The use of Autonomous Maintenance in the fertilizer industry in Zimbabwe

Tawanda Mushiri, Kumbirayi Mugwindiri, Charle S. Mbohwa

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

Abstract

The paper seeks to give a guideline on the implementation of Autonomous Maintenance in a typical manufacturing facility. It details the chronic and perennial problems besetting typical developing countries maintenance regime scenarios. It then proffers a simple but concise paradigm shift toward the adoption and use of Autonomous Maintenance. A thorough literature exposé is articulated which it is hoped should cement the benefits of Autonomous Maintenance. Autonomous Maintenance is a dynamic, teambased methodology for involving all employees in identifying and eliminating equipment related losses such as equipment failure, lengthy set-up time, inconsistent adjustment procedures, idling and minor stoppages, reduced production yields, processing defects, etc. The importance of teams in goal attainment is highlighted and finally the paper concludes by articulating the World famous 5's due to Nakajima and incorporates these in the implementation of Autonomous Maintenance.

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
Pages900-904
Number of pages5
ISBN (Electronic)9789881404824
Publication statusPublished - 2016
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

  • Autonomous Maintenance
  • Developing countries, maintenance, fertiliser, automation
  • Manufacturing

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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