Prioritising solutions for Lean Six Sigma adoption barriers through fuzzy AHP-modified TOPSIS framework

Gunjan Yadav · Dinesh Seth · Tushar N. Desai

114 citations0/0 files storedInternational Journal of Lean Six Sigma

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Quality and Supply Management Multi-Criteria Decision Making Management and Optimization Techniques

Abstract

Purpose This paper aims to guide about prioritisation and ranking of the solutions and overcoming barriers to facilitate the adoption of Lean Six Sigma (LSS) by using a hybrid framework. Design/methodology/approach It identifies LSS barriers and solutions to facilitate LSS adoption through literature review and by involving subject experts. The study makes use of fuzzy set theory and proposes a fuzzy analytical hierarchy process (AHP)-modified TOPSIS (technique for order preference by similarity to ideal solution) framework. It uses sensitivity analysis to establish framework robustness. Findings The key findings of this techno-managerial study are identification and prioritisation of 27 LSS barriers and 22 solutions to overcome adoption challenges, proposition and usage of fuzzy AHP-modified TOPSIS framework, guidance regarding where to focus for facilitating LSS adoption and ensuring robustness using sensitivity analysis, which establishes insignificant deviation in rankings when criteria weights are altered. Research limitations/implications Some biasness and subjectivity may exist during pairwise comparisons as human judgements are involved. Practical implications Handling a hybrid solution like LSS is never easy. It is expected that the study will help industry professionals to plan their LSS adoption attempts effectively. Guidance regarding LSS barriers will assist in observing necessary precautions to avoid failures. It will open up new research fronts for researchers also. Originality/value Literature is full of studies regarding LSS barriers and its rankings. It is very rare to witness a study like ours, which discusses the barriers and links with solutions and its prioritisation. Proposed hybrid framework for a hybrid techno-managerial approach such as LSS is unique and acts as the roadmap for smooth implementation.

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References

2010Lean Six Sigma – getting better all the time 2012Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods 2010The evolution of lean Six Sigma 2017Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS 2014Critical failure factors of Lean Six Sigma: a systematic literature review 2005Six sigma in small‐ and medium‐sized UK manufacturing enterprises 2013A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers 2009Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives

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