Lean Six Sigma Project Selection in a Manufacturing Environment Using Hybrid Methodology Based on Intuitionistic Fuzzy MADM Approach

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 assessme...

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Veröffentlicht in:IEEE transactions on engineering management Jg. 70; H. 2; S. 590 - 604
Hauptverfasser: Singh, Mahipal, Rathi, Rajeev, Antony, Jiju, Garza-Reyes, Jose Arturo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.02.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Bibliographies
Decision making
Entropy
Entropy method
Fuzzy sets
intuitionistic fuzzy (IF)
Lean manufacturing
lean six sigma (LSS)
Manufacturing
Methodology
modified technique for order preference by similarity to ideal solution (TOPSIS)
Organizations
project selection
Reliability
Reliability analysis
Sensitivity analysis
Six Sigma
Sustainable development
Vlsekriterijumska optimisacija i kompromisno resenje (VIKOR)
ISSN:0018-9391, 1558-0040
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Zusammenfassung: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 selection of LSS projects. Intuitionistic fuzzy sets based on the weighted average were adopted for aggregating individual suggestions of decision makers. The weights of selection criteria were computed using entropy measures and the available projects are prioritized using the multiattribute decision making approach, i.e., modified TOPSIS and VIKOR. The proposed methodology is validated through a case example of the LSS project selection in a manufacturing organization. The results of the case study reveal that out of eight LSS projects, the assembly section (A8) is the best LSS project. A8 is the ideal LSS project for swift gains and manufacturing sustainability. The robustness and reliability of the obtained results are checked through a sensitivity analysis. The proposed methodology will help manufacturing organizations in the selection of the best opportunities among complex situations, results in sustainable development. The engineering managers and LSS consultants can also adopt the proposed methodology for LSS project selections.
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ISSN:0018-9391
1558-0040
DOI:10.1109/TEM.2021.3049877