Structured maintenance policies for deteriorating transportation infrastructures: Combination of maintenance types

Yue Shi, Yisha Xiang, Tongdan Jin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Maintenance planning for deteriorating transportation infrastructures is quite challenging because multiple maintenance actions with complex effects are usually required. This paper proposes a novel analytical model for deteriorating infrastructures with consideration of multiple types of preventive maintenance actions which have complex effects. Upon each inspection, a decision maker needs to decide whether preventive maintenance is needed, and what type of preventive maintenance action is appropriate if it is desirable. We formulate the maintenance optimization problem as a finite-horizon Markov decision process and investigate the structural properties of the optimal maintenance policies by minimizing the expected cost-To-go function. Computational study is provided to demonstrate the monotonically non-decreasing property of the optimal policies in condition and age using real-world pavement deterioration data. The monotone structure of the optimal policies is appealing in practice, because it can save the computational efforts and facilitates implementation.

Original languageEnglish
Title of host publicationRAMS 2019 - 2019 Annual Reliability and Maintainability Symposium, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538665541
DOIs
StatePublished - Jan 2019
Event2019 Annual Reliability and Maintainability Symposium, RAMS 2019 - Orlando, United States
Duration: Jan 28 2019Jan 31 2019

Publication series

NameProceedings - Annual Reliability and Maintainability Symposium
Volume2019-January
ISSN (Print)0149-144X

Conference

Conference2019 Annual Reliability and Maintainability Symposium, RAMS 2019
CountryUnited States
CityOrlando
Period01/28/1901/31/19

Keywords

  • Complex maintenance effects
  • Deteriorating transportation infrastructures
  • Markov decision process

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