CN116029522B - E-business ERP information optimization system - Google Patents
E-business ERP information optimization system Download PDFInfo
- Publication number
- CN116029522B CN116029522B CN202310080027.5A CN202310080027A CN116029522B CN 116029522 B CN116029522 B CN 116029522B CN 202310080027 A CN202310080027 A CN 202310080027A CN 116029522 B CN116029522 B CN 116029522B
- Authority
- CN
- China
- Prior art keywords
- subsystem
- data
- management
- analysis
- state
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000005457 optimization Methods 0.000 title claims abstract description 9
- 238000004458 analytical method Methods 0.000 claims abstract description 196
- 238000011156 evaluation Methods 0.000 claims abstract description 73
- 238000000034 method Methods 0.000 claims abstract description 70
- 230000008569 process Effects 0.000 claims abstract description 66
- 230000003993 interaction Effects 0.000 claims abstract description 35
- 238000006243 chemical reaction Methods 0.000 claims abstract description 26
- 230000008859 change Effects 0.000 claims abstract description 24
- 238000003860 storage Methods 0.000 claims abstract description 21
- 238000004519 manufacturing process Methods 0.000 claims description 13
- 238000007405 data analysis Methods 0.000 claims description 11
- 239000013598 vector Substances 0.000 claims description 11
- 239000011159 matrix material Substances 0.000 claims description 10
- 230000010354 integration Effects 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 5
- 238000009826 distribution Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000035484 reaction time Effects 0.000 claims description 3
- 238000011160 research Methods 0.000 claims description 3
- 238000013433 optimization analysis Methods 0.000 claims description 2
- 238000013480 data collection Methods 0.000 claims 3
- 238000011161 development Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000010365 information processing Effects 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 238000004891 communication Methods 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000004904 shortening Methods 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an e-commerce ERP information optimization system which comprises a data acquisition module, a cloud storage module, a management subsystem, a subsystem evaluation module, a state analysis module, a conversion analysis module and a decision analysis module, wherein the data acquisition module acquires enterprise operation data which are generated differently in the enterprise operation process and stores the enterprise operation data in the cloud storage module, the subsystem evaluation module firstly analyzes information interaction processes among different subsystems to obtain state data representing information generation states in the e-commerce ERP information management process, the state analysis module then analyzes states at different moments according to the state data and the state analysis results of the change rule of each management coefficient of a front system and a rear system which change along with time by utilizing an established partial differential equation, and finally the decision analysis module performs decision analysis, so that the accuracy of analysis decisions is greatly improved by optimizing and analyzing the information.
Description
Technical Field
The invention relates to the technical field of electronic commerce information management, in particular to an electronic commerce ERP information optimization system.
Background
Enterprise resource management (EnterpriseResourcePlanning, ERP) is an important mode in enterprise management, and is mainly used for comprehensively balancing and optimally managing comprehensive resources such as people, wealth, things, information, time, space and the like owned by an enterprise; the electronic commerce is a direct product of internet explosive development and is a brand new development direction of network technology application, so that an ERP management system of an electronic commerce company can generate more electronic commerce data, the electronic commerce ERP analyzes a system with high integration of management work applications of customers, projects, stock, purchase, supply and production in the whole company coverage area, the system management function of the ERP software in the prior art is perfected, but the data generated by an electronic commerce is multiplied by the huge data volume generated on different platforms along with the activities of the electronic commerce, particularly when shopping sections such as twenty-one and 618 come, the data information management capability of the ERP management system of the electronic commerce is fixed, the information processing capability of the ERP system can change along with huge data generated at different moments, management efficiency of management staff on different platforms through the ERP software system can also be influenced, and in order to improve the effective optimization processing of the generated data information of the ERP software management system, and the method for effectively analyzing the data provides a better means for the management staff to optimize the electronic commerce information.
Disclosure of Invention
Aiming at the situation, in order to overcome the defects of the prior art, the invention aims to provide the e-commerce ERP information optimizing system, a subsystem evaluation module obtains state data representing basic function variables of the subsystem through analysis and evaluation of processes between subsystems completing different functions, a state analysis module analyzes different management states changing along with time by using the state data to obtain state analysis results at different moments, a decision analysis module performs different management decision analysis by combining the state analysis results, and data information is optimized through data analysis, so that the analysis decision capability and analysis accuracy of the ERP management system are greatly improved.
