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Preventive maintenance task balancing with spare parts optimisation via big-bang big-crunch algorithm

Author

Listed:
  • D. E. Ighravwe

    (University of Lagos
    Ladoke Akintola University of Technology)

  • S. A. Oke

    (University of Lagos
    Covenant University)

  • K. A. Adebiyi

    (Ladoke Akintola University of Technology)

Abstract

Work balancing increasingly plays an important role in both the production and maintenance functions. However, the literature on work balancing problems in transfer line manufacturing systems provides little information on the contributions of maintenance technicians and spare parts with a focus on penalty, technicians’ costs and incentives for staff. Unlike existing reports, the current investigation attempts to solve the maintenance task balancing problem. It combines preventive maintenance technicians’ assignments with product demand and spares utilisation in a transfer line manufacturing system. It uses an optimisation framework that measures the success of post-line balancing solution performance in a system from a holistic perspective. The novelty of the approach lies in the integration of technicians and spare parts theory and the introduction of penalty, technicians’ costs and incentive for staff. The proposed optimisation method was applied to a case study for detergent manufacturing system as a means of testing the effectiveness and robustness of the approach. The results show that the proposed model appears to be effective. Some simulations were also carried out to complement practical results.

Suggested Citation

  • D. E. Ighravwe & S. A. Oke & K. A. Adebiyi, 2017. "Preventive maintenance task balancing with spare parts optimisation via big-bang big-crunch algorithm," 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(2), pages 811-822, November.
  • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:2:d:10.1007_s13198-016-0529-9
    DOI: 10.1007/s13198-016-0529-9
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    References listed on IDEAS

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    1. Bautista, Joaquin & Pereira, Jordi, 2007. "Ant algorithms for a time and space constrained assembly line balancing problem," European Journal of Operational Research, Elsevier, vol. 177(3), pages 2016-2032, March.
    2. Bautista, Joaquín & Pereira, Jordi, 2009. "A dynamic programming based heuristic for the assembly line balancing problem," European Journal of Operational Research, Elsevier, vol. 194(3), pages 787-794, May.
    3. Ighravwe, D.E. & Oke, S.A., 2014. "A non-zero integer non-linear programming model for maintenance workforce sizing," International Journal of Production Economics, Elsevier, vol. 150(C), pages 204-214.
    4. McGovern, Seamus M. & Gupta, Surendra M., 2007. "A balancing method and genetic algorithm for disassembly line balancing," European Journal of Operational Research, Elsevier, vol. 179(3), pages 692-708, June.
    5. Bautista, Joaquín & Pereira, Jordi, 2011. "Procedures for the Time and Space constrained Assembly Line Balancing Problem," European Journal of Operational Research, Elsevier, vol. 212(3), pages 473-481, August.
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    Cited by:

    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.

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