학술논문

Simulation-based Hyperheuristic Approach for the Operative Service Delivery Planning in the Context of Product-service Systems
Document Type
Conference
Source
2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Industrial Engineering and Engineering Management (IEEM), 2023 IEEE International Conference on. :1235-1239 Dec, 2023
Subject
Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Transportation
Companies
Planning
Manufacturing
Task analysis
Usability
Optimization
Investment
Product-Service Systems
operative service delivery planning
Hyperheuristic optimization
simulation
Language
Abstract
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.