The technical scheme includes that the electronic commerce ERP information optimizing system comprises a data acquisition module, a cloud storage module, a management subsystem, a subsystem evaluation module, a state analysis module, a conversion analysis module and a decision analysis module, wherein the data acquisition module acquires enterprise operation data of subsystems which are generated in the enterprise operation process by using a mobile terminal, sends the acquired enterprise operation data to the cloud storage module for storage, different modules in ERP software optimize information and analyze data, the subsystems comprise a sales subsystem, a logistics subsystem, a purchasing subsystem, a production subsystem, a financial subsystem and a personnel management subsystem, the subsystem evaluation module evaluates the processes of the subsystems when the subsystems finish different functions to obtain state data, and the state analysis module analyzes the state data at different moments, and the system management process is specifically as follows:
(1) In the process of managing enterprise resources by ERP software, different subsystems are responsible for the management of different enterprise operation processes, the ERP software comprises a sales subsystem, a logistics subsystem, a purchasing subsystem, a production subsystem, a financial subsystem and a management subsystem, different subsystems complete different function management, a subsystem evaluation module analyzes the process of completing subsystem information interaction in different functions through the analysis and evaluation of each subsystem to obtain state data, and the specific analysis process is as follows:
step one, different subsystems finish different function management, the process related to information interaction in the completion process is recorded as a management node, the management nodes of the different subsystems for realizing different functions are different, and a subsystem evaluation system marks all the different subsystems in the system as S i ，i∈[1，N]N represents the number of subsystems, and the management node of the subsystem is marked as S ij ，j∈[1，M i ]，M N The number of management nodes of the i subsystem is represented;
analyzing the number of management nodes for information interaction between different subsystems of the subsystem, the exchanged information quantity and the information exchange frequency, calculating correlation coefficients between different management nodes, selecting corresponding related management nodes according to the correlation coefficients, and forming two management nodes into a node pair;
step three, the subsystem evaluation module evaluates and analyzes the information interaction process formed by all node pairs in the system under different time conditions, the node pairs used for the node pairs at different time are different, the node pairs for initial information exchange are input in different unit time periods, the node pairs for information exchange change along with the time, the subsystem evaluation module numbers the node pairs at different time, the node pairs are used as characteristic points, and a characteristic set V is obtained according to the characteristic points;
step four, the subsystem evaluation module constructs a vector according to the data information of the node pairs, and the vector records the characteristics of each node pair for information exchange, including the exchanged information quantity and the exchange time;
step five, clustering analysis is carried out by taking the corresponding feature set when all nodes change in the management process of all subsystems as a research object, and a feature matrix of node pair change is obtained according to vectors;
step six, the subsystem evaluation module evaluates the node pairs under different moments of the fuzzy mathematical analysis model, determines an evaluation index and a fuzzy comprehensive evaluation matrix according to the feature matrix obtained by the node pair analysis, obtains a corresponding evaluation score through calculation evaluation, evaluates the integral nodes of the subsystem to obtain state data of the subsystem, and sends the state data to the state analysis module;
(2) The state analysis module establishes a state function according to the state data of all subsystems in the system of the e-commerce ERP software, analyzes the change decision-making reaction capacity of the management state at different moments according to the state function, performs state analysis on the overall management state of the system to obtain a state analysis result, and sends the state analysis result to the conversion analysis module;
(3) The conversion analysis module performs information conversion according to the management instruction of the management subsystem and sends the conversion analysis result to the decision analysis module;
(4) The decision analysis module optimizes the data information according to the state analysis result and the conversion analysis result, makes an information decision through the data analysis to obtain a decision analysis result, and the management subsystem integrates system resources by combining the decision analysis result.
The state analysis module is used for carrying out state analysis on the management state by combining the evaluation analysis result of the subsystem evaluation module to obtain a state analysis result, the information interaction carried out in the ERP system and the management state of the subsystem can be changed along with the time t, when a large amount of data is generated in the operation process of an electronic commerce, the state of the information interaction and the data processing capability of the ERP system can be changed, the data generated along with the change of time and the system management reaction time are also changed, the adjustment amplitude of the time t and different subsystems is taken as independent variables, and a partial differential equation is established to analyze the variables of different states, and the equation is as follows:
where F is a variation function, f=f (X, τ), x=x i ，i∈i∈[1，N]For the adjustment amplitude of each subsystem, τ is an information interaction coefficient obtained through an evaluation result of the subsystem evaluation system, a change function is determined according to the adjustment amplitude and the information interaction coefficient, u is a state function changing along with time, u=f (t, S), f is an expression sign of the state function, and S is a transaction function of the e-commerce platform in a corresponding time period;
σ is the trade fluctuation constant in the corresponding time period, r is the trade error interest rate, and h is the number of e-commerce platforms, S is a transaction function corresponding to time, and W is fluctuation variation as the transaction frequency v is changed.
