Energy-Saving Oriented Manufacturing Workshop Facility Layout: A Solution Approach Using Multi-Objective Particle Swarm Optimization

Zhongwei Zhang, Lihui Wu, Zhaoyun Wu, Wenqiang Zhang, Shun Jia and Tao Peng
Additional contact information
Zhongwei Zhang: School of Mechanical & Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China
Lihui Wu: School of Mechanical Engineering, Shanghai Institute of Technology, Shanghai 201418, China
Zhaoyun Wu: School of Mechanical & Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China
Wenqiang Zhang: School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
Shun Jia: Department of Industrial Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Tao Peng: State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China

Sustainability, 2022, vol. 14, issue 5, 1-28

Abstract: Low-carbon sustainable development has become the consensus of manufacturing enterprises to fulfill their social responsibilities. Facility layout is an essential part of manufacturing system planning. Current research has demonstrated the advantages of energy saving on the manufacturing system level where operational methods (e.g., energy-efficient production scheduling and path planning) can be utilized and do not require massive investment in the existing legacy system. However, these efforts are mostly based on the existing fixed facility layout. Meanwhile, although facility layout problems have been extensively studied so far, the related work seldom involves the optimization of energy consumption (EC) or other EC-related environmental impact indicators, and does not clearly reveal if EC can be an independent optimization objective in facility layout. Accordingly, whether the energy-saving potential of a manufacturing system can be further tapped through rational facility layout is the gap of the current study. To address this, an investigation into energy-saving oriented manufacturing workshop facility layout is conducted. Correspondingly, an energy-efficient facility layout (EFL) model for the multi-objective optimization problem that minimizes total load transport distance and EC is formulated, and a multi-objective particle swarm optimization-based method is proposed as the solution. Furthermore, experimental studies verify the effectiveness of the presented model and its solution, indicating that EC can be regarded as an independent optimization objective during facility layout, and EFL is a feasible energy-saving approach for a manufacturing system.

Keywords: energy consumption; energy-efficient facility layout; multi-objective optimization; multi-objective particle swarm optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/5/2788/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/5/2788/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:5:p:2788-:d:759953

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().