Aimed at the current characteristics and the requirements of a aircraft tools workshop, the uncertainty and diversity of the market requires that the MES of the aircraft tools workshop has the ability of reconfiguration and reusability. Because the service oriented architecture(SOA) has the good characteristics of loose coupling, reusable service, standardized service interface, etc, the paper proposes a SOA-based reconfigurable manufacturing execution system(MES), the paper also puts forward the technical route of the construction and implementation of the SOA-based MES. Then, in order to overcome the current drawbacks of the existing algorithms for the function module of manufacturing resource planning, an improved hybrid effective general particle swarm optimization(GPSO) has been developed to solve the open shop scheduling problem(OSSP) which is abstracted from the scheduling problem of the aircraft tools workshop. Based on the optimization mechanism of the traditional particle swarm optimization(PSO), improved GPSO algorithm changes the method of initialization population and its crossover and mutation operations of GPSO. Several benchmark problems have been used to verify the feasibility and performance of the proposed algorithm. The results show that the proposed algorithm accelerates the convergence and improves the quality of the OSSP solution.
On the optimal control of single-stage hybrid manufacturing systems via novel and different variants of particle swarm optimization algorithm
