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Cell formation and layout design using genetic algorithm and TOPSIS: A case study of Hydraulic Industries State Company

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  • Dhulfiqar Hakeem Dhayef
  • Sawsan S A Al-Zubaidi
  • Luma A H Al-Kindi
  • Erfan Babaee Tirkolaee

Abstract

Cell formation (CF) and machine cell layout are two critical issues in the design of a cellular manufacturing system (CMS). The complexity of the problem has an exponential impact on the time required to compute a solution, making it an NP-hard (complex and non-deterministic polynomial-time hard) problem. Therefore, it has been widely solved using effective meta-heuristics. The paper introduces a novel meta-heuristic strategy that utilizes the Genetic Algorithm (GA) and the Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) to identify the most favorable solution for both flexible CF and machine layout within each cell. GA is employed to identify machine cells and part families based on Grouping Efficiency (GE) as a fitness function. In contrast to previous research, which considered grouping efficiency with a weight factor (q = 0.5), this study utilizes various weight factor values (0.1, 0.3, 0.7, 0.5, and 0.9). The proposed solution suggests using the TOPSIS technique to determine the most suitable value for the weighting factor. This factor is critical in enabling CMS to design the necessary flexibility to control the cell size. The proposed approach aims to arrange machines to enhance GE, System Utilization (SU), and System Flexibility (SF) while minimizing the cost of material handling between machines as well as inter- and intracellular movements (TC). The results of the proposed approach presented here show either better or comparable performance to the benchmark instances collected from existing literature.

Suggested Citation

  • Dhulfiqar Hakeem Dhayef & Sawsan S A Al-Zubaidi & Luma A H Al-Kindi & Erfan Babaee Tirkolaee, 2024. "Cell formation and layout design using genetic algorithm and TOPSIS: A case study of Hydraulic Industries State Company," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-22, January.
    • Handle: RePEc:plo:pone00:0296133
    DOI: 10.1371/journal.pone.0296133
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    References listed on IDEAS

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    1. Edmundas Kazimieras Zavadskas & Abbas Mardani & Zenonas Turskis & Ahmad Jusoh & Khalil MD Nor, 2016. "Development of TOPSIS Method to Solve Complicated Decision-Making Problems — An Overview on Developments from 2000 to 2015," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 645-682, May.
    2. Shruti Shashikumar & Rakesh D. Raut & Vaibhav S. Narwane & Bhaskar B. Gardas & Balkrishna E. Narkhede & Anjali Awasthi, 2019. "A novel approach to determine the cell formation using heuristics approach," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 628-656, September.
    3. Shahrul Kamaruddin & Sok Yee Khoo & Zahid A. Khan & Arshad Noor Siddiquee, 2011. "The effect of layout design on productivity: an empirical study," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 7(4), pages 484-500.
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