Select a winning Lean Six Sigma 4.0 project: Best Worst Method based decision making approach

Abstract

Manufacturers are adopting Lean Six Sigma4.0 (LSS4.0) to improve their operations. However, poor project selection results in substantial losses. The aim of this study is to provide a framework for LSS4.0 project selection in an industrial context using the Best-Worst-Method (BWM)-based ‘multi-criteria decision making’ (MCDM) technique. First, 25 project selection criteria were pre-selected using a literature review and expert opinions. All criteria were then grouped into six different dimensions, closely related to the LSS4.0 principles, based on expert opinion and similarity with literature findings. To finalize the selection, a rigorous evaluation is undertaken using corrected item-total correlation (CIMTC) and importance index analysis methods, resulting in a final set of 22 project selection criteria, prioritized using BWM. The practical applicability of this method is demonstrated by a case study in a Moroccan manufacturing context. Operational and technical feasibility, strategic orientation, finance and business development emerged as top priorities. This research can help senior managers make informed choices about projects and recognize potential in uncertain scenarios.