Title :
Raw manufacturing data storage for hierarchical control
Author_Institution :
Ecole Nat. d´´Ingenieurs de Tarbes, France
Abstract :
The collection of the information resulting from the activity of the physical system of manufacturing workshops must facilitate real-time workshop control, but also permit the use of line statistical historics for longer term decision making. A data structure is suggested which can satisfy these two objectives when used on a great variety of production systems. The approach is based on events and states identification, then on their storage in an adequate database structure. The database structure is described with the relational formalism, and a practical example is given
Keywords :
data structures; hierarchical systems; identification; manufacturing data processing; relational databases; data structure; database structure; events identification; hierarchical control; production systems; raw manufacturing data structure; relational formalism; states identification; Control systems; Data analysis; Data structures; Decision making; Industrial relations; Manufacturing systems; Memory; Multilevel systems; Production systems; Real time systems;
Conference_Titel :
Intelligent Control, 1993., Proceedings of the 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1206-6
DOI :
10.1109/ISIC.1993.397654