Research On Networked Cooperative Manufacturing Resource Reconfiguration Optimization Based On Service-oriented Architecture

As a kind of advanced manufacturing paradigm in network economy and knowledge economy environment, collaborative manucturing emphasizes inter-enterprise collaboration and resource sharinig in the whole society.The goal of collaborative manufacturing is to reduce the production cost and improve the resource efficienvy. Networked cooperative manufacturing resource reconfiguration and optimization is the key technology to realize distributed collaborative manufacturing. It has become one of the hot topics in the study field of modern integrated manufacturing. Under the drive of the global development of service economic and circle economic, the manufacturing puts up the trend of serving the customer demand, and the oriented-service manufacturing appears. Due to the satisfaction of requirement of service-oriented manufacturing, it is of great the theoretical value and realistic significance to construct service-oriented networked cooperative manufacturing system to support global resource share and collaboration with service-oriented technology introduced into networked cooperative manufacturing field. This dissertation mainly discusses the architecture and key technologies of networked cooperative manufacturing resource reconfiguration optimization system. The main research contents in this dissertation are as follows:Firstly, the overall framework for NCMROR is studied. After the system requirement is anaylzed for the NCMROR, the system architecture is presented based on the service-oriented architecture and multi-agent technology. The main contents of the system structure are analyzed, and the function model of system is designed. The key of system realization are discussed and thus the research direction of the dissertation is determined.Secondly, the modeling technology of networked cooperative manufacturing resources based on the meta-model is studied. After the analysis of networked cooperative manufacturing resources modeling, the resources are classified and the requirement is analyzed for the modeling of cooperative manufacturing resources considering the characteristics of cooperative manufacturing resources. The ooperative manufacturing resources meta-model which was composed of three sub-meta-models including the basic data meta-model, the operation process meta-model and application meta-model was presented. Then, analysis of cooperative manufacturing resource information model proved its ability of resource model integration and extension. At last, the resource was described by eXtensible Markup Language.Thirdly, the customer-demand-oriented discovery and search of networked cooperative manufacturing resources(NCMR) are studied. A hierarchical NCMR search algorithm is proposed based on the gray and fuzzy clustering:at fist, On the basis of gray related criterion and customer demand, a fuzzy clustering algorithm is presented——the fuzzy clustering based on the gray related criterion is realized and the framework of the NCMR fuzzy clustering based on the customer demands. After the clustering algorithm was proposed, an optimization model of NCMR clustering evaluated by internal clustering degree,external detached degree and the satisfying degree of customers is proposed and genetic algorithm is applied to optimize the clustering results. Furthermore, an application instance proves the validity of the algorithm. After NCMR being clustered, a hierarchical,distributed search and customer-demand-oriented framework of NCMR is structured including self-organizing laye,clustering layer and diffused layer. Finally, the corresponding flow of is established.Fourthly, the multi-objective reconfiguration optimization scheduling of NCMR service-oriented. Considering the problem exists in the reconfiguration optimization scheduling of NCMR, a the multi-objective reconfiguration optimization scheduling of NCMR mathematical model is proposed, which includes four main factors. Such as production working time, production working cost, production process quality and resources service quality are considered. A scheduling method for the multi-objective reconfiguration optimization scheduling of NCMR is presented based on Pareto multi-objective immunity genetic algorithm. In order to ensure the groups variety, prevent the premature convergence problem, some key technologies such as population ranking technique, niche technique, Pareto solution set filter were applied, the algorithm improved the genetic operators and proposed self-adaptive crossover and mutation operators, and immune selection could eliminate semblable individuals. Immune memory was adopted to dynamic search near each approximate optimal solution, so it accelerated search and improved quality of solution. Finally the result of simulation indicates validity of algorithm.Fifthly, the evaluating system for NCMR reconfiguration is studied. On the basis of the analysing of the characteristics of the NCMR reconfiguration and criterion of the evaluation index, a comprehensive evaluation model for NCMR reconfiguration is proposed. After the analyzing of the meaning of every index, a evaluation method of NCMR reconfiguration optimization based on the gray theory and fuzzy muster is proposed and the evaluation for every index is realized. Finally, an instance for resources reconfiguration project optimal selection of some enterprise proves the validity of the evaluation system.Sixthly, the integrated framework of the NCMR reconfiguration optimization system based on the architecture service-oriented is presented. The Agent structure of system and the communication mechanism between every Agent are designed.Finally, on the basis of above research, the system prototype of NCMR reconfiguration optimization is developed. The system is applied in the engineering, and the result shows the effectiveness of the system.