The decision analysis module performs decision analysis on enterprise operation data in the ERP system by combining different state analysis results, the decision analysis module performs data analysis on the enterprise operation data by utilizing a decision analysis algorithm, initial analysis is performed on the enterprise operation data, decision analysis is performed on the initial analysis result after the initial analysis and the state analysis result of the ERP system to obtain a decision analysis result, the decision analysis module sends the decision analysis result to the management subsystem, the management subsystem integrates internal resources of the enterprise according to the decision analysis result, and data distribution is performed on a time period for generating huge enterprise operation data according to the analyzed state.
Due to the adoption of the technical scheme, compared with the prior art, the invention has the following advantages;
1. the subsystem evaluation module of the system obtains state data by carrying out data analysis on information interaction processes carried out on subsystems completing different functions, in the process that an enterprise manager utilizes ERP software to manage an electronic commerce enterprise, the data volume of enterprise operation data generated by the enterprise at different moments is different, the processes of carrying out information interaction on different subsystems completing different, the data volume and the frequency of carrying out information interaction are different, firstly, the subsystem evaluation module numbers management nodes of different subsystems, carries out correlation analysis on the management nodes to obtain corresponding node pairs carrying out information interaction, then carries out analysis on feature sets carrying out information interaction on all nodes at different change moments to construct corresponding vectors, and finally carries out evaluation analysis on different management nodes in the subsystem by combining the feature matrices through fuzzy evaluation analysis model to obtain state data, and the subsystem evaluation module carries out analysis on information interaction processes under different moments through analysis on information interaction processes between different subsystems, so that the monitoring and the ERP of the electronic system are improved, the accuracy of information island is greatly improved, and the accuracy of information analysis is reduced.
2. The state analysis module performs state analysis of system management according to the state data of the subsystem evaluation module and the enterprise operation data, information interaction occurring at different moments and the subsystem generating the enterprise operation data are different along with the time, the state analysis module analyzes the management state of the system changing along with the time by using the established partial differential equation, the state analysis process comprises fluctuation analysis and change function analysis of management decision-making caused by transactions on an e-commerce platform, the e-commerce operation system is monitored by the decision analysis module according to the state analysis results in different states, then decision analysis is performed by the decision analysis module, and the accuracy of analysis decision of the decision analysis module is improved by the dynamic analysis of the data analysis process by the subsystem evaluation module and the state analysis module.
Drawings
FIG. 1 is an overall block diagram of the present system;
FIG. 2 is a flow chart of the overall analysis and calculation of the present system;
FIG. 3 is an analysis flow chart of a subsystem evaluation module of the present system.
Detailed Description
The foregoing and other features, aspects and advantages of the present invention will become more apparent from the following detailed description of the embodiments with reference to the accompanying drawings, 1-3. The following embodiments are described in detail with reference to the drawings.
With the continuous development of information science and technology, the process of enterprise resource management is more and more perfect, enterprise managers integrate non-resources in enterprises by utilizing the powerful functions of ERP software, with the continuous development of electronic commerce, the requirements on the integration and management dynamics of the resources in the enterprises are continuously increased, and the e-commerce ERP integrates logistics and fund flow modules in traditional ERP, such as purchasing, production, sales and the like, with the modules in electronic commerce, such as online purchasing, online sales and the like, and takes electronic and electronic technology as means and business as a core, breaks the boundary between countries and regions, so that the enterprise changes from the traditional emphasis on the internal resource management utilization to the external resource management utilization, and changes from the business integration in the enterprise to the business collaboration among the enterprises; the electronic commerce ERP has the functional characteristics that: 1. the method is not limited by a platform, namely, the multi-platform operation in the true sense is realized; 2. the various application integration, namely, around a core enterprise, integrating enterprise information flow, logistics, fund flow and the like through application modules such as electronic commerce, purchase, sale and storage supply chains and the like, and connecting suppliers, manufacturers, distributors and retailers until end users into an integral functional network chain structure mode; 3. the data is highly integrated, namely, the data entering the system is converted, integrated and then transmitted to the relevant functional modules, so that the high sharing of the data and the high integration of the system are achieved; 4. the system is highly modularized, namely, free increase, decrease and configuration of the system are realized; 5. e-commerce, namely shortening the time for transmitting purchasing information from downstream to upstream on a supply chain, so that the value of the supply chain is increased in a shorter time; compared with the traditional ERP, the electronic commerce ERP management system has the advantages that the degree of data information collection of the electronic commerce ERP is higher, so that the management efficiency is also required to be higher, the generated data amount is larger particularly when various electronic commerce nodes are encountered, the efficiency required by the management system is higher, when the speed of the generated data information is increased, the state of each information processing module is also changed, the information processing process is optimized, the electronic commerce ERP information optimization system is provided, the electronic commerce ERP information optimization system comprises a data acquisition module, a cloud storage module, a management subsystem, a subsystem evaluation module, a state analysis module, a conversion analysis module and a decision analysis module, the data acquisition module acquires enterprise operation data of subsystems