Abstract

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.

Highlights

  • Companies are continuously facing the resistance to settle into the ever changing technological environment

  • 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 brainstorming session with decision makers like machine operators, maintenance experts, production manager, technical and financial experts etc.; we concluded that selection of the critical factors of breakdowns in CLG’s depends on six criteria as discussed in ‘‘Evaluation criteria’’ section and these are illustrated in level C of the Fig. 3 as attributes/impacts

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Summary

Introduction

Companies are continuously facing the resistance to settle into the ever changing technological environment. Six Sigma has been recognized for many years as an efficient strategy and has helped several companies to rise to this challenge This is one of the most important and popular developments in the field of process improvement. Six Sigma has gone through a considerable evolution since the early exposition It was a quality improvement methodology based on statistical concepts. It is a commanding strategy that employs a regimented approach to undertake process variability using the application of statistical and non-statistical tools and techniques in an accurate way (Jiju 2004). This teaches everyone in the organization to become more effective and efficient (Eckes 2003).

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