Abstract Artificial Intelligence (AI) and Machine Learning (ML) are being used more and
more to handle complex tasks in many different areas. As a result, interconnected …

Background: In the current global market, supply chains are increasingly complex,
necessitating agile and sustainable management strategies. Traditional analytical methods …

With the galloping progress of the changing climates all around the world, Machine Learning
(ML) approaches have been prevalently studied in many types of research in this area. ML is …

This research proposes a multi-level predictive algorithm based on the k-means algorithm
with multiple adaptations. The research highlights the main limitations of k-means and …

This integrative literature review investigates the transformative impact of artificial
intelligence (AI) on supply chain management, addressing the pressing need for efficiency …

Abstract Supply Chain Management (SCM) is a critical business function that involves the
planning, coordination, and control of the flow of goods, information, and finances as they …

Abstract Fixed-Bin Selective Assembly (FBSA) is widely used to improve the assembly
quality of single units of different component types. FBSA has parts with similar dimensions …

Supply chain management (SCM) poses significant challenges in optimizing operations and
enhancing efficiency. While previous research has explored the application of machine …

The intersection of Predictive analyze machine learning (ML), and sustainable supply chain
management (SSCM) creates a dynamic and inventive link in today's quickly changing …

This study aims to examine the direct influence of green marketing on the purchase choices
of packaged drinking water (AMDK). Furthermore, the study seeks to analyze the immediate …