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Identification of Factors affecting Human performance in Mining Maintenance tasks
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
2014 (English)In: Proceedings of the 3rd international workshop and congress on eMaintenance: June 17-18 Luleå, Sweden : eMaintenance, Trends in technologies & methodologies, challenges, possibilites and applications / [ed] Uday Kumar; Ramin Karim; Aditya Parida; Philip Tretten, Luleå: Luleå tekniska universitet, 2014, 71-76 p.Conference paper (Refereed)
Abstract [en]

This paper investigates the factors affecting humanperformance in maintenance task in mining sector. Theobjective is identify various factors and to classify them asdriving (strong driving power and weak dependence) anddependent factors (weak driving power and strongdependence). The factors were identified through literaturesurvey and are ranked using mean score of data questionnaire.The reliability of measures is pretested by applyingCronbach’s alpha coefficient to responses to a questionnairegiven to maintenance personnel. The interrelationshipsbetween human factors have been recognized by interpretivestructural modeling (ISM). Further, these factors have beenclassified using matrice d'impacts croises-multiplicationappliqué à un classement (MICMAC) analysing. This casestudy will figure out the factors affecting human performancefor deriving maintenance management insights to improveproductivity in the mining sector. Further, this understandingmay be helpful in framing the policies and strategies formining industry. Temperature, lighting, documentation,communication and fitness are driving factors. Moreover,Work layout, tools availability, complex tasks, time pressure,safety, boss decisions, training, fatigue and motivation havestrong driving power as well as high dependencies and itcomes under the category of linkage factors.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2014. 71-76 p.
Research subject
Operation and Maintenance
URN: urn:nbn:se:ltu:diva-37208Local ID: b28f9b20-d2b1-49a3-a849-e54aff51ef86ISBN: 978-91-7439-972-1ISBN: 978-91-7439-973-8 (PDF)OAI: diva2:1010706
International Workshop and Congress on eMaintenance : 17/06/2014 - 18/06/2014
Godkänd; 2014; 20140619 (andbra)Available from: 2016-10-03 Created: 2016-10-03Bibliographically approved

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