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

Author:

Zhang ZhongweiORCID,Wu Lihui,Wu Zhaoyun,Zhang Wenqiang,Jia Shun,Peng TaoORCID

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.

Funder

National Natural Science Foundation of China

Key Science and Technology Program of Henan Province

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference48 articles.

1. Department of Energy Statistics, National Bureau of Statistics, People’s Republic of China (2021). China Energy Statistical Yearbook 2020.

2. Efficient models for the facility layout problem;Eur. J. Oper. Res.,1991

3. A genetic algorithm with the heuristic procedure to solve the multi-line layout problem;Comput. Ind. Eng.,2012

4. Mathematical optimization approaches for facility layout problems: The state-of-the-art and future research directions;Eur. J. Oper. Res.,2017

5. Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm;Robot. Comput.-Integr. Manuf.,2013

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