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

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  • Zhongwei Zhang

    (School of Mechanical & Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China
    State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, 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)

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.

Suggested Citation

  • Zhongwei Zhang & Lihui Wu & Zhaoyun Wu & Wenqiang Zhang & Shun Jia & Tao Peng, 2022. "Energy-Saving Oriented Manufacturing Workshop Facility Layout: A Solution Approach Using Multi-Objective Particle Swarm Optimization," Sustainability, MDPI, vol. 14(5), pages 1-28, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2788-:d:759953
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    References listed on IDEAS

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    Cited by:

    1. Rui Li & Yali Chen & Jinzhao Song & Ming Li & Yu Yu, 2023. "Multi-Objective Optimization Method of Industrial Workshop Layout from the Perspective of Low Carbon," Sustainability, MDPI, vol. 15(16), pages 1-23, August.
    2. Chong Wu & Jiahua Gan & Zhuo Jiang & Anding Jiang & Wenlong Zheng, 2022. "Ecological Efficiency Evaluation, Spatial Difference, and Trend Analysis of Logistics Industry and Manufacturing Industry Linkage in the Northeast Old Industrial Base," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    3. Tudorică, Bogdan-George & Bucur, Cristian & Panait, Mirela & Oprea, Simona-Vasilica & Bâra, Adela, 2024. "Energetic Equilibrium: Optimizing renewable and non-renewable energy sources via particle swarm optimization," Utilities Policy, Elsevier, vol. 87(C).

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