Deploying LSS in a global enterprise – project identification

Brett Marc Duarte · Douglas C. Montgomery · John Fowler · J. Konopka

58 citations0/0 files storedInternational Journal of Lean Six Sigma

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Quality and Supply Management Management and Optimization Techniques Management Systems and Quality Improvement

Abstract

Purpose The purpose of this paper is to provide Lean Six Sigma deployment champions with a structured approach to identify and prioritize parts of their business that are conducive to the Lean Six Sigma methodology. Design/methodology/approach A five‐step approach to Lean Six Sigma project identification is presented in this paper. The approach utilizes a clustering technique to group similar processes based on seven process characteristics. The clusters formed are then evaluated and prioritized for their compatibility to Lean Six Sigma. Findings The clustering approach can be applied to any industry segment, including non‐manufacturing, healthcare and financial‐based organizations. A case study is presented in this paper in which the approach is applied to an IT based company. A total of 30 percent of the business processes were found to be Lean Six Sigma conducive. Research limitations/implications The current model does not have provision to consider the current performance of a process as an evaluation criterion. This requires the deployment champion to use the model in conjunction with a Balanced Scorecard. Future research will address this limitation. Originality/value There is a general lack of a mathematical approach to enable Lean Six Sigma practitioners to identify parts of their business that are conducive to the methodology. This research attempts to bridge this gap in the literature by using an unsupervised learning approach, using a clustering algorithm, to group processes based on seven process characteristics. The cluster evaluation helps the deployment champion identify key areas within the business to focus an LSS deployment.

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References

1992Introduction to Statistical Quality Control 1999Decoding the DNA of the Toyota Production System 2002Six Sigma: a goal‐theoretic perspective 2002Critical success factors for the successful implementation of six sigma projects in organisations 2008The evolving theory of quality management: The role of Six Sigma 2008Lean, six sigma and lean sigma: fads or real process improvement methods?2008An Overview of Six Sigma 2000THE EVOLUTION OF SIX SIGMA

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