Performance of physical asset management using the analytic hierarchy process
ISSN: 0263-7472
Article publication date: 5 December 2018
Issue publication date: 6 June 2019
Abstract
Purpose
The purpose of this paper is to explore certain resources, capabilities and competencies needed to improve the performance of physical asset management (PAM).
Design/methodology/approach
The analytic hierarchy process (AHP) is used to select and prioritize the most appropriate factors for improving performance. A multi-criteria approach is used to analyze and compare the importance of 6 main criteria and 18 subcriteria identified from a survey of relevant literature.
Findings
The study revealed that not all factors are viewed as having equal importance in improving PAM performance, as three of the main factors attained greater importance among the six factors.
Research limitations/implications
This study explored the factors required for managing assets only within the third stage of asset lifecycle, that is, the utilization stage. It is recommended that future studies be conducted in such a way as to determine the importance of similar factors in the other stages of the asset lifecycle, or to identify new factors and add new criteria.
Practical implications
Knowledge of the differential impacts of the factors on the performance of PAM can impact asset managers and decision makers in their allocation of resources and focus their work on the highest-ranked rather than the lowest-ranked factors. Also, AHP used provides an effective mean for asset managers to identify priorities among decision criteria in their organization.
Originality/value
To date, no study has explored the impact of six combined factors on the performance of PAM. Previous studies have found that these factors each had equal importance. However, their relative ranking in practice and when they appear together have remained unrecognized.
Keywords
Citation
Al Marzooqi, F.A., Hussain, M. and Ahmad, S.Z. (2019), "Performance of physical asset management using the analytic hierarchy process", Property Management, Vol. 37 No. 3, pp. 327-345. https://doi.org/10.1108/PM-07-2018-0039
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited