Simulation-based Hyperheuristic Approach for the Operative Service Delivery Planning in the Context of Product-service Systems

Following the path of Servitization and providing Product-Service Systems (PSS) have emerged as promising strategies for numerous manufacturing companies. By integrating PSS into innovative business models that prioritize use over ownership, these companies aim to gain competitive advantages and achieve continuous revenues while customers profit from mitigating high investment risks. However, to fully exploit these benefits, it is crucial to establish effective and efficient operations. Specifically, the task of operative service delivery planning to ensure the usability of the products poses challenges for many companies and presents opportunities for optimization. Despite the criticality of this task, it is still often conducted by dispatchers relying on their experiences. This paper introduces a new approach to decision support in the operative service delivery planning within the context of PSS. The proposed approach entails a hyperheuristic optimization algorithm that generates solutions integrated into a simulation model.