Lean Six Sigma project selection in a manufacturing environment using hybrid methodology based on intuitionistic fuzzy MADM approach
Journal article
Authors | Singh, Mahipal, Rathi, Rajeev, Antony, Jiju and Garza-Reyes, Jose Arturo |
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Abstract | Project selection has a critical role in the successful execution of the lean six sigma (LSS) program in any industry. The poor selection of LSS projects leads to limited results and diminishes the credibility of LSS initiatives. For this reason, in this article, we propose a method for the assessment and effective |
Keywords | Entropy method; intuitionistic fuzzy; lean six sigma |
Year | 2021 |
Journal | IEEE Transactions on Engineering Management |
Publisher | IEEE |
ISSN | 1558-0040 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/TEM.2021.3049877 |
Web address (URL) | http://hdl.handle.net/10545/625610 |
http://creativecommons.org/publicdomain/zero/1.0/ | |
hdl:10545/625610 | |
Publication dates | 08 Feb 2021 |
Publication process dates | |
Deposited | 12 Feb 2021, 09:16 |
Accepted | Jan 2021 |
Rights | CC0 1.0 Universal |
Contributors | Lovely Professional University, Phagwara, India, Heriot-Watt University, Edinburgh and University of Derby |
File | File Access Level Open |
File | File Access Level Open |
https://repository.derby.ac.uk/item/94y62/lean-six-sigma-project-selection-in-a-manufacturing-environment-using-hybrid-methodology-based-on-intuitionistic-fuzzy-madm-approach
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