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Mixed model two sided assembly line balancing problem: an exact solution approach

Author

Listed:
  • Ashish Yadav

    (PDPM Indian Institute of Information Technology Design and Manufacturing)

  • Pawan Verma

    (PDPM Indian Institute of Information Technology Design and Manufacturing)

  • Sunil Agrawal

    (PDPM Indian Institute of Information Technology Design and Manufacturing)

Abstract

Mixed model two-sided assembly line balancing problem (MTALBP) is realized in plants delivering a high volume of big sizes products such as cars or trucks to increase space utilization. In MTALBP there is a procedure of introducing two single stations in each position left and right of the assembly line for the combined product model. In this paper, the proposed objective function is to maximize the workload at each station such that the number of stations is minimized. Since the problem is well known as NP hard, benchmark problems of MTALBP are solved using branch and bound algorithm on Lingo 16 solver. The proposed mathematical model is solved with benchmark test problems mentioned in research papers and applied to solve the case study problem of a turbocharger assembly line plant. The experimental results of the case study problem show that line efficiency is obtained 86.50% for model A and 80.75% for model B and the number of single and mated stations of the assembly line is close to the theoretical minimum number of stations. Results indicate that applying boundary conditions reduce the computational time to solve the case study problem as well as minimizes the number of stations, reduces idle time and reduces the length of the assembly line for the MTALBP.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:ijsaem:v:11:y:2020:i:2:d:10.1007_s13198-020-00956-1
    DOI: 10.1007/s13198-020-00956-1
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    References listed on IDEAS

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    1. Boysen, Nils & Fliedner, Malte & Scholl, Armin, 2007. "A classification of assembly line balancing problems," European Journal of Operational Research, Elsevier, vol. 183(2), pages 674-693, December.
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    5. 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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    Cited by:

    1. 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.
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    3. Hemant Sharma & Nagendra Sohani & Ashish Yadav, 2023. "A fuzzy SWARA-WASPAS based approach for determining the role of lean practices in enabling the supply chain agility," 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. 14(1), pages 492-511, March.

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