IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i16p12275-d1215277.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/16/12275/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/16/12275/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Matai, Rajesh, 2015. "Solving multi objective facility layout problem by modified simulated annealing," Applied Mathematics and Computation, Elsevier, vol. 261(C), pages 302-311.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pablo Pérez-Gosende & Josefa Mula & Manuel Díaz-Madroñero, 2020. "Overview of Dynamic Facility Layout Planning as a Sustainability Strategy," Sustainability, MDPI, vol. 12(19), pages 1-16, October.
    2. 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.
    3. Vincent F. Yu & Shih-Wei Lin & Panca Jodiawan & Yu-Chi Lai, 2023. "Solving the Flying Sidekick Traveling Salesman Problem by a Simulated Annealing Heuristic," Mathematics, MDPI, vol. 11(20), pages 1-21, October.
    4. Daria Leiber & David Eickholt & Anh-Tu Vuong & Gunther Reinhart, 2022. "Simulation-based layout optimization for multi-station assembly lines," Journal of Intelligent Manufacturing, Springer, vol. 33(2), pages 537-554, February.
    5. Jerzy Grobelny & Rafal Michalski, 2018. "Simulated annealing based on linguistic patterns: experimental examination of properties for various types of logistic problems," WORking papers in Management Science (WORMS) WORMS/18/09, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
    6. Mehmet Burak Şenol & Ekrem Alper Murat, 2023. "A sequential solution heuristic for continuous facility layout problems," Annals of Operations Research, Springer, vol. 320(1), pages 355-377, January.
    7. Nurul Nadia Nordin & Ruzanna Ab Razak & Govindan Marthandan, 2023. "A Unique Strategy for Improving Facility Layout: An Introduction of The Origin Algorithm," Sustainability, MDPI, vol. 15(14), pages 1-13, July.
    8. 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.
    9. 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.
    10. Uttam Karki & Pratik J. Parikh, 2024. "Visibility-based layout of a hospital unit – An optimization approach," Health Care Management Science, Springer, vol. 27(2), pages 188-207, June.
    11. Irawan, Chandra Ade & Song, Xiang & Jones, Dylan & Akbari, Negar, 2017. "Layout optimisation for an installation port of an offshore wind farm," European Journal of Operational Research, Elsevier, vol. 259(1), pages 67-83.
    12. 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).
    13. Simge Yelkenci Kose & Ozcan Kilincci, 2020. "A multi-objective hybrid evolutionary approach for buffer allocation in open serial production lines," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 33-51, January.
    14. Akash Tayal & Angappa Gunasekaran & Surya Prakash Singh & Rameshwar Dubey & Thanos Papadopoulos, 2017. "Formulating and solving sustainable stochastic dynamic facility layout problem: a key to sustainable operations," Annals of Operations Research, Springer, vol. 253(1), pages 621-655, June.
    15. Parveen Sharma & Sandeep Singhal, 2016. "Design and evaluation of layout alternatives to enhance the performance of industry," OPSEARCH, Springer;Operational Research Society of India, vol. 53(4), pages 741-760, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12275-:d:1215277. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.