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Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing

Author

Listed:
  • Mohd Fadzil Faisae Ab Rashid

    (Universiti Malaysia Pahang)

  • Nik Mohd Zuki Nik Mohamed

    (Universiti Malaysia Pahang)

  • Ahmad Nasser Mohd Rose

    (Universiti Malaysia Pahang)

Abstract

Research in assembly optimisation is presently inclined towards integrative measures. Several benefits of simultaneously optimised Assembly Sequence Planning (ASP) and Assembly Line Balancing (ALB) have been highlighted by researchers to have better solution quality, shorter time-to-market, and minimalised error during planning. Recently, several efforts have been made to realise integrated assembly optimisation. However, none of the published research considered the two-sided assembly line problem. This paper presents an integrated ASP and ALB optimisation in a two-sided assembly environment (2S-ASPLB), which is mainly adopted in automotive assembly process. In this study, the 2S-ASPLB problem was formulated and optimised using Multi-Objective Multi-Verse Optimiser (MOMVO) by considering line efficiency, reorientation penalty, and tool change as the optimisation objectives. The computational experiments were conducted in a few stages, beginning with the identification of the best decoding approach for 2S-ASPLB. Next, the best MOMVO coefficient was studied, followed by comparing MOMVO performance with well-established multi-objective optimisation algorithms. Finally, a case study problem was presented to demonstrate applicability of the proposed model and algorithm in real-life problem. The results indicated that the priority factor (PF) decoding approach had better performance compared with others. Meanwhile, in comparison with well-established algorithms, MOMVO performed better in convergence and solution distribution. The case study results indicated the applicability of proposed 2S-ASPLB model and algorithm to improve line efficiency in assembly line. The main contribution of the research is a new 2S-ASPLB model and optimisation scheme, which can assist manufacturer in designing better assembly layout.

Suggested Citation

  • Mohd Fadzil Faisae Ab Rashid & Nik Mohd Zuki Nik Mohamed & Ahmad Nasser Mohd Rose, 2022. "Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing," Journal of Combinatorial Optimization, Springer, vol. 44(1), pages 850-876, August.
    • Handle: RePEc:spr:jcomop:v:44:y:2022:i:1:d:10.1007_s10878-022-00861-2
    DOI: 10.1007/s10878-022-00861-2
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    References listed on IDEAS

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    1. Ashish Yadav & Pawan Verma & Sunil Agrawal, 2020. "Mixed model two sided assembly line balancing problem: an exact solution approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 335-348, July.
    2. J. Mukund Nilakantan & Zixiang Li & Qiuhua Tang & Peter Nielsen, 2017. "MILP models and metaheuristic for balancing and sequencing of mixed-model two-sided assembly lines," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 11(3), pages 353-379.
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    4. Kürşad Ağpak & Saeed Zolfaghari, 2015. "Mathematical models for parallel two-sided assembly line balancing problems and extensions," International Journal of Production Research, Taylor & Francis Journals, vol. 53(4), pages 1242-1254, February.
    5. Wucheng Yang & Wenming Cheng, 2020. "Modelling and solving mixed-model two-sided assembly line balancing problem with sequence-dependent setup time," International Journal of Production Research, Taylor & Francis Journals, vol. 58(21), pages 6638-6659, November.
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