the daily inventory of raw materials within a preset time range, sort the values of the daily inventory of raw materials according to the chronological order, compare the sizes of two adjacent inventory quantities and calculate the difference between the two, if the previous inventory quantity is greater than the subsequent inventory quantity, mark the difference between the two as inventory depreciation; if the previous inventory quantity is less than the subsequent inventory quantity, mark the difference between the two as inventory appreciation; sum up all inventory depreciations to obtain the total inventory depreciation value, sum up all inventory appreciations to obtain the total inventory appreciation value, substitute the total inventory depreciation value and the total inventory appreciation value into the preset inventory score model to obtain the inventory score of the raw material, compare the inventory score of the raw material with the set standard inventory quantity, if the inventory score of the raw material is greater than the standard inventory quantity, generate an excess inventory instruction corresponding to the raw material; if the inventory score of the raw material is less than the standard inventory quantity, generate an insufficient inventory instruction corresponding to the raw material; send the excess inventory instruction or insufficient inventory instruction corresponding to the raw material to the corresponding enterprise management terminal for display;

The resource allocation module performs dynamic allocation of resources on the cloud computing platform according to the strategy.

As a preferred method of the present invention, the specific process of executing dynamic allocation of resources is as follows:

For raw materials that generate insufficient inventory instructions, the raw materials will be allocated according to four levels, namely strategic raw materials, key raw materials, important auxiliary raw materials and general raw materials; if the raw materials that generate insufficient inventory instructions are strategic raw materials, 30% of the raw material resources will be allocated; if the raw materials that generate insufficient inventory instructions are key raw materials, 40% of the raw material resources will be allocated; if the raw materials that generate insufficient inventory instructions are important auxiliary raw materials, 20% of the raw material resources will be allocated; if the raw materials that generate insufficient inventory instructions are general raw materials, 10% of the raw material resources will be allocated.

As a preferred embodiment of the present invention, the preset library classification model is:

, where KJ is the total value of inventory decrease, KS is the total value of inventory increase, Aij is the daily inventory of raw materials, i represents the number of the raw material, j represents the number of the inventory sequence, j=1, 2,…, n, n represents the total inventory, KCi is the inventory score of the raw material, Ain is the inventory of the raw material at the current time, μ1, μ2, μ3 and μ4 are all preset weight coefficients.

As a preferred embodiment of the present invention, the resource analysis module is also used to analyze financial resources, specifically: by obtaining the capital flow in the total time period, the capital flow in the total time period is divided into capital flows in several time zones, the inflow value or outflow value of the capital flow in each time zone is collected, the inflow value of the capital flow is added to obtain the total inflow value of the capital flow, and then the outflow value of the capital flow is added to obtain the total value of the capital outflow; the total inflow value and the total outflow value are then calculated for variance to obtain the amount difference. If the amount difference is a negative number, it indicates that the company's income in the total time period is negative. If the amount difference is a positive number, it indicates that the company's income in the total time period is negative; if the amount difference is a positive number, it indicates that the company's income in the total time period is positive; the adjacent amounts in the total time period are calculated to obtain the fluctuation value of the capital flow; a threshold value is set for the outflow amount, and a signal is sent to the management mobile phone terminal for the outflow of funds that exceeds the threshold, and it can be used only after approval.

As a preferred embodiment of the present invention, it also includes a strategy formulation module, which is used to formulate a resource optimization strategy, specifically: allocating the amount by obtaining the inflow and outflow values of the capital flow, and classifying and identifying the capital flow according to different business types, projects and departments; when the business demand or usage changes, the funds are divided into five levels and the capital investment is increased in the corresponding projects; the five levels are special priority, first priority, second priority, third priority and fourth priority; the special priority corresponds to an increase of 15% of funds, and the first priority, second priority, third priority and fourth priority correspond to an increase of 25%, 30%, 20% and 10% of funds respectively.

