A blueprint description of production scheduling models using asset administration shells

• Published in: Production & manufacturing research Vol. 12; no. 1
• Main Authors: Gannouni, Aymen, Sapel, Patrick, Abdelrazeq, Anas, Hopmann, Christian, Schmitt, Robert H.
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 31.12.2024; Taylor & Francis Ltd; Taylor & Francis Group
• Subjects: Asset administration shell; Decision support systems; Digital shadow; FAIR model catalog; Injection molding; Optimization; Production controls; Production planning; Production scheduling; Production scheduling model
• ISSN: 2169-3277; 2169-3277
• DOI: 10.1080/21693277.2024.2324339

Production Planning and Control involves combinatorial optimization problems subject to domain-related constraints. Hence, decision-support systems are required to support operators in finding suitable production scheduling models that match the conditions on the real shopfloor. Digital Shadows were introduced to solve this task by automatically gathering suitable models and the required input data to provide decision-support. Therefore, a standard definition of production scheduling models and their grouping within a model catalog is required in the virtual world. In this contribution, we introduce an Asset Administration Shell submodel that defines production scheduling models based on Graham's three-field notation, which is independent of the underlying production process. We consider metadata, which ensures those models are FAIR, i.e. findable, accessible, interoperable, and reusable. In addition, we build a model catalog for production scheduling models in the injection molding domain as the foundation for implementing a decision-support system based on the Digital Shadows.