Ranking the Critical Failure Factors to Lean Six Sigma Implementation in Dairy Processing Industry: A Bayesian BWM Approach

Abstract

Lean Six Sigma (LSS) is a data-driven process improvement approach for waste minimization, cost-effective processing, and increasing overall performance. This study proposes a Bayesian Best Worst Method (BBWM) approach to rank critical failure factors inhibiting the implementation of Lean Six Sigma in the dairy processing industry. BBWM is an advanced Multi-Criteria Decision-Making Method (MCDM) that incorporates the subjective judgment of decision-makers to reduce the uncertainty and complexity of the decision-making process. The study is based on the Bangladeshi dairy processing industry. Four main criteria are found through an extensive literature review and experts' opinions. These four main criteria have been ranked using BBWM. Each major criteria are divided into sub-criteria which are also ranked using the same approach. This study will be helpful for further analysis of LSS applications in the dairy processing industry.