which are generated differently in the enterprise operation process by utilizing a mobile terminal, the acquired enterprise data are transmitted to a cloud storage module for storage, the different modules in ERP software perform information optimization and data analysis on the data information, the subsystem comprises a sales subsystem, a logistics subsystem, a purchasing subsystem and a production subsystem, and a management subsystem, and the state analysis module is used for completing the state analysis of the subsystem when the state of the data is different from the management subsystem, and the state analysis module is different from the state analysis module is used for completing the state analysis of the data process of the data processing process of the subsystem, and the state analysis module is different from the state evaluation module of the data process of the management process is provided. The enterprise manager makes analysis decisions through methods such as consumer feature analysis, commodity feature analysis, management capability analysis, service capability evaluation of different-scale electronic commerce platforms and the like, so that enterprises, organizations and consumers can smoothly conduct transactions, distribution and payment by utilizing a digital communication channel;
(1) In the process of ERP software management, different management subsystems carry out enterprise operation management of different types, for example, a material purchasing sub-module required by a production subsystem in the production process carries out purchasing, the purchasing sub-module collects and manages materials used in the production process, and the process of collecting the materials comprises the following steps: ordering, logistics information, goods tracking, receiving, quality inspection, returning and exchanging goods, wherein the sales subsystem is tightly connected with the logistics subsystem, the financial subsystem is responsible for managing all finances, the management processes of different subsystems when realizing different functions are different, but the different management processes are connected with each other, when a large amount of data is generated, the update of the data information realized between the subsystems is critical to the management decision process,
in the process of managing enterprise resources by ERP software, different subsystems are responsible for the management of different enterprise operation processes, the ERP software comprises a sales subsystem, a logistics subsystem, a purchasing subsystem, a production subsystem, a financial subsystem and a management subsystem, different subsystems complete different functional management, a subsystem evaluation module analyzes the process of completing subsystem information interaction in different functions through the analysis and evaluation of each subsystem to obtain state data, and the subsystems comprise a user management subsystem and a report management subsystem, wherein the specific analysis process is as follows:
step one, different subsystems finish different function management, the process related to information interaction in the completion process is recorded as a management node, and the different subsystems realize management of different functionsThe nodes are different, and the subsystem evaluation system marks all different subsystems in the system and is marked as S i ，i∈[1，N]N represents the number of subsystems, and the management node of the subsystem is marked as S ij ，j∈[1，M i ]，M N The number of management nodes of the i subsystem is represented;
analyzing the number of management nodes for information interaction between different subsystems of the subsystem, the exchanged information quantity and the information exchange frequency, calculating correlation coefficients between different management nodes, selecting corresponding related management nodes according to the correlation coefficients, and forming two management nodes into a node pair;
step three, the subsystem evaluation module evaluates and analyzes the information interaction process formed by all node pairs in the system under different time conditions, the node pairs used for the node pairs at different time are different, the node pairs for initial information exchange are input in different unit time periods, the node pairs for information exchange change along with the time, the subsystem evaluation module numbers the node pairs at different time, the node pairs are used as characteristic points, and a characteristic set V is obtained according to the characteristic points;
step four, the subsystem evaluation module constructs a vector according to the data information of the node pairs, and the vector records the characteristics of each node pair for information exchange, including the exchanged information quantity and the exchange time;
step five, clustering analysis is carried out by taking the corresponding feature set when all nodes change in the management process of all subsystems as a research object, and a feature matrix of node pair change is obtained according to vectors;
step six, the subsystem evaluation module evaluates the node pairs under different moments by using a fuzzy mathematical analysis model, the fuzzy mathematical analysis model firstly establishes an evaluation set by using the characteristics of each management node, then obtains a fuzzy comprehensive evaluation matrix by analyzing the evaluation set, determines an evaluation index and the fuzzy comprehensive evaluation matrix according to the characteristic matrix obtained by the analysis of the management node pairs, obtains a corresponding evaluation score by calculating and evaluating, evaluates the integral nodes of the subsystem to obtain the state data of the subsystem, and sends the state data to the state analysis module;
(2) The state analysis module establishes a state function according to the state data of all subsystems in the system of the e-commerce ERP software, analyzes the change decision-making reaction capacity of the management state at different moments according to the state function, performs state analysis on the overall management state of the system to obtain a state analysis result, and sends the state analysis result to the conversion analysis module;
(3) The conversion analysis module performs information conversion according to the management instruction of the management subsystem, sends the conversion analysis result to the decision analysis module, optimizes the data through analysis of the data in the management process of ERP software, is the key for realizing information resource conversion, analyzes the analysis results of the subsystem evaluation module and the state analysis module, and invokes different data information according to the conversion analysis result, so that information conversion is realized, and the problem of information island of management is avoided;
(4) The decision analysis module optimizes the data information according to the state analysis result and the conversion analysis result, makes an information decision through the data analysis to obtain a decision analysis result, and the management subsystem integrates system resources by combining the decision analysis result.
