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Modelling and optimisation of energy-efficient U-shaped robotic assembly line balancing problems

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  • Zikai Zhang
  • Qiuhua Tang
  • Zixiang Li
  • Liping Zhang

Abstract

Within U-shaped assembly lines, the increase of labour costs and subsequent utilisation of robots has led to growing energy consumption, which is the current main expense of auto and electronics industries. However, there are limited researches concerning both energy consumption reduction and productivity improvement on U-shaped robotic assembly lines. This paper first develops a nonlinear multi-objective mixed-integer programming model, reformulates it into a linear form by linearising the multiplication of two binary variables, and then refines the weight of multiple objectives so as to achieve a better approximation of true Pareto frontiers. In addition, Pareto artificial bee colony algorithm (PABC) is extended to tackle this new complex problem. This algorithm stores all the non-dominated solutions into a permanent archive set to keep all the good genes, and selects one solution from this set to overcome the strong local minima. Comparative experiments based on a set of newly generated benchmarks verify the superiority of the proposed PABC over four multi-objective algorithms in terms of generation distance, maximum spread, hypervolume ratio and the ratio of non-dominated solution.

Suggested Citation

  • Zikai Zhang & Qiuhua Tang & Zixiang Li & Liping Zhang, 2019. "Modelling and optimisation of energy-efficient U-shaped robotic assembly line balancing problems," International Journal of Production Research, Taylor & Francis Journals, vol. 57(17), pages 5520-5537, September.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:17:p:5520-5537
    DOI: 10.1080/00207543.2018.1530479
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    Cited by:

    1. Boysen, Nils & Schulze, Philipp & Scholl, Armin, 2022. "Assembly line balancing: What happened in the last fifteen years?," European Journal of Operational Research, Elsevier, vol. 301(3), pages 797-814.
    2. 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).
    3. Masood Fathi & Amir Nourmohammadi & Morteza Ghobakhloo & Milad Yousefi, 2020. "Production Sustainability via Supermarket Location Optimization in Assembly Lines," Sustainability, MDPI, vol. 12(11), pages 1-15, June.

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