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    Descriptive framework for simulation-aided sustainability decision-making: a delphi study

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    SPC paper-Feb 2020.pdf
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    Authors
    Gbededo, Mijoh A
    Liyanage, Kapila
    Affiliation
    University of Derby
    University of Strathclyde
    Issue Date
    2020-02-13
    
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    Abstract
    Making an effective sustainability decision at every stage of a product life cycle is key to achieving a holistic sustainable product development. The extant literature highlights the challenges and lack of effective tools for determining the impact of manufacturing processes on the environmental, economic and social dimensions, as well as the interdependence of the outcome of one dimension on the other. This research paper identifies methodologies, tools, and approaches that can be integrated into a single descriptive framework to enable both assessment and analysis of the aspects of the three sustainability dimensions. The paper also details the development of the framework using inductive methods and conceptual synthesis of key sustainability approaches and a Delphi study involving panels of international researchers and practitioners in the field of sustainable manufacturing. The framework can provide a platform for both practitioners and sustainability analysts to build impact analysis models that will support effective sustainability decision-making. It will also enable a clear perspective of the required elements, processes and indicators that need to be considered in sustainable manufacturing design and assessments.
    Citation
    Gbededo, M.A. and Liyanage, K., (2020). 'Descriptive Framework for Simulation-aided Sustainability Decision-making: A Delphi Study'. Sustainable Production and Consumption, pp. 1-29. DOI: 10.1016/j.spc.2020.02.006
    Publisher
    Elsevier
    Journal
    Sustainable Production and Consumption
    URI
    http://hdl.handle.net/10545/624525
    DOI
    10.1016/j.spc.2020.02.006
    Additional Links
    https://www.sciencedirect.com/science/article/pii/S2352550919301721#!
    Type
    Article
    Language
    en
    EISSN
    23525509
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.spc.2020.02.006
    Scopus Count
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    Department of Mechanical Engineering & the Built Environment

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