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Joint optimisation of inspection maintenance and spare parts provisioning: a comparative study of inventory policies using simulation and survey data

Zahedi-Hosseini, F; Scarf, PA; Syntetos, A

Joint optimisation of inspection maintenance and spare parts provisioning: a comparative study of inventory policies using simulation and survey data Thumbnail


Authors

PA Scarf

A Syntetos



Abstract

The demand for industrial plant spare parts is driven, at least in part, by maintenance requirements. It is therefore important to jointly optimise planned maintenance and the associated spare parts inventory using the most appropriate maintenance and replenishment policies. In this simulation-based study, we address this challenge in the context of the random failure of parts in service and the replacement of defective parts at inspections of period T. Inspections are modelled using the delay-time concept. A number of simultaneous periodic review and continuous review replenishment policies are compared. A paper making plant provides a real context for the presentation of our ideas. We survey practitioners working with such plant to collect real data that inform the values of parameters in the models. Our simulation results indicate that a periodic review policy with ordering that is twice as frequent as inspection is cost optimal in the context of the plant that we study. For the purpose of comparison, we also present and discuss the characteristics of the various policies considered.

Citation

Zahedi-Hosseini, F., Scarf, P., & Syntetos, A. (2017). Joint optimisation of inspection maintenance and spare parts provisioning: a comparative study of inventory policies using simulation and survey data. Reliability Engineering and System Safety, 168, 306-316. https://doi.org/10.1016/j.ress.2017.03.007

Journal Article Type Article
Acceptance Date Mar 10, 2017
Online Publication Date Mar 12, 2017
Publication Date Dec 1, 2017
Deposit Date Mar 13, 2017
Publicly Available Date Mar 12, 2018
Journal Reliability Engineering & System Safety
Print ISSN 0951-8320
Publisher Elsevier
Volume 168
Pages 306-316
DOI https://doi.org/10.1016/j.ress.2017.03.007
Publisher URL http://dx.doi.org/10.1016/j.ress.2017.03.007
Related Public URLs http://www.sciencedirect.com/science/journal/09518320

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