A Big Data Analytics-driven Lean Six Sigma framework for enhanced green performance: a case study of chemical company

• Published in: Production planning & control Vol. 34; no. 9; pp. 767 - 790
• Main Authors: Belhadi, Amine, Kamble, Sachin S., Gunasekaran, Angappa, Zkik, Karim, M., Dileep Kumar, Touriki, Fatima Ezahra
• Format: Journal Article
• Language: English
• Published: London Taylor & Francis 04.07.2023; Taylor & Francis LLC
• Subjects: Big Data; Big Data Analytics; case study; chemical sector; Data analysis; Environmental management; green performance; Inspection; Lean Six Sigma; New technology; Predictive maintenance; Quality control; Six Sigma

The advent of new technologies alongside the generation of the vast amount of data in the manufacturing processes makes Green Lean Six Sigma (GLSS) approaches very challenging. This paper presents a novel framework termed 'BDA-GLSS' that guides companies to effectively integrate Big Data A...