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Scientific Article details

Title Maintenance optimization: Application of remanufacturing and repair strategies
ID_Doc 5712
Authors Wakiru, J; Pintelon, L; Muchiri, PN; Chemweno, P
Title Maintenance optimization: Application of remanufacturing and repair strategies
Year 2018
Published
DOI 10.1016/j.procir.2017.11.008
Abstract Power plant facilities located in remote and difficult to access regions often experience significant production losses due to failures, inaccurate remanufacturing, maintenance activities in addition to prolonged lead time delays while procuring critical spares. This is especially the case given unanticipated power plant failures which could portend significant power generation losses besides outages that could lead to significant societal disruptions, for instance, off grid hospital facilities. This study uses a discrete event simulation model to analyze the effect of remanufacturing and maintenance as part of circular economy strategies, on power plant availability and maintenance time. The proposed study is demonstrated through the use case of a thermal power plant located in a remote region, where findings suggest replacing components upon failure has the most significant impact and effect on system availability as well as maintenance time. Moreover, a reduction of mean time before Overhaul (MTBO) seems to lengthen the component's usage-life, hence reduces the maintenance time, and at the same time, increases the system availability. Reuse activity also yields a better mean time to recovery (MTTR), while repair has the highest amongst the evaluated recovery strategies. The study adds value by developing a framework, further applying a simulation modelling approach for evaluating the effects of remanufacturing and maintenance strategies on plant availability. (C) 2018 The Authors. Published by Elsevier B.V.
Author Keywords Circular economy; maintenance; recovery actions; critical subsytem
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000435141900155
WoS Category Green & Sustainable Science & Technology; Engineering, Environmental; Engineering, Industrial
Research Area Science & Technology - Other Topics; Engineering
PDF https://doi.org/10.1016/j.procir.2017.11.008
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