Compared with the prior art, the present invention has the following beneficial effects:

The resource analysis module of the present invention conducts in-depth analysis on the collected data to explore the patterns and trends of resource use. By analyzing the inventory, the reserve level of various raw materials can be clarified, so that the inventory can be processed in time; avoid excessive inventory occupying a large amount of enterprise funds and storage space, reduce the purchase volume to digest redundant inventory, and a reasonable inventory can reduce storage space and additional costs caused by out-of-stock.

The resource allocation module of the present invention performs dynamic allocation of resources on the cloud computing platform according to the strategy. For raw materials that generate insufficient inventory instructions, the raw materials are differentiated and allocated according to four levels. Strategic raw materials are scarce and have a decisive impact on the core products or key technologies of the enterprise. 30% of the raw material resources are allocated. Priority is given to ensuring stable supply, establishing strategic reserves, and establishing close cooperative relationships with high-quality suppliers. Key raw materials are important raw materials that are indispensable in production and directly affect product quality and production efficiency. 40% of the raw material resources are allocated. Important auxiliary raw materials have a certain auxiliary effect on production, but relatively not so critical. 20% of the raw material resources are allocated. General raw materials include some non-critical and highly substitutable raw materials, such as raw materials for ordinary office supplies, etc., and 10% of the raw material resources are allocated. A more flexible procurement method can be adopted to purchase on demand to reduce inventory backlogs.

The present invention allocates the amount by obtaining the inflow and outflow values of the capital flow, classifies and identifies the capital flow according to different business types, projects and departments, and clearly understands the specific flow and use of the funds. When business needs or usage changes, the funds are divided into five levels and the corresponding projects increase capital investment to improve performance or cope with sudden traffic. The five-level hierarchical allocation is specifically that 15% of the funds of the special priority are used for absolutely critical and unavoidable projects, such as major business transformation projects related to the survival of the enterprise. 25% of the funds of the first priority are invested in projects with significant influence and can quickly improve the competitiveness of the enterprise, such as important product research and development, and 30% of the funds of the second priority are arranged for more important projects that have a greater role in promoting the business, such as important marketing activities. 20% of the funds of the third priority are used for routine projects that maintain business stability, such as equipment maintenance and upgrading. 10% of the funds of the fourth priority are allocated to some marginal and experimental projects or activities. The allocation of funds is also adjusted according to the strategy. When funds are insufficient, funds are allocated from other projects or departments, or the amount of funds invested is reasonably increased or reduced according to the budget situation.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present invention.

FIG1 is a block diagram of the principle of the present invention.

DETAILED DESCRIPTION

The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

Please refer to FIG. 1 , the present invention is an enterprise resource optimization management system based on cloud computing, including a resource monitoring module, a resource analysis module, a strategy formulation module, a resource allocation module and a cloud platform interface.

The resource monitoring module collects the usage data of various types of enterprise resources in real time, including material resources, financial resources, human resources and other data. Material resources are collected through the resource monitoring module, including the quantity, quality, and storage location information of raw materials and finished products. The inventory and purchase batches of various types of raw materials are recorded, and the collected information of finished products includes quantity, specifications, storage location, etc., which is convenient for enterprises to carry out inventory management and sales arrangements. When the collected data shows that the inventory of a certain raw material is below the safety warning line, the system can automatically issue an early warning to remind relevant departments to purchase in time. Or when a certain equipment is found to malfunction frequently, targeted repairs can be carried out or replacement can be considered to ensure the continuity of production.

The resource monitoring module monitors the flow of corporate funds and obtains the flow of corporate funds in real time, including the income and expenditure of each fund, the specific source and destination. The data collection of financial status includes key data such as the company's asset-liability ratio, profit margin, and debt-paying ability indicators. This helps companies to timely assess their financial health in order to make reasonable financial decisions. When the company's capital outflow is abnormally increased, it may indicate that there are cost control problems or unreasonable use of funds for a project. The company can conduct timely investigations and adjustments. Or when the capital structure is found to be unreasonable, the company can consider optimizing the equity structure or looking for new financing channels. Through continuous monitoring of financial status data, companies can adjust their business strategies in a timely manner according to changes in profitability to maintain good financial performance. Such a resource monitoring module provides real-time and accurate data support for the company's financial management, ensuring the effective management and rational use of the company's financial resources.