The state analysis module is used for carrying out state analysis on the management state by combining the evaluation analysis result of the subsystem evaluation module to obtain a state analysis result, the information interaction carried out in the ERP system and the management state of the subsystem can be changed along with the time t, when a large amount of data is generated in the operation process of an electronic commerce, the state of the information interaction and the data processing capability of the ERP system can be changed, the data generated along with the change of time and the system management reaction time are also changed, the adjustment amplitude of the time t and different subsystems is taken as independent variables, and a partial differential equation is established to analyze the variables of different states, and the equation is as follows:
where F is a variation function, f=f (X, τ), x=x i ，i∈i∈[1，N]For the adjustment amplitude of each subsystem, τ is an information interaction coefficient obtained through an evaluation result of the subsystem evaluation system, a change function is determined according to the adjustment amplitude and the information interaction coefficient, u is a state function changing along with time, u=f (t, S), f is an expression sign of the state function, and S is a transaction function of the e-commerce platform in a corresponding time period;
σ is the trade fluctuation constant in the corresponding time period, r is the trade error interest rate, and h is the number of e-commerce platforms, S is a transaction function corresponding to time, and W is fluctuation variation as the transaction frequency v is changed.
The decision analysis module performs decision analysis on enterprise operation data in the ERP system by combining different state analysis results, the decision analysis module performs data analysis on the enterprise operation data by utilizing a decision analysis algorithm, initial analysis is performed on the enterprise operation data, decision analysis is performed on the initial analysis result after the initial analysis and the state analysis result of the ERP system to obtain a decision analysis result, the decision analysis module sends the decision analysis result to the management subsystem, the management subsystem integrates internal resources of the enterprise according to the decision analysis result, and data distribution is performed on a time period for generating huge enterprise operation data according to the analyzed state.
The data acquisition module acquisition process comprises an acquisition process of all subsystems, enterprise operation data comprise consumer consumption data, enterprise production data, sales data, transportation data, storage data and enterprise management data, when a large amount of data is generated in the enterprise operation process, an internal management system of an enterprise manages huge data resources by utilizing ERP software, and the data acquisition module comprises a mobile terminal and an electronic commerce platform data acquisition module.
The cloud storage module stores enterprise operation data acquired by the data acquisition module in the cloud and performs distributed management, when a large amount of enterprise operation data is generated in the enterprise operation process, the cloud storage module stores the optimized data, and the management subsystem manages different subsystems in the ERP system according to decision analysis results obtained by analysis.
When the system is particularly used, the system mainly comprises a data acquisition module, a cloud storage module, a management subsystem, a subsystem evaluation module, a state analysis module, a conversion analysis module and a decision analysis module, wherein the data acquisition module acquires enterprise operation data of different subsystems generated in the operation process of an enterprise by using a mobile terminal, and sends the acquired enterprise operation data to the cloud storage module for storage, in the e-commerce ERP information management process, the accuracy of analysis decision of the decision analysis module is improved by analyzing the enterprise operation data by the subsystem evaluation module and the state analysis module, firstly, the subsystem evaluation module analyzes management nodes of information interaction processes occurring among different subsystems to obtain node pairs, then analyzes feature sets of information interaction at different change moments by using all nodes to construct corresponding vectors, and finally, the subsystem evaluation module evaluates and analyzes different management nodes in the subsystem by using a fuzzy evaluation analysis model to obtain state data, and then carries out state analysis on the system management by using the state data of the subsystem evaluation module, the decision analysis module is greatly combined with the decision analysis module after the state analysis module is subjected to the state analysis of the state analysis system, the decision analysis module is greatly changed along with the state analysis rule is established by using the state analysis module, and the management subsystem integrates resources and manages and adjusts the resources according to the decision result.
