Publicaties
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Breaking truck dominance in supply chains: Proactive freight consolidation and modal split transport KU Leuven
Empirical Risk Assessment of Maintenance Costs under Full-service Contracts KU Leuven
We provide a data-driven framework to conduct a risk assessment, including data pre-processing, exploration, and statistical modeling, on a portfolio of full-service maintenance contracts. These contracts cover all maintenance-related costs for a fixed, upfront fee during a predetermined horizon. Charging each contract a price proportional to its risk prevents adverse selection by incentivizing low risk (i.e., maintenance-light) profiles to not ...
A dynamic “predict, then optimize” preventive maintenance approach using operational intervention data KU Leuven Vlerick Business School
The Joint Replenishment Problem: Optimal Policy and Exact Evaluation Method KU Leuven Vlerick Business School
Transfer learning for hierarchical forecasting: Reducing computational efforts of M5 winning methods KU Leuven Vlerick Business School
A joint replenishment production-inventory model as an MMAP[K]/PH[K]/1 queue KU Leuven Vlerick Business School Universiteit Antwerpen
Can Deep Reinforcement Learning Improve Inventory Management? Performance on Lost Sales, Dual Sourcing and Multi-Echelon Problems KU Leuven Vlerick Business School
Deep reinforcement learning for inventory control: a roadmap KU Leuven Vlerick Business School
Deep reinforcement learning (DRL) has shown great potential for sequential decision-making, including early developments in inventory control. Yet, the abundance of choices that come with designing a DRL algorithm, combined with the intense computational effort to tune and evaluate each choice, may hamper their application in practice. This paper describes the key design choices of DRL algorithms to facilitate their implementation in inventory ...