Development of a multi‐criteria hierarchical framework for maintenance performance measurement (MPM)

Author:

Parida Aditya,Chattopadhyay Gopi

Abstract

PurposeThe purpose of this study is to develop a multi‐criteria hierarchical maintenance performance measurement framework, which is balanced, holistic and integrated to various levels of the organization.Design/methodology/approachConsolidation of published research and current practices are combined to study, identify and develop this proposed framework.FindingsA framework for maintenance performance measurement is proposed for developing and implementing a relevant, timely, reliable, cost and time‐effective and user‐friendly system for stakeholders at various levels. The indicators at the subsystem/component level, plant level and corporate level are linked with the MPIs for the organizational objectives and strategy.Practical implicationsManagement of maintenance performance is critical for long term economic viability of business and industry. Development of an integrated, balanced and holistic MPM system needs to consider various issues to measure the contribution of maintenance towards total business goals. In this paper, a multi‐criteria hierarchical MPM framework has been developed. This framework can be used by the operating managers for their maintenance decisions at various levels of an organization.Originality/valueThe paper presents a proposed MPM framework, which is integrated, and focuses on both internal and external effectiveness.

Publisher

Emerald

Subject

Industrial and Manufacturing Engineering,Strategy and Management,Safety, Risk, Reliability and Quality

Reference59 articles.

1. Abran, A. and Buglione, L. (2003), “A multidimensional performance model for consolidating balanced scorecards”, Advances in Engineering Software, Vol. 34, pp. 339‐49.

2. Ahlmann, H. (2002), “From traditional practice to the new understanding: the significance of life cycle profit concept in the management of industrial enterprises”, Proceedings of the International Foundation for Research in Maintenance Management and Modelling, Växjö, 6‐7 May.

3. Allander, H. (1997), “Objectives matrix provides information balance”, Water Engineering & Management, Vol. 144 No. 9, pp. 30‐1.

4. Al‐Turki, U. and Duffuaa, S. (2003), “Performance measures for academic departments”, International Journal of Educational Management, Vol. 17 No. 7, pp. 330‐8.

5. Augusto, M., Figueira, J. and Lisboa, J. (2005), “An application of a multi‐criteria approach to assessing the performance of Portugal's economic sectors”, European Business Review, Vol. 17 No. 2, pp. 113‐32.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3