The Research On Demand Management Of The Supply Chain Based On The Theory Of Big Data

In the age of big data,data and data analysis technologies are important resource for enterprises to gain an advantage in competition.In the business operation process,there will be a large amount of information and data coming out every second and an enterprise will gain great economic value if it pays attention to the processing and analysis of information and data.However,with the increasingly prominent drawbacks,the demand management models in supply chain have been unable to meet the needs of big data.Therefore,this paper provides a theoretical basis for the demand information sharing theory system in supply chain by adopting large data theories,which is of great practical significance to enhance the overall competitiveness of the supply chain.The paper focuses on exploring the application of large data theory to improve demand management.In the first chapter,the paper introduces the current situation of researches on demand management in supply chain management at home and abroad;in the second chapter,the paper describes various key technologies such as demand sharing theory,game theory,synergetics theory and big data in supply chain and provides a theoretical basis and technical support for the construction of the demand information database platform based on the big data theory.In the third chapter,the paper,through an analysis on causes and harms of many problems in traditional demand management,finds the common reason,which is that demand information is not shared;then in the fourth chapter,the paper put forward the idea of constructing the big database platform with the sharing and analysis of demand information data by use of big data and other technologies.The paper focuses on constructing a big database platform based on big data theories and proposes that the platform should have various functions such as sharing demand information,coordinating member enterprises in the chain and others on the basis of the feasibility and principle of platform construction.In order to achieve the above functions,this paper designs the overall structure of the platform and divides the process into five steps;acquisition of demand information big data,processing and storage of demand information big data,organization and management of demand information big data,analysis on demand information big data and decisions on demand information big data.By introducing the big data theory in acquisition of the demand information,the purpose is to gather demand information of all members of the supply chain in the operation process,relevant demand information beyond the supply chain and government's policy environment information and other data;to protect the integrity of a huge amount of demand information data,establish the corresponding data storage for demand information data in the big data storage and ensure more information data can be stored;to realize the efficient integration and efficient utilization of the demand information data in the organization and management of big data;to extract regular data analysis and predictive data analysis methods data of big data mining technologies and predict market demand from a large amount of demand information data in the large data analysis;to make decisions by use of results from such data in the final stage.Several security measures are introduced in the security mechanism to ensure the integrity and safety of the storage of demand information data in the supply chain.Finally,in the fifth chapter,the paper introduces three special phenomena in the traditional demand management as the analysis objects,compares these three traditional demand management problems with the situation before application after analyzing and applying the big data technology and therefore verifies the superiority of the platform.The innovation in this paper lies in the following aspects: first,this author introduces big data theory in the demand management in supply chain,which expands the scope of demand information,enriches the theory system of demand information sharing and conforms to the current development trend in the age of big data;second,from the perspective of actual needs of the supply chain,the author discusses and constructs the overall structure and application functions of the big database platform and brings the function of decision-making to the information data so as to help the enterprise managers to make scientific decisions.