A Sustainable Model of Flow Shop Scheduling for High-Efficiency, Energy-Saving and Low-Cost
With the aggravation of economic and environmental pressure, the shop scheduling method cannot deal with the problem that high-efficiency, energy-saving and low-cost demands of current manufacturing industry. To solve this problem, this paper proposed an elaborated sustainable model for the flow-shop scheduling through modeling the production time, energy consumption and production cost with multi-objective optimization which was solve using a modified genetic algorithm combined with AHP analysis. Finally, a case study about the piston shop-scheduling was carried out by comparing various scheduling schemes to verify the validity and practicality.
KeywordsFlow-shop scheduling Sustainable production Multi-objective Genetic algorithm
This work was partially supported by the Shandong Provincial Natural Science Foundation, China (ZR2017BEE018), China Postdoctoral Science Foundation (2016M592182) and the Natural Science Foundation of China (51675314).
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