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

Mahipal Singh, Rajeev Rathi, Jiju Antony, Jose Arturo Garza-Reyes

    Research output: Contribution to journalArticlepeer-review

    43 Scopus citations

    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 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.

    Original languageBritish English
    Pages (from-to)590-604
    Number of pages15
    JournalIEEE Transactions on Engineering Management
    Volume70
    Issue number2
    DOIs
    StatePublished - 1 Feb 2023

    Keywords

    • Entropy method
    • intuitionistic fuzzy (IF)
    • lean six sigma (LSS)
    • modified technique for order preference by similarity to ideal solution (TOPSIS)
    • project selection
    • Vlsekriterijumska optimisacija i kompromisno resenje (VIKOR)

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