Green Lean Six Sigma in manufacturing sector: model construction and effect prediction

What the paper says

Purpose This study aims to address the challenge of implementing Green Lean Six Sigma (GLSS) practices in the manufacturing sector. By constructing a systematic framework and structural relationship model, the study provides enterprises with actionable guidelines for sustainable operations, facilitating coordinated reduction of pollution, waste and defects. Design/methodology/approach This study used a mixed-methods approach. GLSS theories were initially integrated through a literature review, and a five-module framework with 22 key elements was then constructed based on expert insights. Next, cross-impact analysis and interpretive structural modeling were used to reveal element relationships and interactions. Finally, scenario simulations were conducted to predict effects of combinations of practices. Findings This study proposes a GLSS framework model and clarifies the dynamic interconnection mechanism among its elements. The scenario analysis results showed that the driving stage had the strongest effect on the practical outcome, whereas the implementation stage mainly affected the cost. Enterprises can choose differentiated implementation paths based on their own resource endowments to achieve coordinated improvements in environmental benefits and operational efficiency. Originality/value This research breaks through the limitations of traditional studies that predominantly focus on theoretical discussions by constructing a dedicated GLSS practice element relationship map for the manufacturing sector, revealing the interaction patterns among elements through quantitative modeling. The scenario prediction tool offers decision support for enterprises, filling a gap in the GLSS implementation methodology.