Title

A review on condition-based maintenance optimization models for stochastically deteriorating system

Author First name, Last name, Institution

Suzan Alaswad, Zayed University
Yisha Xiang, Lamar University

Document Type

Article

Source of Publication

Reliability Engineering and System Safety

Publication Date

1-1-2017

Abstract

© 2016 Elsevier Ltd Condition-based maintenance (CBM) is a maintenance strategy that collects and assesses real-time information, and recommends maintenance decisions based on the current condition of the system. In recent decades, research on CBM has been rapidly growing due to the rapid development of computer-based monitoring technologies. Research studies have proven that CBM, if planned properly, can be effective in improving equipment reliability at reduced costs. This paper presents a review of CBM literature with emphasis on mathematical modeling and optimization approaches. We focus this review on important aspects of the CBM, such as optimization criteria, inspection frequency, maintenance degree, solution methodology, etc. Since the modeling choice for the stochastic deterioration process greatly influences CBM strategy decisions, this review classifies the literature on CBM models based on the underlying deterioration processes, namely discrete- and continuous-state deterioration, and proportional hazard model. CBM models for multi-unit systems are also reviewed in this paper. This paper provides useful references for CBM management professionals and researchers working on CBM modeling and optimization.

ISSN

0951-8320

Publisher

Elsevier Ltd

Volume

157

First Page

54

Last Page

63

Disciplines

Computer Sciences

Keywords

Condition-based maintenance, Inspection, Maintenance optimization, Preventive maintenance, Stochastic deterioration

Scopus ID

84984844822

Indexed in Scopus

yes

Open Access

no

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