Joint optimization of spare parts ordering and age-based preventive replacement
Sofia Panagiotidou
International Journal of Production Research, 2020, vol. 58, issue 20, 6283-6299
Abstract:
In this paper, an integrated model for the joint optimisation of preventive replacement time and spare parts ordering policy is proposed for systems with more than one identical items that operate in parallel. The operating items are preventively replaced under an item-specific age-based preventive replacement policy, while the inventory of spare parts is continuously monitored and replenished under an (s, S) continuous review policy, combined with emergency orders in case of shortages during lead time. The optimal cost of the proposed model is compared against the one of sequential optimisation, where the preventive replacement time is first selected using a traditional age-based preventive replacement model and the inventory control parameters are then optimised for the resulting value of the preventive replacement time. The numerical analysis shows that, unless a preventive replacement is not economically advisable, the proposed model significantly outperforms sequential optimisation. In addition, the proposed model is also compared against the case where the system inter-replacement times are assumed to follow the exponential distribution. The numerical analysis shows that such an approximation, although it is satisfactory when the number of items is large, can be very costly when the number of items in the system and/or the order lead time is quite small.
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2019.1677959 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:58:y:2020:i:20:p:6283-6299
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20
DOI: 10.1080/00207543.2019.1677959
Access Statistics for this article
International Journal of Production Research is currently edited by Professor A. Dolgui
More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().