Adoption of maintenance key performance indicators in the Namibian mining industry

Michael Mutingi, Veiko Nangolo, Harmony Musiyarira, Charles Mbohwa

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

2 Citations (Scopus)

Abstract

The adoption of maintenance key performance indicators (KPIs) is crucial to every machine-intensive mining industry. It is important, however, to obtain an in-depth understanding of the nature and rate of adoption of these KPIs. This paper presents an assessment of the adoption of KPIs in the Namibian mining industry. It seeks to investigate the relationship between business strategy and the KPIs adopted, the approach used to derive them, the focus of the measurement system, whether emphasis is on the past or future events, and the usage of performance measurement in managing the maintenance operations. A questionnaire was designed based on concepts from the literature, and distributed to the 17 mining enterprises. A total of 7 (out of 17) responses were obtained. Results of the study indicate that the mines use KPIs fairly effectively and efficiently with some room for improvement. However, the maintenance operations were lacking in the following aspects; low of performance improvement drive, heavy reliance on lagging rather than leading indicators and the wide use of equipment related reactive indicators.

Original languageEnglish
Title of host publicationWCECS 2016 - World Congress on Engineering and Computer Science 2016
EditorsWarren S. Grundfest, Craig Douglas, S. I. Ao
PublisherNewswood Limited
Pages991-995
Number of pages5
ISBN (Electronic)9789881404824
Publication statusPublished - 2016
Externally publishedYes
Event2016 World Congress on Engineering and Computer Science, WCECS 2016 - San Francisco, United States
Duration: 19 Oct 201621 Oct 2016

Publication series

NameLecture Notes in Engineering and Computer Science
Volume2226
ISSN (Print)2078-0958

Conference

Conference2016 World Congress on Engineering and Computer Science, WCECS 2016
Country/TerritoryUnited States
CitySan Francisco
Period19/10/1621/10/16

Keywords

  • Adoption
  • Key performance indicators
  • Maintenance
  • Mining industry
  • Namibia

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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