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Hybrid multimode resource-constrained maintenance project scheduling problem

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  • Kosztyán, Zsolt T.
  • Pribojszki-Németh, Anikó
  • Szalkai, István

Abstract

Organizing maintenance tasks is a specific and important field of project and production management. Well-planned, properly scheduled, and effectively communicated maintenance tasks result in the accomplishment of more work that is performed more efficiently at a lower cost. In maintenance and production management, agile and lean approaches are becoming more frequently used, where preventive/predictive maintenance (PPM) requires flexible project plans to decide which system components (or equipment) should be maintained to achieve the target system reliability. Maintenance projects have been treated as fixed sequences of corrective/preventive tasks, while the agile/lean approach allows for and usually requires prioritizing tasks and reorganizing the project structure. The fixed structure of maintenance projects and traditional maintenance project scheduling algorithms are not considered representative of these agile properties. The paper models the preventive resource-constrained maintenance project scheduling problem and aims at optimizing its maintainability. A matrix-based algorithm is proposed to apply to both system and project structures that include both traditional and agile/lean project management approaches.

Suggested Citation

  • Kosztyán, Zsolt T. & Pribojszki-Németh, Anikó & Szalkai, István, 2019. "Hybrid multimode resource-constrained maintenance project scheduling problem," Operations Research Perspectives, Elsevier, vol. 6(C).
    • Handle: RePEc:eee:oprepe:v:6:y:2019:i:c:s2214716019300958
    DOI: 10.1016/j.orp.2019.100129
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    References listed on IDEAS

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    1. Samrout, M. & Châtelet, E. & Kouta, R. & Chebbo, N., 2009. "Optimization of maintenance policy using the proportional hazard model," Reliability Engineering and System Safety, Elsevier, vol. 94(1), pages 44-52.
    2. Betty J. Flehinger, 1960. "System Reliability as a Function of System Age; Effects of Intermittent Component Usage and Periodic Maintenance," Operations Research, INFORMS, vol. 8(1), pages 30-44, February.
    3. Yang, Li & Ye, Zhi-sheng & Lee, Chi-Guhn & Yang, Su-fen & Peng, Rui, 2019. "A two-phase preventive maintenance policy considering imperfect repair and postponed replacement," European Journal of Operational Research, Elsevier, vol. 274(3), pages 966-977.
    4. D. R. Fulkerson, 1961. "A Network Flow Computation for Project Cost Curves," Management Science, INFORMS, vol. 7(2), pages 167-178, January.
    5. Tiwari, Vikram & Patterson, James H. & Mabert, Vincent A., 2009. "Scheduling projects with heterogeneous resources to meet time and quality objectives," European Journal of Operational Research, Elsevier, vol. 193(3), pages 780-790, March.
    6. Said, Samer S. & Haouari, Mohamed, 2015. "A hybrid simulation-optimization approach for the robust Discrete Time/Cost Trade-off Problem," Applied Mathematics and Computation, Elsevier, vol. 259(C), pages 628-636.
    7. I Ben-David & T Raz, 2001. "An integrated approach for risk response development in project planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(1), pages 14-25, January.
    8. Kosztyán, Zsolt T. & Szalkai, István, 2018. "Hybrid time-quality-cost trade-off problems," Operations Research Perspectives, Elsevier, vol. 5(C), pages 306-318.
    9. Prabuddha De & E. James Dunne & Jay B. Ghosh & Charles E. Wells, 1997. "Complexity of the Discrete Time-Cost Tradeoff Problem for Project Networks," Operations Research, INFORMS, vol. 45(2), pages 302-306, April.
    10. De, Prabuddha & James Dunne, E. & Ghosh, Jay B. & Wells, Charles E., 1995. "The discrete time-cost tradeoff problem revisited," European Journal of Operational Research, Elsevier, vol. 81(2), pages 225-238, March.
    11. Babu, A. J. G. & Suresh, Nalina, 1996. "Project management with time, cost, and quality considerations," European Journal of Operational Research, Elsevier, vol. 88(2), pages 320-327, January.
    12. Robert Pellerin & Nathalie Perrier, 2019. "A review of methods, techniques and tools for project planning and control," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2160-2178, April.
    13. Kolisch, Rainer & Sprecher, Arno, 1997. "PSPLIB - A project scheduling problem library : OR Software - ORSEP Operations Research Software Exchange Program," European Journal of Operational Research, Elsevier, vol. 96(1), pages 205-216, January.
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    Cited by:

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