Replacement analysis using probabilistic life cycle costing

Life-cycle cost (LCC) is the most frequently used economic model for decision making that considers all costs in the life of a system or equipment. The LCC of repairable equipment highly depends on the reliability and availability of the equipment. Optimum equipment reliability reduces failure which...

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Main Authors: Mulubrhan, F., Mokhtar, A.A.B., Muhammad, M.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.25855 /
Published: Asian Research Publishing Network 2016
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007154597&partnerID=40&md5=c31bb3992e23278e87813f61e015cc9d
http://eprints.utp.edu.my/25855/
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spelling utp-eprints.258552021-08-27T13:07:17Z Replacement analysis using probabilistic life cycle costing Mulubrhan, F. Mokhtar, A.A.B. Muhammad, M. Life-cycle cost (LCC) is the most frequently used economic model for decision making that considers all costs in the life of a system or equipment. The LCC of repairable equipment highly depends on the reliability and availability of the equipment. Optimum equipment reliability reduces failure which in turn reduces disruption of product that have a direct link to maintenance and production cost. This paper presents a mathematical model to estimate the life cycle cost (LCC) of repairable equipment. Operation and Maintenance cost are calculated using activity based costing. Pump system containing two pumps in a parallel configuration is taken as a case and their LCC is analyzed using the developed model. The developed model is used to assess alternative replacement option of the existing pump system. The alternative options are either to continue with the existing system or to replace one of the pumps that have highest downtime or to replace both pumps. © 2006-2016 Asian Research Publishing Network (ARPN). Asian Research Publishing Network 2016 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007154597&partnerID=40&md5=c31bb3992e23278e87813f61e015cc9d Mulubrhan, F. and Mokhtar, A.A.B. and Muhammad, M. (2016) Replacement analysis using probabilistic life cycle costing. ARPN Journal of Engineering and Applied Sciences, 11 (22). pp. 13042-13048. http://eprints.utp.edu.my/25855/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Life-cycle cost (LCC) is the most frequently used economic model for decision making that considers all costs in the life of a system or equipment. The LCC of repairable equipment highly depends on the reliability and availability of the equipment. Optimum equipment reliability reduces failure which in turn reduces disruption of product that have a direct link to maintenance and production cost. This paper presents a mathematical model to estimate the life cycle cost (LCC) of repairable equipment. Operation and Maintenance cost are calculated using activity based costing. Pump system containing two pumps in a parallel configuration is taken as a case and their LCC is analyzed using the developed model. The developed model is used to assess alternative replacement option of the existing pump system. The alternative options are either to continue with the existing system or to replace one of the pumps that have highest downtime or to replace both pumps. © 2006-2016 Asian Research Publishing Network (ARPN).
format Article
author Mulubrhan, F.
Mokhtar, A.A.B.
Muhammad, M.
spellingShingle Mulubrhan, F.
Mokhtar, A.A.B.
Muhammad, M.
Replacement analysis using probabilistic life cycle costing
author_sort Mulubrhan, F.
title Replacement analysis using probabilistic life cycle costing
title_short Replacement analysis using probabilistic life cycle costing
title_full Replacement analysis using probabilistic life cycle costing
title_fullStr Replacement analysis using probabilistic life cycle costing
title_full_unstemmed Replacement analysis using probabilistic life cycle costing
title_sort replacement analysis using probabilistic life cycle costing
publisher Asian Research Publishing Network
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007154597&partnerID=40&md5=c31bb3992e23278e87813f61e015cc9d
http://eprints.utp.edu.my/25855/
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score 11.62408