A systems dynamics enabled real-time efficiency for fuel cell data-driven remanufacturing

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dc.contributor.author Okorie, Okechukwu
dc.contributor.author Salonitis, Konstantinos
dc.contributor.author Charnley, Fiona
dc.contributor.author Turner, Christopher
dc.date.accessioned 2018-12-11T11:28:00Z
dc.date.available 2018-12-11T11:28:00Z
dc.date.issued 2018-11-06
dc.identifier.citation Okechukwu Okorie, Konstantinos Salonitis, Fiona Charnley and Christopher Turner. A systems dynamics enabled real-time efficiency for fuel cell data-driven remanufacturing. Journal of Manufacturing and Materials Processing, 2018, Volume 2, Issue 4, Article number 77 en_UK
dc.identifier.issn 2504-4494
dc.identifier.uri https://doi.org/10.3390/jmmp2040077
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/13716
dc.description.abstract Remanufacturing is a viable option to extend the useful life of an end-of-use product or its parts, ensuring sustainable competitive advantages under the current global economic climate. Challenges typical to remanufacturing still persist, despite its many benefits. According to the European Remanufacturing Network, a key challenge is the lack of accurate, timely and consistent product knowledge as highlighted in a 2015 survey of 188 European remanufacturers. With more data being produced by electric and hybrid vehicles, this adds to the information complexity challenge already experienced in remanufacturing. Therefore, it is difficult to implement real-time and accurate remanufacturing for the shop floor; there are no papers that focus on this within an electric and hybrid vehicle environment. To address this problem, this paper attempts to: (1) identify the required parameters/variables needed for fuel cell remanufacturing by means of interviews; (2) rank the variables by Pareto analysis; (3) develop a casual loop diagram for the identified parameters/variables to visualise their impact on remanufacturing; and (4) model a simple stock and flow diagram to simulate and understand data and information-driven schemes in remanufacturing. en_UK
dc.language.iso en en_UK
dc.publisher MDPI en_UK
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ *
dc.subject circular economy en_UK
dc.subject remanufacturing en_UK
dc.subject fuel cells en_UK
dc.subject data-driven en_UK
dc.subject systems dynamics en_UK
dc.title A systems dynamics enabled real-time efficiency for fuel cell data-driven remanufacturing en_UK
dc.type Article en_UK

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