Simulation of Low Carbon Layout Optimization of Disassembly Line Based on SLP Method

Jia Mao, Jinyuan Cheng, Xiangyu Li, Honggang Zhao () and Dexin Yu
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Jia Mao: School of Transportation, Jilin University, Changchun 130022, China
Jinyuan Cheng: School of Transportation, Jilin University, Changchun 130022, China
Xiangyu Li: College of Automotive Engineering, Jilin University, Changchun 130022, China
Honggang Zhao: College of Chemical Engineering, Xinjiang Normal University, Urumqi 830054, China
Dexin Yu: School of Navigation, Jimei University, Xiamen 361021, China

Sustainability, 2023, vol. 15, issue 6, 1-26

Abstract: New concepts such as low-carbon economy, low-carbon production, low-carbon living and even low-carbon cities have become popular topics in environmental protection. The disassembly line part of reverse logistics is accompanied by high carbon emission, which is contrary to the original intention of sustainable development. In this paper, we design a systematic low-carbon layout for the disassembly line of the logistics processing center to address the problem of high carbon emissions caused by the unreasonable layout of the disassembly line. Taking the disassembly line in the logistics center of Company H as the research object, the process of the disassembly line is analyzed, and the SLP analysis method is applied to analyze the material flow and the material flow intensity level of the disassembly line layout, and three different optimization schemes are derived. Flexsim software was used to model and run the three initial layout schemes of the disassembly line, and the data related to the waiting time operation of each scheme were obtained. Finally, carbon emission and other disassembly-line-related indicators were introduced and weights were set, and the results were subjected to weighted gray correlation analysis to arrive at the optimal disassembly line layout optimization scheme. This study will provide reference for other reverse logistics processing center layout studies.

Keywords: logistics processing center; disassembly line; decarbonization; layout design; Flexsim simulation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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