Robotic disassembly line balancing and sequencing problem considering energy-saving and high-profit for waste household appliances. (25th December 2022)

• Record Type: Journal Article
• Authors: Zeng, Yanqing; Zhang, Zeqiang; Yin, Tao; Zheng, Hongbin
• Is Part Of: Journal of cleaner production. Volume 381:Part 1(2022)
• Publication Date: 2022-12-25
• Subjects: Robotic disassembly -- Line balancing -- Sequence planning -- Genetic simulated annealing algorithm -- Multi-objective optimization; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2022.135209
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: Waste household appliances contain hazardous substances and valuable components. The timely disposal of these waste products can avoid environmental pollution and improve the recycling rate of resources. Robotic disassembly can realize efficient and precise disassembly to achieve sustainable and clean production. Reasonable allocation of robots and disassembly tasks is the key to achieving efficient production. Reducing energy consumption and improving profits are the focus of the government and enterprises. The tool replacement of the robot needs to be considered in the actual disassembly process, which increases the difficulty of the problem. This study establishes a multi-objective robotic disassembly line balancing and sequencing model to quantify the problem. The model aims to shorten the disassembly completion time and perform disassembly operations with energy-saving and high-profit. An improved genetic simulated annealing algorithm based on problem characteristics is designed. The superiority of the proposed algorithm is verified by solving 21 benchmarks with the number of tasks ranging from 7 to 148 and comparing with five algorithms. In a disassembly case of waste household appliances represented by a microwave oven, 66 disassembly schemes are obtained for decision makers to choose from different emphases. The results show that these schemes can not only achieve efficient and green disassembling but also obtain higher disassembly profits.