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    Fuzzy Delphi and hybrid AH-MATEL integration for monitoring of paint utilization

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    Authors
    Kumar, Anil
    Mussada, Eswara Krishna
    Ashif, Mohammed
    Tyagi, Divakar
    Srivastava, Ashish Kumar
    Affiliation
    BML Munjal University
    Issue Date
    2017-03-07
    
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    Abstract
    This study investigates the unattended aspects of paint utilization selection criteria in industries. In today competitive business environment almost all companies focus towards sustainable manufacturing. The utilization evaluation and selection criteria for paint and its consumption reduction is the top priority for industry. Especially in automotive industries, paint shop stands as a centre for hazardous waste due to wastage of paint and thinner during the painting process. This research work focuses on optimizing consumption of paint by finding most important criteria affecting paint consumption and optimizing the same to achieve maximum paint yield. The study uses the routes of Delphi technique in a fuzzy environment to find out the most important criteria for paint utilization selection, so that maximize utilization and minimize consump-tion reduction of paint has been achieved. An integrated approach of AHP and DEMATEL methods has been implemented to prioritize the criteria and to familiarize the relationship within criteria. The outcomes of the study substantiate and proves that this study is the best way to select a particular paint utilization selection criteria for the paint shop and also to anticipate the optimal level of paint utilization.
    Citation
    Kumar, A.et al.(2017)’Fuzzy Delphi and hybrid AH-MATEL integration for monitoring of paint utilization’, Advances in Production Engineering & Management,12(1), pp.41-50. Doi:10.14743/apem2017.1.238
    Publisher
    University of Maribor
    Journal
    Advances in Production Engineering & Management
    URI
    http://hdl.handle.net/10545/623316
    DOI
    10.14743/apem2017.1.238
    Additional Links
    http://apem-journal.org/Archives/2017/Abstract-APEM12-1_041-050.html
    Type
    Article
    Language
    en
    ISSN
    1854-6250
    1855-6531
    ae974a485f413a2113503eed53cd6c53
    10.14743/apem2017.1.238
    Scopus Count
    Collections
    Centre for Supply Chain Improvement

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