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

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.

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“…Geng et al propose a logistics park layout optimization method that considers carbon emissions through combining the STIRPAT model with the enhanced SLP method [24]. Mao et al employ the FlexSim simulation software to assess and analyze the outcomes of SLP-based layout designs, taking into account carbon emissions and other assembly line-related metrics, with the aim of identifying the most suitable layout optimization strategy [25].…”

An Assortment–Quantity Optimization Problem in Printing Industry Using Simulation Modelling

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