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

Journal article


Kumar, Anil, Mussada, Eswara Krishna, Ashif, Mohammed, Tyagi, Divakar and Srivastava, Ashish Kumar 2017. Fuzzy Delphi and hybrid AH-MATEL integration for monitoring of paint utilization. Advances in Production Engineering & Management. https://doi.org/10.14743/apem2017.1.238
AuthorsKumar, Anil, Mussada, Eswara Krishna, Ashif, Mohammed, Tyagi, Divakar and Srivastava, Ashish Kumar
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.

KeywordsAutomotive Industry; Paint Shop; Optimization; Paint Consumption and Utilization; AHP; DEMATEL
Year2017
JournalAdvances in Production Engineering & Management
PublisherUniversity of Maribor
ISSN1854-6250
1855-6531
Digital Object Identifier (DOI)https://doi.org/10.14743/apem2017.1.238
Web address (URL)http://hdl.handle.net/10545/623316
hdl:10545/623316
Publication dates07 Mar 2017
Publication process dates
Deposited17 Jan 2019, 18:41
Accepted15 Feb 2017
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ContributorsBML Munjal University
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