Preprint Open Access
Kavakli, Evangelia; Buenabad-Chavez, Jorge; Tountopoulos, Vassillis; Loucopoulos, Pericles; Sakellariou, Rizos
Data-driven decision making is at the core of Industry 4.0. This paper describes the specification of a conceptual architecture of a smart system for supporting decision making in the context of disruptive events in manufacturing operations. Following a viewpoint-oriented approach, the proposed architecture identifies the functional components that facilitate decision making and establishes the interfaces between them, demonstrates the information flow within the manufacturing ecosystem for vertical / horizontal integration and establishes the mapping of the functional components to different software containers, execution environments and physical devices.
Name | Size | |
---|---|---|
Industry4.0-architecture.pdf
md5:1aeb7907fcd626c700d99e6875ec1131 |
1.2 MB | Download |
All versions | This version | |
---|---|---|
Views | 31 | 31 |
Downloads | 142 | 142 |
Data volume | 171.5 MB | 171.5 MB |
Unique views | 31 | 31 |
Unique downloads | 141 | 141 |