While the invention has been described in connection with certain embodiments, it is not intended that the invention be limited thereto; for those skilled in the art to which the present invention pertains and the related art, on the premise of based on the technical scheme of the present invention, the expansion, the operation method and the data replacement should all fall within the protection scope of the present invention.
Claims (4)
1. The utility model provides an electronic commerce ERP information optimizing system which is characterized in that the system comprises a data acquisition module, a cloud storage module, a management subsystem, a subsystem evaluation module, a state analysis module, a conversion analysis module and a decision analysis module, wherein the data acquisition module utilizes a mobile terminal to acquire enterprise operation data of different subsystems generated in the operation process of an enterprise, the acquired enterprise operation data are sent to the cloud storage module for storage, different modules in ERP software perform information optimization and data analysis on data information, the subsystems comprise a sales subsystem, a logistics subsystem, a purchasing subsystem, a production subsystem, a financial subsystem and a personnel management subsystem, the subsystem evaluation module evaluates the processes of the subsystem when completing different functions to obtain state data, and the state analysis module analyzes the state data at different moments, and the system management process is specifically as follows:
(1) In the process of managing enterprise resources by ERP software, different subsystems are responsible for the management of different enterprise operation processes, the ERP software comprises a sales subsystem, a logistics subsystem, a purchasing subsystem, a production subsystem, a financial subsystem and a management subsystem, different subsystems complete different function management, a subsystem evaluation module analyzes the process of completing subsystem information interaction in different functions through the analysis and evaluation of each subsystem to obtain state data, and the specific analysis process is as follows:
step one, different subsystems finish different function management, the process related to information interaction in the completion process is recorded as a management node, the management nodes of the different subsystems for realizing different functions are different, and a subsystem evaluation system marks all the different subsystems in the system as S i ，i∈[1，N]N represents the number of subsystems, and the management node of the subsystem is marked as S ij ，j∈[1，M i ]，M N The number of management nodes of the i subsystem is represented;
analyzing the number of management nodes for information interaction between different subsystems of the subsystem, the exchanged information quantity and the information exchange frequency, calculating correlation coefficients between different management nodes, selecting corresponding related management nodes according to the correlation coefficients, and forming two management nodes into a node pair;
step three, the subsystem evaluation module evaluates and analyzes the information interaction process formed by all node pairs in the system under different time conditions, the node pairs used for the node pairs at different time are different, the node pairs for initial information exchange are input in different unit time periods, the node pairs for information exchange change along with the time, the subsystem evaluation module numbers the node pairs at different time, the node pairs are used as characteristic points, and a characteristic set V is obtained according to the characteristic points;
step four, the subsystem evaluation module constructs a vector according to the data information of the node pairs, and the vector records the characteristics of each node pair for information exchange, including the exchanged information quantity and the exchange time;
step five, clustering analysis is carried out by taking the corresponding feature set when all nodes change in the management process of all subsystems as a research object, and a feature matrix of node pair change is obtained according to vectors;
step six, the subsystem evaluation module evaluates the node pairs under different moments of the fuzzy mathematical analysis model, determines an evaluation index and a fuzzy comprehensive evaluation matrix according to the feature matrix obtained by the node pair analysis, obtains a corresponding evaluation score through calculation evaluation, evaluates the integral nodes of the subsystem to obtain state data of the subsystem, and sends the state data to the state analysis module;
(2) The state analysis module establishes a state function according to the state data of all subsystems in the system of the e-commerce ERP software, analyzes the change decision-making reaction capacity of the management state at different moments according to the state function, performs state analysis on the overall management state of the system to obtain a state analysis result, and sends the state analysis result to the conversion analysis module;
(3) The conversion analysis module performs information conversion according to the management instruction of the management subsystem and sends the conversion analysis result to the decision analysis module;
(4) The decision analysis module performs information optimization on the data information according to the state analysis result and the conversion analysis result, performs information decision through data analysis to obtain a decision analysis result, and the management subsystem performs system resource integration by combining the decision analysis result;
the state analysis module is used for carrying out state analysis on the management state by combining the evaluation analysis result of the subsystem evaluation module to obtain a state analysis result, the information interaction carried out in the ERP system and the management state of the subsystem can be changed along with the time t, when a large amount of data is generated in the operation process of an electronic commerce, the state of the information interaction and the data processing capability of the ERP system can be changed, the data generated along with the change of time and the system management reaction time are also changed, the adjustment amplitude of the time t and different subsystems is taken as independent variables, and a partial differential equation is established to analyze the variables of different states, and the equation is as follows:
where F is a variation function, f=f (X, τ), x=x i ，i∈i∈[1，N]For the adjustment amplitude of each subsystem, τ is an information interaction coefficient obtained through an evaluation result of the subsystem evaluation system, a change function is determined according to the adjustment amplitude and the information interaction coefficient, u is a state function changing along with time, u=f (t, S), f is an expression sign of the state function, and S is a transaction function of the e-commerce platform in a corresponding time period;
σ is the trade fluctuation constant in the corresponding time period, r is the trade error interest rate,and h is the number of e-commerce platforms, S is a transaction function corresponding to time, and W is fluctuation variation as the transaction frequency v is changed.
