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Prioritizing Lean Six Sigma Efforts Using Bayesian Networks

Prioritizing Lean Six Sigma Efforts Using Bayesian Networks

Yanzhen Li, Rapinder S. Sawhney, Joseph H. Wilck IV
Copyright: © 2014 |Pages: 15
ISBN13: 9781466659582|ISBN10: 1466659580|EISBN13: 9781466659599
DOI: 10.4018/978-1-4666-5958-2.ch005
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MLA

Li, Yanzhen, et al. "Prioritizing Lean Six Sigma Efforts Using Bayesian Networks." Analytical Approaches to Strategic Decision-Making: Interdisciplinary Considerations, edited by Madjid Tavana, IGI Global, 2014, pp. 77-91. https://doi.org/10.4018/978-1-4666-5958-2.ch005

APA

Li, Y., Sawhney, R. S., & Wilck IV, J. H. (2014). Prioritizing Lean Six Sigma Efforts Using Bayesian Networks. In M. Tavana (Ed.), Analytical Approaches to Strategic Decision-Making: Interdisciplinary Considerations (pp. 77-91). IGI Global. https://doi.org/10.4018/978-1-4666-5958-2.ch005

Chicago

Li, Yanzhen, Rapinder S. Sawhney, and Joseph H. Wilck IV. "Prioritizing Lean Six Sigma Efforts Using Bayesian Networks." In Analytical Approaches to Strategic Decision-Making: Interdisciplinary Considerations, edited by Madjid Tavana, 77-91. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-5958-2.ch005

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Abstract

In order to retain competitive advantages, many manufacturing organizations have applied Lean Six Sigma techniques to improve production processes. The general approach for implementing Lean Six Sigma is to perform various projects to tackle specific problems or areas. However, with the manufacturing system and its external environment becoming more and more complex, it is simply not possible to solve all the problems given the limited resources. The purpose of this chapter is to develop a model that provides a systematic evaluation for potential opportunities to enhance the effectiveness of Lean Six Sigma. Deriving from the Bayesian Network methodology, the proposed model combines a graphical approach to represent cause-and-effect relationships between events of interests and probabilistic inference to estimate their likelihoods in the area of process improvement. The developed model can be used for assessing the problems associated with Lean Six Sigma initiatives and prioritizing efforts to solve these problems.

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