Today's supply chain is becoming complex and fragile. Hence, supply chain managers need
to create and unlock the value of the smart supply chain. A smart supply chain requires …

We are concerned with the interaction and integration between demand forecasting and
inventory control, in the context of supply chain operations. The majority of the literature is …

Problem definition: Is deep reinforcement learning (DRL) effective at solving inventory
problems? Academic/practical relevance: Given that DRL has successfully been applied in …

The circular economy is gaining momentum in political and academic agendas. However,
little is empirically known about circular economy supply network configurations, dynamics …

Drug shortage is always a critical issue of inventory management in healthcare systems
since it potentially invokes several negative impacts. In supply chain management …

Inevitable disruptions and undesired environmental effects perturb food supply chains and
meat supply chains. Academics and practitioners need to simultaneously incorporate …

Abstract The One-Warehouse Multi-Retailer (OWMR) system is the prototypical distribution
and inventory system. Many OWMR variants exist, eg demand in excess of supply may be …

The fast growth of e-commerce and omni/multi-channel retailing brings new challenges for
efficient inventory management. One such challenge concerns service differentiation across …

We introduce a novel heuristic designed to address the supply chain inventory management
problem in the context of a two-echelon divergent supply chain. The proposed heuristic …

This paper reviews the literature on inventory models with multiple sourcing options and
presents a typology for classification. By means of the classification, the progression of the …