Maintenance gravity window based opportunistic maintenance scheduling for multi-unit serial systems with stochastic production waits

Xiaojun Zhou and Xiaohan Ning

Reliability Engineering and System Safety, 2021, vol. 215, issue C

Abstract: This paper proposes an Opportunistic Maintenance (OM) scheduling model for the multi-unit serial system subject to random production waits. With the stochastic nature of production waits involved, the pre-scheduled Preventive Maintenance (PM) time for each unit changes from a specific time to a time window. To effectively group the PM activities of the units with a series of time windows, a new concept called Maintenance Gravity Window (MGW) is introduced and then a novel MGW based OM policy is developed. Whenever one of the units reaches its PM threshold or accepts a production wait to conduct PM, a PM opportunity for the system arises. At that time, all the other units, which also reach their own PM thresholds or accept this production wait, or whose gravity related to the current PM opportunity is within the MGW, will be preventively maintained together with this unit. The optimal MGW for the system is obtained by minimizing the total maintenance cost per unit time throughout the PM scheduling horizon. Finally, numerical examples and comparisons are illustrated to show the cost-effectiveness of the proposed MGW based OM policy.

Keywords: Multi-unit serial production system; Stochastic production wait; Opportunistic maintenance; Maintenance time window; Maintenance gravity window (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832021003495
Full text for ScienceDirect subscribers only

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:eee:reensy:v:215:y:2021:i:c:s0951832021003495

DOI: 10.1016/j.ress.2021.107828

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().