A New Multi-Objective Hybrid Flow Shop Scheduling Method to Fully Utilize the Residual Forging Heat

• Published in: IEEE access Vol. 8; p. 1
• Main Authors: Cheng, Qiang, Liu, Chenfei, Chu, Hongyan, Liu, Zhifeng, Zhang, Wei, Pan, Junjie
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Billets; Completion time; Constraint modelling; Energy consumption; Energy efficiency; Energy saving scheduling; Evolutionary algorithms; Forging; Forging planning; Furnaces; Heat; Heat treatment; Heating furnaces; Heating systems; Job shop scheduling; Job shops; Multi-objective optimization; Multiple objective analysis; Optimization; Production scheduling; Scheduling; Temperature constraint

This paper aims to solve the problem of high energy consumption in forging production through energy-saving scheduling. By analyzing the flow shop characteristics of a forging workshop, an energy-efficient hybrid flow shop scheduling problem with forging tempering (EEHFSP-FT) is proposed. An energy-...