Enhancing Lean Sustainability via Bayesian Network Techniques
Yanzhen Li, Gagan Rajpal, Rapinder Singh Sawhney, Xueping Li · 2009
With the manufacturing system and its external environment becoming more and more complex, a great range of risk factors could affect the sustainability of Lean implementation. The purpose of this study is to develop a risk assessment model to systematically evaluate the potential risks and enhance the implementation of Lean initiatives. Deriving from the Bayesian Network (BN) methodology, the proposed model combines graphical approach to represent cause-and-effect relationships between events of interests and probabilistic inference to estimate their likelihoods. The model can be used for assessing the risks associated with Lean initiatives and prioritizing efforts to minimize the potential risks.