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A life-cycle asset management model by response surface method based optimization

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  • Wang, Kung-Jeng
  • Basuki, Satrio Samudro Aji
  • Kurniati, Nani

Abstract

Conventional asset management is easily trapped in local optimization. This study integrates the maintenance strategic planning in the asset management scheme to minimize the annualized Total Cost of Ownership (TCO). Critical steps are considered in the proposed model including failure rate modeling, reliability modeling for preventive maintenance, and TCO modeling. Monte Carlo simulation and response surface methodology are used as an integrated solution approach for the proposed model. The case study in a cement manufacturing plant shows that the model delivers the desired optimization result. Sensitivity analysis is carried out in terms of equipment contribution, clinker price, and escalation rate. The developed model contributes to the optimum combination of preventive maintenance strategy and useful life which provides the minimum annualized TCO.

Suggested Citation

  • Wang, Kung-Jeng & Basuki, Satrio Samudro Aji & Kurniati, Nani, 2023. "A life-cycle asset management model by response surface method based optimization," International Journal of Production Economics, Elsevier, vol. 263(C).
    • Handle: RePEc:eee:proeco:v:263:y:2023:i:c:s0925527323001895
    DOI: 10.1016/j.ijpe.2023.108957
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    References listed on IDEAS

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    1. Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Wuest, Thorsten & Stahre, Johan, 2020. "Smart Maintenance: a research agenda for industrial maintenance management," International Journal of Production Economics, Elsevier, vol. 224(C).
    2. Lima, Eliana Sangreman & McMahon, Paul & Costa, Ana Paula Cabral Seixas, 2021. "Establishing the relationship between asset management and business performance," International Journal of Production Economics, Elsevier, vol. 232(C).
    3. Petchrompo, Sanyapong & Parlikad, Ajith Kumar, 2019. "A review of asset management literature on multi-asset systems," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 181-201.
    4. Lima, Eliana Sangreman & Costa, Ana Paula Cabral Seixas, 2019. "Improving Asset Management under a regulatory view," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.
    5. López-Ibarra, Jon Ander & Gaztañaga, Haizea & Saez-de-Ibarra, Andoni & Camblong, Haritza, 2020. "Plug-in hybrid electric buses total cost of ownership optimization at fleet level based on battery aging," Applied Energy, Elsevier, vol. 280(C).
    6. Gascard, Eric & Simeu-Abazi, Zineb, 2018. "Quantitative Analysis of Dynamic Fault Trees by means of Monte Carlo Simulations: Event-Driven Simulation Approach," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 487-504.
    7. Schücking, Maximilian & Jochem, Patrick, 2021. "Two-stage stochastic program optimizing the cost of electric vehicles in commercial fleets," Applied Energy, Elsevier, vol. 293(C).
    8. Li, Mingxin & Jiang, Xiaoli & Carroll, James & Negenborn, Rudy R., 2022. "A multi-objective maintenance strategy optimization framework for offshore wind farms considering uncertainty," Applied Energy, Elsevier, vol. 321(C).
    9. Danielis, Romeo & Giansoldati, Marco & Rotaris, Lucia, 2018. "A probabilistic total cost of ownership model to evaluate the current and future prospects of electric cars uptake in Italy," Energy Policy, Elsevier, vol. 119(C), pages 268-281.
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