Published January 2019 | Version v1
Journal article

A review of asset management literature on multi-asset systems

  • 1. University of Cambridge, Institute for Manufacturing, 17 Charles Babbage Road, Cambridge, CB3 0FS (United Kingdom)

Description

Highlights: • Comprehensive definitions of multi-unit, multi-asset, fleet, and portfolio systems. • Identification of conductive asset dependencies for multi-asset systems. • Classification of decisions pertaining to fleet and portfolio systems. • Extensive review of optimisation and multi-criteria decision analysis methods. • Insights into current trends and potential research avenues for multi-asset systems. -- Abstract: This article gives an overview of the literature on asset management for multi-unit systems with an emphasis on two multi-asset categories: fleet (a system of homogeneous assets) and portfolio (a system of heterogeneous assets). As asset systems become more complicated, researchers have employed different terms to refer to their specific problems. With an objective to facilitate readers in searching conducive studies to their interests, this paper establishes a novel classification scheme for multi-unit systems in accordance with essential features such as diversity of assets and intervention options. Moreover, discerning differences in characteristics between cross-component and cross-asset interactions, we select three types of potential multi-component dependencies (performance, stochastic, and resource) and extend their notions to be applicable to multi-asset systems. The investigation into these dependencies enables the identification of problems that could exist in real industrial settings but are yet to be determined in academia. Ultimately, we delve into modelling approaches adopted by previous researchers. This comprehensive information allows us to offer the insights into the current trends in multi-asset maintenance. We expect that the output of this review paper will not only stress research gaps in multi-asset systems, but more importantly help systematise future studies on this aspect.

Additional details

Identifiers

DOI
10.1016/j.ress.2018.09.009;
PII
S0951832018302631;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
181
Journal Page Range
p. 181-201
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55017129
Subject category
S42: ENGINEERING;
Descriptors DEI
COMPUTERIZED SIMULATION; MAINTENANCE; OPTIMIZATION; PERFORMANCE; STOCHASTIC PROCESSES
Descriptors DEC
SIMULATION

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.