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REFERENCE FRAMEWORK FOR SELECTING CRITICALITY ANALYSIS TECHNIQUES IN INDUSTRIAL ENVIRONMENTS. A CASE STUDY IN THE MINING INDUSTRY

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JANUARY-DECEMBER 2017   -  Volume: 5 -  Pages: [15 p.]

DOI:

https://doi.org/10.6036/MN8171

Authors:

PABLO VIVEROS GUNCKEL - ADOLFO CRESPO MARQUEZ - LUIS BARBERA MARTINEZ - VICENTE GONZALEZ-PRIDA DIAZ - FREDY KRISTJANPOLLER RODRIGUEZ

Disciplines:

  • Industrial technology (INGENIERIA DE MANTENIMIENTO )

Downloads:   32

How to cite this paper:  
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Received Date :   5 October 2016

Reviewing Date :   5 January 2017

Accepted Date :   26 April 2017


Key words:
industria minera, optimización del mantenimiento, análisis de criticidad, eficiencia y eficacia en mantenimiento. Mining, maintenance optimization, criticality analysis, efficiency and effectiveness in maintenance.
Article type:
ARTICULO DE INVESTIGACION / RESEARCH ARTICLE
Section:
RESEARCH ARTICLES

This paper discusses the performance of production processes and maintenance policies in industrial environments from an analytical point of view.
Particularly, the paper analyzes those mechanisms for assets hierarchy that allow discretizing that equipment considered critical, i.e. equipment with a high impact in case of failure, whether in production, costs, human and/or environmental safety. Therefore, a great amount of resources should be assigned. For this purpose, firstly it is made a review of the main techniques used in the ranking of existing industrial assets in the literature. After that, a methodology is proposed in order to simplify the optimal selection of criticality analysis techniques, whose implementation is more appropriate for a particular industrial environment and based on a set of variables. This methodology uses decision trees together with dichotomous type questions. Finally, the proposed methodology is applied to a real case related to a production plant of sulfuric acid, located in Chile. The methodology
implementation has been useful to identify the most critical plant equipment in order to make appropriate decisions.

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