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Empirical evaluation of lower bounding methods for the simple assembly line balancing problem

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  • Jordi Pereira

Abstract

The simple assembly line balancing problem (SALBP) is a classical problem that arises in the design of assembly lines. The objective of the SALBP is to divide the assembly work among different workstations of the assembly line in order to maximise the efficiency of the entire line. In this paper, we: (a) put forward different families of lower bounds for the SALBP; (b) introduce new lower bounds; (c) generalise previous results; and (d) analyse the performance of these lower bounding techniques in terms of solution quality using a recently proposed set of instances. An analysis of the results of these bounds leads us to: (1) improve the best-known lower bound for 104 out of the 175 open instances from the benchmark set; (2) identify the areas of applicability of different sources of bounds; and (3) identify possible uses of these bounds in other assembly line balancing problems.

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  • Jordi Pereira, 2015. "Empirical evaluation of lower bounding methods for the simple assembly line balancing problem," International Journal of Production Research, Taylor & Francis Journals, vol. 53(11), pages 3327-3340, June.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:11:p:3327-3340
    DOI: 10.1080/00207543.2014.980014
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    Cited by:

    1. Quanming Cheng & Sen Wu & Yang Zhao, 2017. "A bin packing problem of the laundry washing buckets scheduling based on the buffer area," 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. 8(3), pages 1981-1988, November.
    2. Diefenbach, Johannes & Stolletz, Raik, 2022. "Stochastic assembly line balancing: General bounds and reliability-based branch-and-bound algorithm," European Journal of Operational Research, Elsevier, vol. 302(2), pages 589-605.
    3. Pereira, Jordi & Álvarez-Miranda, Eduardo, 2018. "An exact approach for the robust assembly line balancing problem," Omega, Elsevier, vol. 78(C), pages 85-98.
    4. Orlando Rivera Letelier & François Clautiaux & Ruslan Sadykov, 2022. "Bin Packing Problem with Time Lags," INFORMS Journal on Computing, INFORMS, vol. 34(4), pages 2249-2270, July.
    5. Shibasaki, Rui S. & Rossi, André & Gurevsky, Evgeny, 2024. "A new upper bound based on Dantzig-Wolfe decomposition to maximize the stability radius of a simple assembly line under uncertainty," European Journal of Operational Research, Elsevier, vol. 313(3), pages 1015-1030.
    6. Pereira, Jordi, 2016. "Procedures for the bin packing problem with precedence constraints," European Journal of Operational Research, Elsevier, vol. 250(3), pages 794-806.
    7. Battaïa, Olga & Dolgui, Alexandre, 2022. "Hybridizations in line balancing problems: A comprehensive review on new trends and formulations," International Journal of Production Economics, Elsevier, vol. 250(C).

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