In the Industry 4.0 era, Supply Chain Management (SCM) is being transformed by digitalization and advanced analytics, with Machine Learning (ML) emerging as a pivotal driver of efficiency, resilience, and intelligent decision-making. This study reviews ML applications across major SCM domains,...

To gain additional competitive advantages in the digital economy, supply chain links need to continuously improve management theory and methodology based on the development and implementation of decisions characterized by minimal loss of profits. This problem can be eliminated through the...

The global aviation logistics network, a critical artery for high-value and time-sensitive supply chains, exhibits significant vulnerability to disruptive shocks. Traditional risk management models, often static and linear, fail to capture the dynamic, non-linear, and cascading nature of such...

To sustain competitiveness, companies continuously improve quality, productivity, and customer satisfaction, with Lean Six Sigma recognized as a key methodology for driving enduring operational excellence. This study examines the implementation of Lean Six Sigma (LSS) in machining operations,...

This paper develops a comprehensive fuzzy economic order quantity (EOQ) model that incorporates deterioration, inflation, and shortage under a full-fuzzy decision-making environment. Unlike classical EOQ formulations that rely on precise parameter values, the proposed approach represents all...