5 papers
Discovery of Decision Synchronization Patterns from Event Logs
Tijmen Kuijpers, Karolin Winter, Remco Dijkman
Synchronizing decisions between running cases in business processes facilitates fair and efficient use of resources, helps prioritize the most valuable cases, and prevents unnecess…
A Universal Approach to Feature Representation in Dynamic Task Assignment Problems
Riccardo Lo Bianco, Remco Dijkman, Wim Nuijten +1
Dynamic task assignment concerns the optimal assignment of resources to tasks in a business process. Recently, Deep Reinforcement Learning (DRL) has been proposed as the state of t…
GymPN: A Library for Decision-Making in Process Management Systems
Riccardo Lo Bianco, Willem van Jaarsveld, Remco Dijkman
Process management systems support key decisions about the way work is allocated in organizations. This includes decisions on which task to perform next, when to execute the task,…
Deep Controlled Learning for Inventory Control
Tarkan Temizöz, Christina Imdahl, Remco Dijkman +2
The application of Deep Reinforcement Learning (DRL) to inventory management is an emerging field. However, traditional DRL algorithms, originally developed for diverse domains suc…
Learning policies for resource allocation in business processes
J. Middelhuis, R. Lo Bianco, E. Scherzer +3
Efficient allocation of resources to activities is pivotal in executing business processes but remains challenging. While resource allocation methodologies are well-established in…