Multi-objective scheduling of cloud manufacturing resources through the integration of Cat swarm optimization and Firefly algorithm

2019 ◽  
Vol 14 (3) ◽  
pp. 333-342 ◽  
Author(s):  
Y. Du ◽  
J.L. Wang ◽  
L. Lei
Keyword(s):  
Firefly Algorithm ◽  
Cloud Manufacturing ◽  
Swarm Optimization ◽  
Multi Objective ◽  
Cat Swarm Optimization ◽  
Manufacturing Resources

Autonomous resource allocation of smart workshop for cloud machining orders

2020 ◽  
pp. 1-14
Author(s):  
Jizhuang Hui ◽  
Jingyuan Lei ◽  
Kai Ding ◽  
Fuqiang Zhang ◽  
Jingxiang Lv
Keyword(s):  
Resource Allocation ◽  
Firefly Algorithm ◽  
Cloud Manufacturing ◽  
Particle Swarm Algorithm ◽  
Connecting Rod ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Processing Resource ◽  
Processing Cost ◽  
Improved Firefly Algorithm

Abstract In order to realize the online allocation of collaborative processing resource of smart workshop in the context of cloud manufacturing, a multi-objective optimization model of workshop collaborative resources (MOM-WCR) was proposed. Considering the optimization objectives of processing time, processing cost, product qualification rate, and resource utilization, MOM-WCR was constructed. Based on the time sequence of workshop processing tasks, the workshop collaborative manufacturing resource was integrated in MOM-WCR. Fuzzy analytic hierarchy process (FAHP) was adopted to simplified the multi-objective problem into the single-objective problem. Then, the improved firefly algorithm which integrated the particle swarm algorithm (IFA-PSA) was used to solve MOM-WCR. Finally, a group of connecting rod processing experiments were used to verify the model proposed in this paper. The results show that the model is feasible in the application of workshop-level resource allocation in the context of cloud manufacturing, and the improved firefly algorithm shows good performance in solving the multi-objective resource allocation problem.

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