Research On Optimization Of Production Task And Resource Matching Of CHQC Company Under Cloud Manufacturing Network

With the extensive application and development of cloud computing,Internet of things,virtual technology and other emerging information technology in the field of manufacturing industry,the manufacturing industry has made rapid progress and change,forming a new production mode and industrial form.As the pillar industry of China’s manufacturing industry,the automobile industry has an obvious pulling effect on the whole manufacturing industry.Although China’s auto companies have expanded rapidly in recent years,compared with the world’s important auto companies,they are still relatively small.The cost of automobile manufacturing and parts purchasing is 50% higher than the international average.At the same time,it bears the monopoly pressure of multinational automobile companies on the Chinese market.Therefore,no matter from the overall development trend of the international automobile manufacturing industry or from the trend of manufacturing transformation,there is a huge development space for the majority of automobile manufacturing enterprises in China.In recent years,CHQC Company has been committed to the production of complete vehicle products.As a traditional mini car manufacturer,it has been able to initially meet the needs of enterprise management in the production and information construction of products such as mass production,network communication,database and ERP,but its lack of manufacturing resources and the obstruction of resource information have seriously hindered the development of vehicle products.Therefore,formulating a set of perfect and shared manufacturing resource practical significance for improving competitiveness.Cloud manufacturing can well solve the problems of increasing complexity of production tasks and discretization of manufacturing resources.Based on the cloud manufacturing platform,this paper aims at the Resource matching problem of CHQC Company’s production tasks,the resource matching is optimized through the construction of resource matching optimization framework,task decomposition,the establishment of manufacturing resource evaluation indicators,and the construction of manufacturing resource selection models.Firstly,the problem of task decomposition is taken as the basis of the research of cloud manufacturing Resource matching.According to the basic principles and related constraints of task decomposition,the optimization and decomposition process of production tasks under the cloud manufacturing network is designed.Then,according to the association relationship between the meta-tasks,an association undirected graph is established,and the graph clustering algorithm is used to achieve the optimal segmentation,and then multiple sub-tasks with appropriate granularity are obtained.Finally,an evaluation index system of cloud manufacturing resources is established,and an optimization model of cloud manufacturing resource selection is constructed.Considering the influence of CHQC fuzzy evaluation on cloud manufacturing resources matching,an interval supply algorithm based on triangle mode and GIOWA operator is proposed,process the mold and the evaluation data,and finally combine the multi-evaluation value and the fuzzy evaluation value,the weight is determined by subjective needs,and the cloud manufacturing resources are comprehensively selected,and then the optimal task-resource matching scheme is obtained.An example of matching engine production tasks and cloud manufacturing resources is used to test and compare the models and methods,which proves the feasibility of the optimization model,and proposes a guarantee strategy for the optimization plan.