Robert Boute

Professor

Flanders Make (Belgium)

Belgium

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Professor Robert Boute is affiliated with Flanders Make in Belgium. His research interests encompass maintenance optimization, inventory management, and the application of artificial intelligence in operational research. Recent publications include work on data-driven preventive maintenance strategies and dual sourcing under non-stationary demand. He is recognized for contributions to forecasting and inventory control in various operational contexts.

Articles (16)

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2025

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (11)

Bart Baesens

University of Southampton

UNITED KINGDOM

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Koen De Bock

Full professor of marketing analytics & digital marketing

Audencia Business School

FRANCE

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Joachim Arts

LUXEMBOURG

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Stefan Creemers

UCLouvain

BELGIUM

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Heletje van Staden

Assistant Professor

Dublin City University

IRELAND

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Stephen Disney

Professor

University of Exeter

UNITED KINGDOM

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Rob Basten

Professor at Eindhoven University of Technology

Eindhoven University of Technology

NETHERLANDS

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Dursun Delen

Regents Professor

UNITED STATES

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Jan A. Van Mieghem

Northwestern University

UNITED STATES

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Joren Gijsbrechts

Universitat Ramon Llull

SPAIN

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Bram De Moor

Eindhoven University of Technology

NETHERLANDS

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Robert Boute

Research Interests

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About

Articles (16)

Synchromodal replenishment under non-stationary demand: An illustrative case study

Fifty years of maintenance optimization: Reflections and perspectives

Dual sourcing under non-stationary demand and partial observability

Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda

Supervised learning for integrated forecasting and inventory control

Simplifying tree-based methods for retail sales forecasting with explanatory variables

Optimal robust inventory management with volume flexibility: Matching capacity and demand with the lookahead peak‐shaving policya

Data-driven preventive maintenance for a heterogeneous machine portfolio

Empirical risk assessment of maintenance costs under full-service contracts

Game—How to Share the Gains of Collaboration?

Volume flexibility at responsive suppliers in reshoring decisions: Analysis of a dual sourcing inventory model

Reward shaping to improve the performance of deep reinforcement learning in perishable inventory management

Can Deep Reinforcement Learning Improve Inventory Management? Performance on Lost Sales, Dual-Sourcing, and Multi-Echelon Problems

A dynamic “predict, then optimize” preventive maintenance approach using operational intervention data

The joint replenishment problem: Optimal policy and exact evaluation method

Transfer learning for hierarchical forecasting: Reducing computational efforts of M5 winning methods

Collaborators (11)

Bart Baesens

Koen De Bock

Joachim Arts

Stefan Creemers

Heletje van Staden

Stephen Disney

Rob Basten

Dursun Delen

Jan A. Van Mieghem

Joren Gijsbrechts

Bram De Moor

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