The resource monitoring module monitors the working status of human resources, and the high-definition camera can obtain the real-time working mode of employees, such as whether they are busy, what tasks they are processing, and working hours. The data is collected very frequently and updated every very short time interval, thus ensuring real-time and nearly continuous control of resource status.

The resource analysis module conducts in-depth analysis of the collected data to explore resource usage patterns and trends. By analyzing the inventory, the reserve levels of various raw materials can be clarified. Specifically, obtain the daily inventory of raw materials within the preset time range, which can be 1 month or 2 months or other custom time periods; sort the values of the daily inventory of raw materials in chronological order and mark them as Aij in sequence; where i represents the number of the raw material; j represents the number of the inventory sequence, j=1, 2,..., n; n represents the total number of inventories; compare the size of two adjacent inventory quantities and calculate the difference between the two. If the previous inventory is greater than the next inventory, mark the difference between the two as inventory depreciation; if the previous inventory is less than the next inventory, mark the difference between the two as inventory appreciation; sum up all inventory depreciations to obtain the total inventory depreciation value KJ, and sum up all inventory appreciations to obtain the total inventory appreciation value KS; substitute the total inventory depreciation value and the total inventory appreciation value into the preset inventory distribution model Get the inventory score KCi of the raw material; where KYi is the preset inventory of the raw material, Ain is the inventory of the raw material at the current time, and μ1, μ2, μ3 and μ4 are all preset weight coefficients.

Extract the inventory range of each type of raw materials set in the database and record it as the standard inventory. Compare the stock score of the raw materials with the set standard inventory. If the stock score of the raw materials is greater than the standard inventory, it means that the inventory is in excess, and the corresponding excess inventory instruction of the raw materials is generated. On the contrary, it means that the inventory is insufficient, and the corresponding insufficient inventory instruction of the raw materials is generated, which may indicate that there is an imminent risk of out-of-stock, affecting the production progress. Send the corresponding excess inventory instruction or insufficient inventory instruction of the raw materials to the corresponding enterprise management terminal for display, so as to facilitate timely processing of the inventory; avoid excessive inventory occupying a large amount of funds and storage space of the enterprise, reduce the purchase volume to digest the redundant inventory, and a reasonable inventory volume can reduce the storage space and the additional cost caused by out-of-stock. Purchase batch analysis can trace the source and quality stability of raw materials. If a batch of raw materials has problems during use, the corresponding raw materials are monitored through the purchase batch record, and all raw materials of the batch are monitored at the same time. Negotiate more favorable procurement conditions and delivery time based on batch information. When it is found that the inventory of a certain key raw material continues to decline and the purchase cycle is long, the enterprise may need to increase the purchase volume in advance or find alternative suppliers.

By obtaining the capital flow in the total time period, the capital flow in the total time period is divided into capital flows in several time zones, and the inflow value or outflow value of the capital flow in each time zone is collected. The inflow values of the capital flow are added to obtain the total inflow value of the capital flow, and then the outflow values of the capital flow are added to obtain the total outflow value of the capital flow. The variance of the total inflow value and the total outflow value is then calculated to obtain the amount difference. If the amount difference is a negative number, it means that the company's income in the total time period is negative. If the amount difference is a positive number, it means that the company's income in the total time period is negative. Calculate the adjacent amounts in the total time period to obtain the fluctuation value of the capital flow. Set a threshold for the outflow amount, and send a signal to the management mobile terminal for the outflow that exceeds the threshold. It can be used only after approval.

