 A life-cycle asset management model by response surface method based optimizationKung-Jeng Wang, Satrio Samudro Aji Basuki and Nani Kurniati International Journal of Production Economics, 2023, vol. 263, issue C 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. Keywords: Asset management; Maintenance strategy; Monte Carlo simulation; Response surface methodology; Total cost of ownership (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:263:y:2023:i:c:s0925527323001895 DOI: 10.1016/j.ijpe.2023.108957 Access Statistics for this article International Journal of Production Economics is currently edited by Stefan Minner More articles in International Journal of Production Economics from Elsevier |
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