Neurally inspired models for adaptive CIM architectures

Author

Calderini, M. ; Cantamessa, M.

Author_Institution

Dipartimento de Sistemi di Produzione e di Econ. dell´´Azienda, Torino Univ., Italy

fYear

1993

fDate

17-20 Oct 1993

Firstpage

174

Abstract

A number of different CIM architectures have been proposed by several researchers, all aiming at the easiest and most efficient integration of different sectors of manufacturing activities. Allowing such architectures to adapt over time, following short and long-term modifications in information flow in the organization remains however an unaddressed (and very complex indeed) problem. In this paper the dynamic modelling and management of a network of decision-makers involved in manufacturing is attempted through the use of connectionist paradigms

Keywords

adaptive systems; computer integrated manufacturing; computer network management; neural nets; production control; adaptive CIM architectures; connectionist paradigms; dynamic modelling; information flow; manufacturing activities; network management; neural nets; Computer aided manufacturing; Computer integrated manufacturing; Computer network management; Flow production systems; Hardware; Modems; Organizational aspects; Pulp manufacturing; Total quality management; Virtual manufacturing;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on

Conference_Location

Le Touquet

Print_ISBN

0-7803-0911-1

Type

conf

DOI

10.1109/ICSMC.1993.384867

Filename

384867