Abstract
This paper develops a formal framework, founded on description logics, to assist decision making in relation to the manufacturing operation and control in modern enterprises that stand to benefit from the transition to Industry 4.0. The objective is to provide sophisticated support to individuals making decisions in the area of production operations management and in particular, production scheduling and material requirements planning. Using this framework, this paper demonstrates an approach to encode the domain knowledge of human experts managing the production as sets of formal rules. These rules can be implemented in an intelligent system that can assist and empower human experts, reducing difficulty when making decisions in complex manufacturing environments.
| Original language | Undefined |
|---|---|
| Pages (from-to) | 4888-4899 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Industrial Informatics |
| Volume | 15 |
| Issue number | 9 |
| Early online date | 13 May 2019 |
| DOIs | |
| Publication status | Published - 1 Sept 2019 |
Keywords
- decision making
- description logic
- intelligent manufacturing systems
- knowledge based systems
- materials requirements planning
- production control
- production engineering computing
- production facilities
- scheduling
- description logics
- Industry 4.0 smart factories
- manufacturing operation
- production operations management
- production scheduling
- material requirements planning
- rule-based approach
- intelligent system
- Cognition
- Ontologies
- Manufacturing
- Intelligent systems
- Job shop scheduling
- Decision making
- Description logics
- Industry 4.0
- industrial production modelling
