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
| Authors | Kumar, 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. |
| Keywords | Automotive Industry; Paint Shop; Optimization; Paint Consumption and Utilization; AHP; DEMATEL |
| Year | 2017 |
| Journal | Advances in Production Engineering & Management |
| Publisher | University of Maribor |
| ISSN | 1854-6250 |
| 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 dates | 07 Mar 2017 |
| Publication process dates | |
| Deposited | 17 Jan 2019, 18:41 |
| Accepted | 15 Feb 2017 |
| Rights | Archived with thanks to Advances in Production Engineering & Management |
| Contributors | BML Munjal University |
| File | File Access Level Open |
| File | File Access Level Controlled |
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