Research On Cloud Manufacturing Composite Service Configuration Method Based On Task Relationship

With the development of information technology,the manufacturing industry is facing a new development opportunity,and is gradually changing from production-oriented manufacturing mode to service-oriented manufacturing mode.As a new networked manufacturing mode,the cloud manufacturing is born from the concept of "manufacturing as a service" and aims to realize the sharing and distribution of manufacturing resources on demand,and to improve the efficiency of resource utilization and the core competitiveness of enterprises.The cloud manufacturing resource configuration method represented by composite services is the key problem that the cloud platform needs to deal with.In this thesis,the framework of cloud manufacturing composite service configuration based on task relationship is established and the composite service configuration method of different task relationship types under multi-functional requirements on cloud platform is studied.The main research contents are as follows:The composite service configuration method for heterogeneous tasks based on the QoS(Quality of Service)is proposed.Aiming at the composite service configuration problem of heterogeneous tasks under cloud manufacturing mode,the composite service process is analyzed and the QoS evaluation model is established by considering the various factors that may affect the service resource evalution system.Base on the QoS evaluation model,the overall QoS comprehensive values of different composite service schemes are calculated The improved maximum and minimum ant colony algorithm is used to solve the composition service configuration problem of heterogeneous tasks and an example is provided to verify the proposed method.The composite service configuration method for isomorphic tasks based on the bilateral matching is proposed.For the composite service configuration problem of multi-attribute isomorphic tasks under cloud manufacturing mode,the manufacturing tasks and resources are regarded as the main body of bilateral market,and the multiple reference points are established by the prospect theory.The attribute information of both parties is transformed into the matching degree and difference degree of both parties.Furthermore,with the optimization goal of matching degree and difference degree,the multi-objective optimization model is constructed and solved and the resource configuration schemes are obtained.The composite service configuration method for hybrid tasks based on the temporal relationship is proposed.Aiming at the composite service configuration problem of hybrid tasks under cloud manufacturing mode,the integrated QoS model of cloud services considering the logistics distribution is established and its indicators are unified and dimensionaliszed.According to the temporal relationship of hybrid tasks,the mathematical model of hybrid tasks composition service configuration problem is established based on the QoS model,and the optimization genetic algorithm is used to solve the problem.Finally,the operability and effectiveness of the model and the improved algorithm are verified by an example.The cloud manufacturing configuration prototype system for composite services is designed and developed.Based on the analysis of system function modules and business process,the frontend interfaces of the prototype system is developed by Python programming language on PyCharm development platform,and the background algorithms of the prototype system are realized by MATLAB.The cloud manufacturing configuration prototype system of composite services is completed to verify the effectiveness of the proposed method in this thesis.