Multi-period Oriented Integrated Optimization of Cloud Manufacturing Service Matching and Scheduling
Aiming at the uncertainty of the environment and the fuzziness of multi-user preferences,this paper employs dual hesitant fuzzy theory to realize cloud manufacturing machining services matching with user tasks.Based on the different task arrival time and due time requirements of multiple users,the multi-period oriented bi-objective optimization model of cloud manufacturing machining service matching and scheduling is established to minimize the idle time and total completion cost of the machining service.Then,a hybrid multi-objective algorithm(NSGAII-SA)is designed by integrating a simulated annealing algorithm(SA)into NSGAII to optimize the model.Finally,different examples are used to compare the performance of NSGAII-SA with different algorithms,and the simulation results prove the effectiveness of the model and the efficiency of the algorithm.
Machining serviceMatching and schedulingMulti-periodSimulated annealing
NETL
NSTL
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