Intelligent organization for flexible manufacturing

Author

Varvatsoulakis, M.N. ; Saridis, G.N. ; Paraskevopulos, P.N.

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece

Volume

16

Issue

2

fYear

2000

fDate

4/1/2000 12:00:00 AM

Firstpage

180

Lastpage

189

Abstract

Intelligent production scheduling has been viewed as a problem-solving task that involves the generation of a suitable schedule among different ones using learning techniques. This work presents a unified model for a class of intelligent machines, suitable for flexible manufacturing systems, in which each alternative production plan comprises a fixed number of sequential steps, and the task is to select the optimal plan as more experience is obtained during the operation of the system. This model, based on the theory of hierarchically intelligent control systems developed by Saridis (1995), combines the powerful high-level decision making with advanced mathematical modeling and synthesis techniques of system theory and methods of dealing with imprecise or incomplete environment information

Keywords

computer aided production planning; discrete event systems; flexible manufacturing systems; intelligent control; learning systems; production control; discrete event systems; flexible manufacturing systems; intelligent control; intelligent scheduling; learning techniques; production control; production planning; Control system synthesis; Decision making; Flexible manufacturing systems; Intelligent control; Job shop scheduling; Learning systems; Mathematical model; Power system modeling; Problem-solving; Production systems;

fLanguage

English

Journal_Title

Robotics and Automation, IEEE Transactions on

Publisher

ieee

ISSN

1042-296X

Type

jour

DOI

10.1109/70.843174

Filename

843174