The real-time working mode is extracted, and the staff is monitored by a high-definition camera. If the status at a certain monitoring time point is working status, the monitoring time point is recorded as the working time point; if the status at a certain monitoring time point is resting status, the monitoring time point is recorded as the resting time point; based on the working time points and rest time points of the staff in the current monitoring period, the working time and rest time of the staff corresponding to the current monitoring period are obtained; the working time and rest time of the staff corresponding to the current monitoring period are compared with each other. If the working time of the staff corresponding to the current monitoring period is greater than the corresponding rest time, then the other status of the staff corresponding to the current monitoring period is determined to be the working status; if the working time of the staff corresponding to the current monitoring period is less than the corresponding rest time, then the other status of the staff corresponding to the current monitoring period is determined to be the resting status.

Then, by identifying the working status of each staff member corresponding to the current monitoring period, the corresponding working hours and rest time of the day are obtained, the working hours and rest time of the previous monitoring periods are extracted, the total working hours and total rest time of each staff member are obtained, and the set prescribed working hours are extracted from the database. The total working hours are compared with the prescribed working hours. If the total working hours are greater than the prescribed working hours, it is marked as overtime hours, otherwise it is marked as abnormal working hours.

The strategy formulation module combines the business objectives, priority setting and other factors of the enterprise to formulate a highly personalized and adaptable resource optimization strategy. Specifically: the amount is allocated by obtaining the inflow and outflow values of the capital flow, and the capital flow is classified and identified according to different business types, projects and departments, so as to clearly understand the specific flow and use of the funds. When business needs or usage changes, the funds are divided into five levels and the corresponding projects are increased to improve performance or cope with sudden traffic. The five-level hierarchical allocation is specifically that 15% of the funds of the special priority level are used for absolutely critical and unavoidable projects, such as major business transformation projects related to the survival of the enterprise. 25% of the funds of the first priority level are invested in projects with significant influence and can quickly enhance the competitiveness of the enterprise, such as important product research and development. 30% of the funds of the second priority level are allocated to relatively important projects that have a greater role in promoting the business, such as important marketing activities. 20% of the funds of the third priority level are used for routine projects that maintain business stability, such as equipment maintenance and upgrades. 10% of the funds of the fourth priority level are allocated to some marginal and experimental projects or activities. The allocation of funds is also adjusted according to the strategy. When funds are insufficient, funds can be allocated from other projects or departments, or the amount of funding can be reasonably increased or decreased based on the budget situation.

The resource allocation module performs dynamic allocation of resources on the cloud computing platform according to the strategy. For raw materials that generate insufficient inventory instructions, the raw materials are allocated according to four levels. Strategic raw materials are scarce and have a decisive impact on the core products or key technologies of the enterprise. 30% of the raw material resources are allocated. Priority is given to ensuring stable supply, establishing strategic reserves, and establishing close cooperation with high-quality suppliers. Key raw materials are important raw materials that are indispensable in production and directly affect product quality and production efficiency. 40% of raw material resources are allocated. Important auxiliary raw materials have a certain auxiliary effect on production, but are relatively not so critical. 20% of raw material resources are allocated. General raw materials include some non-critical and highly substitutable raw materials, such as raw materials for ordinary office supplies, etc., and 10% of raw material resources are allocated. A more flexible procurement method can be adopted to purchase on demand to reduce inventory backlogs.

Regarding human resources, when a specific project requires more human support, the resource allocation module will mobilize appropriate personnel according to the strategy. Specifically, manpower will be drawn from other projects, supplemented according to the working hours of the corresponding staff, and staff with insufficient total working hours will be deployed. At the same time, the distribution of human resources will be reasonably adjusted according to the reduction in business volume to avoid waste of manpower.

The cloud platform interface ensures efficient interaction and collaboration between the system and the cloud computing platform. Through the cloud platform module, enterprises can achieve real-time monitoring and precise optimization of resources, dynamically adjust resource allocation according to business needs and changes, and improve resource utilization and enterprise operation efficiency.

