Carbon Emissions Reducing Mechanisms on Integrated Process Parameter Optimization and Scheduling Problem Considering Makespan and Carbon Emissions

Abstract:

This paper develops an integrated process parameter optimization and scheduling problem, where process parameter optimization and flow shop scheduling are considered simultaneously. Two objectives are taken into account: minimize makespan and carbon emissions. Non-dominated sorting genetic algorithm is adopted to handle such a problem. Then, the researchers propose two carbon emission reducing mechanisms to optimize the scheduling results: postponing mechanism, and process parameter preliminary optimization (PPPOM) mechanism. There are four cases depending on whether or not mechanisms are employed. The effects of those mechanisms on minimum objective functions, number of non-dominated solutions and quality of non-dominated solutions are studied. The results indicate that those mechanisms have significant influence on the optimization results. Better non-dominated solutions are produced when more mechanisms are employed.

• Periodical: Advanced Materials Research (Volumes 869-870)
• Pages: 1015-1023
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.869-870.1015
• Online since: December 2013
• Authors: Wen Wen Lin, Dao Yuan Yu, Chao Yong Zhang*, Shao Jun Wang, Zhan Peng Xie, Sheng Qiang Liu, Yu Hui Tian
• Keywords: Flow Shop Scheduling, Green Manufacturing, NSGA-∏, Process Parameter Optimization

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