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Economic lifetime of a drilling machine: a case study on mining industry
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. Mechanical engineering Department, College of Engineering University of Mosul, Mosul, Iraq.ORCID iD: 0000-0001-5620-5265
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0001-7744-2155
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Mathematical Science.ORCID iD: 0000-0001-7656-7271
2013 (English)In: MPMM 2013 (Maintenance Performance Measurement and Management) / [ed] sari Monto; Miia Pirttilä; Timo Kärri, Lappeenranta, Finland: MPMM 2013 , 2013, p. 138-147Conference paper, Published paper (Refereed)
Abstract [en]

Underground mines use many different types of machinery during the drift mining processesof drilling, charging, blasting, loading, scaling and bolting. Drilling machines play a criticalrole in the mineral extraction process and thus are important economically. However, as themachines age, their efficiency and effectiveness decrease, negatively affecting productivityand profitability and increasing total cost. Hence, the economic replacement lifetime of themachine is a key performance indicator. This paper introduces an optimisation model thatgives the optimal lifetime for a drilling machine. A case study has been done at anunderground Swedish mine to identify the economic replacement time of a drilling machine.It considers the purchase price, maintenance and operation costs, and the machine’s secondhandvalue. Findings show that the economic replacement lifetime of a drilling machine inthis mine is 96 months. The proposed model can be used for other underground miningmachines.

Place, publisher, year, edition, pages
Lappeenranta, Finland: MPMM 2013 , 2013. p. 138-147
Keywords [en]
Drilling machine, Optimal equipment lifetime, Optimization model
National Category
Other Civil Engineering Probability Theory and Statistics
Research subject
Operation and Maintenance; Mathematical Statistics
Identifiers
URN: urn:nbn:se:ltu:diva-26974Local ID: 04128c92-657f-4d30-a614-7b81dded6aa4ISBN: 978-952-265-443-4 (electronic)OAI: oai:DiVA.org:ltu-26974DiVA, id: diva2:1000155
Conference
Maintenance Performance Measurement and Management Conference : 12/09/2013 - 13/09/2013
Note

Godkänd; 2013; 20130916 (hasham)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2022-10-12Bibliographically approved

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Authority records

Hamodi, HussanLundberg, JanJonsson, Adam

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