This article delves into the challenging supply chain management domain, explicitly
addressing the intricate issue of perishable inventory allocation within a two-echelon supply …

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 study addresses the optimal inventory management problem for new smartphone
products as an effective example of a supply chain with a short product life cycle. The …

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

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 …

This paper describes the application of reinforcement learning (RL) to multi-product
inventory management in supply chains. The problem description and solution are both …

Problem definition: The beer game is widely used in supply chain management classes to
demonstrate the bullwhip effect and the importance of supply chain coordination. The game …

Is Deep Reinforcement Learning (DRL) effective at solving inventory problems? Given that
DRL has successfully been applied in computer games and robotics, supply chain …

Determining optimum inventory replenishment decisions are critical for retail businesses
with uncertain demand. The problem becomes particularly challenging when multiple …

Firms currently operate in highly competitive scenarios, where the environmental conditions
evolve over time. Many factors intervene simultaneously and their hard-to-interpret …