2. The electronic commerce ERP information optimizing system according to claim 1, wherein the decision analysis module performs decision analysis on enterprise operation data in the ERP system by combining different state analysis results, the decision analysis module performs data analysis on the enterprise operation data by utilizing a decision analysis algorithm, initial analysis is performed on the enterprise operation data, decision analysis is performed on the initial analysis result and the state analysis result of the ERP system after the initial analysis to obtain a decision analysis result, the decision analysis module sends the decision analysis result to the management subsystem, the management subsystem integrates enterprise internal resources according to the decision analysis result, and data distribution is performed on a time period for generating huge enterprise operation data according to the analysis state.
3. The system according to claim 1, wherein the data collection module collects all subsystems, the enterprise operation data includes consumer consumption data, enterprise production data, sales data, transportation data, storage data, and enterprise management data, and when a large amount of data is generated in the enterprise operation process, the enterprise internal management system manages huge data resources by using ERP software, and the data collection module includes a mobile terminal and an e-commerce platform data collection module.
4. The electronic commerce ERP information optimization system according to claim 1, wherein the cloud storage module stores enterprise operation data acquired by the data acquisition module in the cloud for distributed management, and when a large amount of enterprise operation data is generated in the enterprise operation process, the cloud storage module stores the optimized data, and the management subsystem manages different subsystems in the ERP system according to decision analysis results obtained by analysis.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310080027.5A CN116029522B (en) | 2023-02-07 | 2023-02-07 | E-business ERP information optimization system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310080027.5A CN116029522B (en) | 2023-02-07 | 2023-02-07 | E-business ERP information optimization system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116029522A CN116029522A (en) | 2023-04-28 |
| CN116029522B true CN116029522B (en) | 2023-12-08 |
Family
ID=86091306
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310080027.5A Active CN116029522B (en) | 2023-02-07 | 2023-02-07 | E-business ERP information optimization system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116029522B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117807425B (en) * | 2024-03-01 | 2024-05-10 | 创略智造(河北)工业设计有限公司 | Intelligent data analysis method and system |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20170014336A (en) * | 2015-07-29 | 2017-02-08 | 주식회사 로그인소프트 | Erp system having a structure of interactive data |
| CN109308665A (en) * | 2018-09-14 | 2019-02-05 | 上海陌远网络科技有限公司 | A kind of e-commerce financial platform based on big data analysis |
| CN109345293A (en) * | 2018-09-17 | 2019-02-15 | 上海宝尊电子商务有限公司 | A kind of big data information service method and system towards brand electric business |
| WO2020116985A1 (en) * | 2018-12-06 | 2020-06-11 | 주식회사 인스브룩크 | E-commerce platform evaluation system and method |
| CN114612127A (en) * | 2022-01-27 | 2022-06-10 | 上海汉得信息技术股份有限公司 | Big data-based ERP (Enterprise resource planning) information system construction method |
| KR102445842B1 (en) * | 2021-08-05 | 2022-09-21 | 이노에버솔루션 주식회사 | Integrated production process management system using IoT-based ERP platform |
| CN115130816A (en) * | 2022-05-19 | 2022-09-30 | 中国电子技术标准化研究院华东分院 | Method and system for evaluating cloud level of enterprise |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020046143A1 (en) * | 1995-10-03 | 2002-04-18 | Eder Jeffrey Scott | Method of and system for evaluating cash flow and elements of a business enterprise |
| US11816596B2 (en) * | 2020-02-25 | 2023-11-14 | Apps Consultants Inc. | Process discovery and optimization using time-series databases, graph-analytics, and machine learning |
-
2023
- 2023-02-07 CN CN202310080027.5A patent/CN116029522B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20170014336A (en) * | 2015-07-29 | 2017-02-08 | 주식회사 로그인소프트 | Erp system having a structure of interactive data |
