Research on multi-objective optimization and simulation to HFSSP hybrid flow-shop scheduling problem for energy saving

2nd International Workshop on Materials Science and Mechanical Engineering

机械制造;材料科学

Tian, X.K.^1^2 ; Ma, B.C.^1 ; Zhang, J.W.^1 ; Zhao, R.Y.^2 ; Wang, J.^2

Institute of Mechanical Engineering, Linyi University, Linyi

276000, China^1

CIMS Research Center, Tongji University, Shanghai

201804, China^2

关键词: Application examples;    Combinational optimization;    High energy consumption;    Hybrid flow shop scheduling;    Least energy cost;    Objective functions;    Production Scheduling;    Provide guidances;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/504/1/012108/pdf
DOI  :  10.1088/1757-899X/504/1/012108

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

To the production scheduling optimization for high energy consumption process, making energy consumption as objective function is relatively less. Using the combinational optimization method of system modeling simulation and improved genetic algorithm, it studies the multi - objective optimization including the least energy cost and shortest maximal flow time to HFSSP(hybrid flow shop scheduling problem). Finally the application example is introduced to verify the feasibility of the method. The proposed method may provide guidance for the enterprise to save energy.