... 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...

...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...

... 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 ; Henriquez et al...

... Industry 4.0 COVID-19 Framework Lean Six Sigma Machine learning The coronavirus disease (COVID-19) has resulted in unprecedented effects on health-care providers and their facilities (Chauhan et al., 2021 ; Mishra et al., 2021). The direct prospective effect of COVID-19 has...