IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v263y2023ics0925527323001895.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527323001895
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2023.108957?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Schücking, Maximilian & Jochem, Patrick, 2021. "Two-stage stochastic program optimizing the cost of electric vehicles in commercial fleets," Applied Energy, Elsevier, vol. 293(C).
    3. 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).
    4. 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.
    5. 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).
    6. 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.
    7. 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).
    8. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sun, Zhen & You, Xianhui, 2024. "Life cycle carbon footprint accounting of an offshore wind farm in Southeast China—Simplified models and carbon benchmarks for typhoons," Applied Energy, Elsevier, vol. 355(C).
    2. Iogansen, Xiatian & Wang, Kailai & Bunch, David & Matson, Grant & Circella, Giovanni, 2023. "Deciphering the factors associated with adoption of alternative fuel vehicles in California: An investigation of latent attitudes, socio-demographics, and neighborhood effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    3. Wang, Yubin & Dong, Wei & Yang, Qiang, 2022. "Multi-stage optimal energy management of multi-energy microgrid in deregulated electricity markets," Applied Energy, Elsevier, vol. 310(C).
    4. N. Knofius & M. C. Heijden & A. Sleptchenko & W. H. M. Zijm, 2021. "Improving effectiveness of spare parts supply by additive manufacturing as dual sourcing option," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(1), pages 189-221, March.
    5. Mohamed Gaha & Bilal Chabane & Dragan Komljenovic & Alain Côté & Claude Hébert & Olivier Blancke & Atieh Delavari & Georges Abdul-Nour, 2021. "Global Methodology for Electrical Utilities Maintenance Assessment Based on Risk-Informed Decision Making," Sustainability, MDPI, vol. 13(16), pages 1-23, August.
    6. Emily Schulte & Fabian Scheller & Wilmer Pasut & Thomas Bruckner, 2021. "Product traits, decision-makers, and household low-carbon technology adoptions: moving beyond single empirical studies," Papers 2112.11867, arXiv.org.
    7. Schwab, Julia & Sölch, Christian & Zöttl, Gregor, 2022. "Electric Vehicle Cost in 2035: The impact of market penetration and charging strategies," Energy Economics, Elsevier, vol. 114(C).
    8. Arkadiusz Małek & Jacek Caban & Agnieszka Dudziak & Andrzej Marciniak & Piotr Ignaciuk, 2023. "A Method of Assessing the Selection of Carport Power for an Electric Vehicle Using the Metalog Probability Distribution Family," Energies, MDPI, vol. 16(13), pages 1-16, June.
    9. Huang, Chao & Li, Liang, 2020. "Architectural design and analysis of a steer-by-wire system in view of functional safety concept," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    10. Romeo Danielis & Mariangela Scorrano & Manuela Masutti & Asees Muhammad Awan & Arsalan Muhammad Khan Niazi, 2024. "The Economic Competitiveness of Hydrogen Fuel Cell-Powered Trucks: A Review of Total Cost of Ownership Estimates," Energies, MDPI, vol. 17(11), pages 1-19, May.
    11. Novak, D.C. & Sullivan, J.F. & Sentoff, K. & Dowds, J., 2020. "A framework to guide strategic disinvestment in roadway infrastructure considering social vulnerability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 436-451.
    12. Joshua Holstein & Max Schemmer & Johannes Jakubik & Michael Vössing & Gerhard Satzger, 2023. "Sanitizing data for analysis: Designing systems for data understanding," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-18, December.
    13. Danielis, Romeo & Scorrano, Mariangela & Giansoldati, Marco & Rotaris, Lucia, 2019. "A meta-analysis of the importance of the driving range in consumers’ preference studies for battery electric vehicles," Working Papers 19_2, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    14. Pinciroli, Luca & Baraldi, Piero & Zio, Enrico, 2023. "Maintenance optimization in industry 4.0," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    15. Wakiru, James & Pintelon, Liliane & Muchiri, Peter N. & Chemweno, Peter K., 2021. "Integrated remanufacturing, maintenance and spares policies towards life extension of a multi-component system," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    16. Karar, Ahmed Noaman & Labib, Ashraf & Jones, Dylan, 2024. "A resilience-based maintenance optimisation framework using multiple criteria and Knapsack methods," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    17. 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.
    18. Hongyan Dui & Yulu Zhang & Yun-An Zhang, 2023. "Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost," Mathematics, MDPI, vol. 11(8), pages 1-20, April.
    19. Roberta Riverso & Carmela Altamura & Francesco La Barbera, 2023. "Consumer Intention to Buy Electric Cars: Integrating Uncertainty in the Theory of Planned Behavior," Sustainability, MDPI, vol. 15(11), pages 1-13, May.
    20. Gil Ribeiro, Carolina & Silveira, Semida, 2024. "The impact of financial incentives on the total cost of ownership of electric light commercial vehicles in EU countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:263:y:2023:i:c:s0925527323001895. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.