معرفی
Wilco van den Heuvel is an Associate Professor at the Econometric Institute within the Erasmus School of Economics, Erasmus University Rotterdam. His research lies at the intersection of operations research and production planning, with a focus on algorithmic solutions for lot-sizing and supply chain optimization problems.
Research Interests: His primary research interests include deterministic production planning, extensions of the economic lot-sizing model, and the development of efficient algorithms. He actively investigates integrated problems involving production, maintenance, and logistics, with increasing applications in reinforcement learning and customer-centric return systems. His work spans theoretical complexity analysis and practical implementations in real-world supply chains.
Recent Research Trends: Analysis of his recent publications reveals a strong focus on integrated optimization models, particularly combining lot sizing with maintenance and market selection. There is a growing interest in data-driven logistics, as seen in his work on hierarchical clustering and customer-to-customer returns using reinforcement learning techniques. His research consistently targets computational efficiency and scalability.
Scientific Service:
- Editorial Board Member, IISE Transactions (since June 2019)
- Editorial Board Member, Omega (United Kingdom) (since May 2014)
Advising and Research Output: He has supervised multiple research projects and co-authored a doctoral thesis on exact methods for hierarchical clustering. His research output includes over 80 contributions, with recent work published in top-tier journals such as Operations Research, European Journal of Operational Research, and Omega. He is actively involved in both theoretical and applied operations research, contributing to software implementations and real-world logistics solutions.
Collaborative Networks: His research collaborations span multiple institutions, with a strong presence in European operations research networks. His work frequently involves interdisciplinary teams focusing on supply chain innovation and computational optimization.
