Multi-Objective Optimization Method of Industrial Workshop Layout from the Perspective of Low Carbon

Rui Li (), Yali Chen (), Jinzhao Song, Ming Li and Yu Yu
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Rui Li: School of Civil Engineering, Xi′an University of Architecture and Technology, Xi’an 710055, China
Yali Chen: School of Civil Engineering, Xi′an University of Architecture and Technology, Xi’an 710055, China
Jinzhao Song: School of Management, Xi′an University of Architecture and Technology, Xi’an 710055, China
Ming Li: China Architecture Design and Research Group Co., Ltd., Beijing 100044, China
Yu Yu: School of Civil Engineering, Xi′an University of Architecture and Technology, Xi’an 710055, China

Sustainability, 2023, vol. 15, issue 16, 1-23

Abstract: A crucial measure to accelerate the low-carbon transformation of enterprises in the industrial sector involves stringent control over carbon emissions attributed to logistics and transportation activities. In this study, a multi-objective workshop layout optimization model is developed, aiming to minimize logistics cost per unit area and carbon emissions, and maximize the non-logistics relationship. The objective is to mitigate avoidable transportation-related carbon emissions during enterprise operations, while facilitating the co-development of the enterprise’s economy and environment. The model is solved utilizing an enhanced NSGA-II algorithm, with the initial solution set optimized through a combination of system layout design method, dynamic adaptive crossover, and variation strategies. Additionally, the distribution function is introduced to enhance the elite retention strategy and boost the algorithm’s search rate. By using an actual case study, the usefulness of the enhanced algorithm is demonstrated, and the plant’s initial low-carbon layout is realized in order to advance the enterprises’ sustainable growth.

Keywords: workshop layout; multi-objective optimization; enhanced NSGA-II algorithm; systematic layout planning (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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