| CN109308665A (en) * | 2018-09-14 | 2019-02-05 | 上海陌远网络科技有限公司 | A kind of e-commerce financial platform based on big data analysis |
| CN109345293A (en) * | 2018-09-17 | 2019-02-15 | 上海宝尊电子商务有限公司 | A kind of big data information service method and system towards brand electric business |
| WO2020116985A1 (en) * | 2018-12-06 | 2020-06-11 | 주식회사 인스브룩크 | E-commerce platform evaluation system and method |
| KR102445842B1 (en) * | 2021-08-05 | 2022-09-21 | 이노에버솔루션 주식회사 | Integrated production process management system using IoT-based ERP platform |
| CN114612127A (en) * | 2022-01-27 | 2022-06-10 | 上海汉得信息技术股份有限公司 | Big data-based ERP (Enterprise resource planning) information system construction method |
| CN115130816A (en) * | 2022-05-19 | 2022-09-30 | 中国电子技术标准化研究院华东分院 | Method and system for evaluating cloud level of enterprise |
Non-Patent Citations (4)
| Title |
|---|
| 基于支持向量机的ERP软件供应商选择研究;吴运建 等;生产力研究(第05期);第168-171页 * |
| 基于电力企业ERP的B2B电子商务系统研究;曲俊华 等;中国电力教育(第S3期);270-272 * |
| 我国企业实施电子商务与ERP集成方案的效能分析;李雯 等;江苏商论(第09期);第48-50页 * |
| 电子商务模式下的ERP功能需求分析;马春香;;北方经济(第04期);第89-90页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116029522A (en) | 2023-04-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109345339B (en) | Vertical industrial chain integrated transaction service system in power industry | |
| Liang et al. | An empirical study on consumer acceptance of products in electronic markets: a transaction cost model | |
| CN116029522B (en) | E-business ERP information optimization system | |
| CN107301592A (en) | The method and device excavated for commodity substitute | |
| CN107194722A (en) | A kind of Dynamic Pricing algorithm based on data mining under shared economy | |
| Wan | Discussion on the optimization strategy of e-commerce marketing management under the background of big data | |
| Tallón-Ballesteros | The design of ERP intelligent sales management system | |
| Chiu et al. | Key Successful Factors of E-commerce Platform Operations | |
| Pathak et al. | Impact of Artificial Intelligence: Applications, Transformation Strategy and Future Potential | |
| CN114240561A (en) | Intelligent recommendation system based on electronic commerce platform | |
| CN113052381A (en) | E-commerce marketing and management system based on big data | |
| CN111612592A (en) | Method and system for quickly finding goods | |
| Liu et al. | The Design of ERP Intelligent Sales Management System. | |
| Lin et al. | Study on the Modernization of Supply Chain Management of the Luxury Industry in the Context of the Digital Economy | |
| CN117974270B (en) | AI model-based footwear data management method and system | |
| Kumar et al. | An Effective Pre-Owned Car Price Prediction Based on Multi Linear Regression Technique | |
| Song et al. | A hybrid model for value‐added process analysis of manufacturing value chains | |
| Kui | Research on the Application of Big Data analysis in E-Commerce | |
| Krisdian et al. | Analysis of the Application of E-Commerce Applications in Increasing Sales Revenue at PT. United Tractors Tbk. | |
| Krisdian et al. | Analysis of the Application of E-Commerce Applications in Increasing Sales Revenue at PT. United Tractors Tbk. Alvin Krisdian, Shela, Jenifen, Juliani, Financial Management Study Program, Faculty of Economics Prima University of Indonesia | |
| El Madany et al. | PROCUREMENT FORECASTING IN ENTERPRISE RESOURCE AND PLANNING (ERP) SYSTEM USING HYBRID TIME SERIES MODEL | |
| Dankorpho | Sales Forecasting for Retail Business using XGBoost Algorithm | |
| Xiaotao | Research on Value Rebuilding of Chain Retail Enterprise Supply Chain Based on QFD | |
| Shi et al. | Research on E-Commerce Trading System Market-Oriented Transformation Which Based the Value Co-Creation Theory | |
| Suryadevara | Predictive Analysis for Big MartSales using Machine Learning Algorithms |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20231115 Address after: No. 111, 1st Floor, Building C4, Optics Valley Biotech City, No. 666 Gaoxin Avenue, Donghu New Technology Development Zone, Wuhan City, Hubei Province, 430000 Applicant after: Changgou (Wuhan) Internet of Things Technology Co.,Ltd. Address before: No. 282 Daming Road, Qinhuai District, Nanjing, Jiangsu Province, 210000 Applicant before: Nanjing Lingzhuan Information Technology Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |