The Role of the Artificial Intelligence Application on Waste Reduction in Factories Productivity

Abstract

Purpose – this study is to empirically examine the influence of AI applications on waste reduction and then productivity in manufacturing settings.
Design/methodology/approach – This study adopts a quantitative research design by utilizing a research model based on the resource-based view (Supply chain management theory) theory. A total of 100 employees working in different factories were surveyed and data was analyzed through the use SPSS software, to determine the association between AI applications, waste management practices and productivity related factors.
Findings – Artificial Intelligence is positively related to Waste Management. Waste Management is positively related to Factories Productivity. Factories Productivity is positively related to Artificial Intelligence.
Practical implications – The findings provide useful guidelines for factory managers and decision-makers.
Originality/value – This research offers a new viewpoint on the relationships among AI applications, waste management, and productivity in a manufacturing environment. Which stresses the need for factories to use AI as an intelligent weapon to reduce waste and improve production efficiency.