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

Author

Listed:
  • 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)

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.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12275-:d:1215277
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    References listed on IDEAS

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    1. 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.
    2. Matai, Rajesh, 2015. "Solving multi objective facility layout problem by modified simulated annealing," Applied Mathematics and Computation, Elsevier, vol. 261(C), pages 302-311.
    3. Jerzy Grobelny & Rafal Michalski, 2017. "A novel version of simulated annealing based on linguistic patterns for solving facility layout problems," WORking papers in Management Science (WORMS) WORMS/17/07, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
    4. Pablo Pérez-Gosende & Josefa Mula & Manuel Díaz-Madroñero, 2021. "Facility layout planning. An extended literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 59(12), pages 3777-3816, June.
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    Cited by:

    1. Al-Amin Abba Dabo & Amin Hosseinian-Far, 2023. "An Integrated Methodology for Enhancing Reverse Logistics Flows and Networks in Industry 5.0," Logistics, MDPI, vol. 7(4), pages 1-26, December.

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