Energy Consumption Optimization of Selective Disassembly Planning Considering Product Embodied Energy during Manufacturing

doi:10.3901/JME.2021.06.200

Abstract

Abstract: The recovery and remanufacturing of end-of-life (EOL) products can not only realize the recycling of product resources and promote the development of circular economy, but also play a role in energy saving and emission reduction. From the perspective of the product life cycle, energy consumption generated is focused during each step/stage of the product manufacturing process and the optimization of energy consumption in the selective disassembly planning (SDP) is studied during the product manufacturing process. The decisions of disassembly level, disassembly sequence, and the recovery options of subassemblies are simultaneous made in our problem to identify the optimal disassembly solution that maximizes economic and energy-saving benefits from the recovery of EOL products. First, based on the basic mathematical model of SDP and embodied energy of the product manufacturing process, an energy consumption optimization model for SDP is established, considering two evaluation indicators (objectives) i.e. the maximum of profit generated and energy consumption saved from the recovery of EOL products. Then, an improved artificial bee colony algorithm (IABC) is proposed to efficiently solve the energy consumption optimization model of SDP and obtain a comprehensive disassembly solution with large recovering profit and good energy-saving benefit. Finally, a real case for recovering a used LCD television is applied to verify the feasibility and effectiveness of the proposed model and algorithm. The computational results show that the balance of the energy consumption optimization model of SDP is significantly better than the basic mathematical model of SDP, and IABC performs excellent in terms of the convergence, robustness, and computational efficiency.

Key words: recovery and remanufacturing, disassembly planning, embodied energy, energy consumption optimization, artificial bee colony algorithm

CLC Number:

TH165

REN Yaping, GUO Hongfei, ZHANG Chaoyong, LI Lei, MENG Leilei, QU Ting, HE Ping. Energy Consumption Optimization of Selective Disassembly Planning Considering Product Embodied Energy during Manufacturing[J]. Journal of Mechanical Engineering, 2021, 57(6): 200-210.

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