The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims (5)

1. An enterprise resource optimization management system based on cloud computing, comprising a resource monitoring module, a resource analysis module and a resource allocation module; characterized in that: The resource monitoring module is used to collect the usage data of various resources of the enterprise in real time, including material resources and financial resources; The resource analysis module is used to analyze material resources. The specific analysis process is as follows: Obtain the daily inventory of raw materials within a preset time range, sort the values of the daily inventory of raw materials according to the chronological order, compare the sizes of two adjacent inventory quantities and calculate the difference between the two, if the previous inventory quantity is greater than the subsequent inventory quantity, mark the difference between the two as inventory depreciation; if the previous inventory quantity is less than the subsequent inventory quantity, mark the difference between the two as inventory appreciation; sum up all inventory depreciations to obtain the total inventory depreciation value, sum up all inventory appreciations to obtain the total inventory appreciation value, substitute the total inventory depreciation value and the total inventory appreciation value into the preset inventory score model to obtain the inventory score of the raw material, compare the inventory score of the raw material with the set standard inventory quantity, if the inventory score of the raw material is greater than the standard inventory quantity, generate an excess inventory instruction corresponding to the raw material; if the inventory score of the raw material is less than the standard inventory quantity, generate an insufficient inventory instruction corresponding to the raw material; send the excess inventory instruction or insufficient inventory instruction corresponding to the raw material to the corresponding enterprise management terminal for display; The resource allocation module performs dynamic allocation of resources on the cloud computing platform according to the strategy. 2. According to the cloud computing-based enterprise resource optimization management system of claim 1, the specific process of executing dynamic allocation of resources is: For raw materials that generate insufficient inventory instructions, the raw materials will be allocated according to four levels, namely strategic raw materials, key raw materials, important auxiliary raw materials and general raw materials; if the raw materials that generate insufficient inventory instructions are strategic raw materials, 30% of the raw material resources will be allocated; if the raw materials that generate insufficient inventory instructions are key raw materials, 40% of the raw material resources will be allocated; if the raw materials that generate insufficient inventory instructions are important auxiliary raw materials, 20% of the raw material resources will be allocated; if the raw materials that generate insufficient inventory instructions are general raw materials, 10% of the raw material resources will be allocated. 3. According to the cloud computing-based enterprise resource optimization management system of claim 1, it is characterized in that the preset library division model is: , where KJ is the total value of inventory decrease, KS is the total value of inventory increase, Aij is the daily inventory of raw materials, i represents the number of the raw material, j represents the number of the inventory sequence, j=1, 2,…, n, n represents the total inventory, KCi is the inventory score of the raw material, Ain is the inventory of the raw material at the current time, μ1, μ2, μ3 and μ4 are all preset weight coefficients. 4. According to claim 1, a cloud computing-based enterprise resource optimization management system is characterized in that the resource analysis module is also used to analyze financial resources, specifically: by obtaining the capital flow in the total time period, the capital flow in the total time period is divided into capital flows in several time zones, the inflow value or outflow value of the capital flow in each time zone is collected, the inflow values of the capital flow are added to obtain the total inflow value of the capital flow, and then the outflow values of the capital flow are added to obtain the total outflow value of the capital; the total inflow value and the total outflow value are calculated for variance to obtain the amount difference, if the amount difference is a negative number, it means that the company's income in the total time period is negative, if the amount difference is a positive number, it means that the company's income in the total time period is negative; the adjacent amounts in the total time period are calculated to obtain the fluctuation value of the capital flow; a threshold value is set for the outflow amount, and a signal is sent to the management mobile phone terminal for the outflow of funds that exceeds the threshold, and it can be used only after approval. 5. According to claim 4, a cloud computing-based enterprise resource optimization management system is characterized in that it also includes a strategy formulation module, which is used to formulate resource optimization strategies, specifically: allocating the amount by obtaining the inflow and outflow values of the capital flow, and classifying and identifying the capital flow according to different business types, projects and departments; when business needs or usage changes, the funds are divided into five levels and the corresponding projects increase capital investment; the five levels are special priority, first priority, second priority, third priority and fourth priority; special priority corresponds to an increase of 15% of funds, and first priority, second priority, third priority and fourth priority correspond to an increase of 25%, 30%, 20% and 10% of funds respectively.