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1-4 of 4
Keywords: Machine learning
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Journal Articles
International Journal of Lean Six Sigma (2026) 17 (8): 27–55.
Published: 31 December 2025
... business value. The purpose of this study is to examine whether machine learning–based project selection frameworks can support CIP portfolio selection, identify the most accurate supervised ML algorithms, and explore the associated challenges and opportunities. Design/methodology/approach A single...
Journal Articles
International Journal of Lean Six Sigma (2025) 16 (6): 1415–1447.
Published: 12 May 2025
...Hamdia Mansour; Hanaa Abohashima; Heba Elkhouly; Nermine Harraz Purpose This study aims to develop a smart quality control framework integrating Six Sigma methodology, real-time sensing technologies and machine learning algorithms to enhance manufacturing defect prediction and process optimization...
Journal Articles
International Journal of Lean Six Sigma (2025) 16 (3): 660–685.
Published: 30 October 2024
.... Zero defect manufacturing Process mining Sustainability Triple bottom line Machine learning Quality improvement Achieving sustainability in manufacturing requires an extended view on its environmental, economic and social pillars, coined as the triple bottom line (TBL) (Can Saglam, 2023...
Journal Articles
Mahender Singh Kaswan, Rajeev Rathi, Jiju Antony, Jennifer Cross, Jose Arturo Garza-Reyes, Mahipal Singh, Inder Preet Singh, Michael Sony
International Journal of Lean Six Sigma (2024) 15 (1): 50–79.
Published: 17 July 2023
... & = AND Rajeev Rathi can be contacted at: rathi.415@gmail.com 18 11 2022 21 05 2023 24 06 2023 © Emerald Publishing Limited 2023 Emerald Publishing Limited Licensed re-use rights only Green Lean Six Sigma Industry 4.0 COVID-19 Framework Lean Six Sigma Machine learning...
