Decision-making in supply chains is challenged by high complexity, a combination of
continuous and discrete processes, integrated and interdependent operations, dynamics …

Today's supply chains are very different from those of just a few years ago, and they
continue to evolve within an extremely competitive economy. Dynamic supply chain …

With advances in technologies, data science techniques, and computing equipment, there
has been rapidly increasing interest in the applications of reinforcement learning (RL) to …

Today, companies that want to keep up with technological development and globalization
must be able to effectively manage their supply chains to achieve high quality, increased …

Driven by the ongoing migration towards Industry 4.0, the increasing adoption of artificial
intelligence (AI) has empowered smart manufacturing and digital transformation. AI …

Discrete event simulation (DES) and system dynamics (SD) are two modelling approaches
widely used as decision support tools in logistics and supply chain management (LSCM). A …

Practitioners face two significant issues: product inaccuracy and transparency in supply
chain management. Blockchain is a highly secure and trustworthy means of storing data …

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

This study develops intelligent inventory management (IIM) approaches for managing
perishable pharmaceutical products in a healthcare supply chain consisting of multiple …

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