Efficacy of fuzzy MADM approach in Six Sigma analysis phase in automotive sector

Six sigma is a strategy for achieving process improvement and operational excellence within an organization. decisions on critical parameter selection in analysis phase are always very crucial; it plays a primary role in successful execution of six sigma project and for productivity improvement in manufacturing environment and involves the imprecise, vague and uncertain information. using a case study approach; the paper demonstrates a tactical approach for selection of critical factors of machine breakdown in center less grinding (clg) section at an automotive industry using fuzzy logic based multi attribute decision making approach. in this context, we have considered six crucial attributes for selection of critical factors for breakdown. mean time between failure is found to be the pivotal selection criterion in clg section. having calculated the weights pertinent to criteria through two methods (fuzzy vikor and fuzzy topsis) critical factors for breakdown are prioritized. our results are in strong agreement with the perceptions of production and maintenance department of the company.