Visual programming of online systems for continuous process improvement

Author

Fraleigh, Steven ; Wilson, John

Author_Institution

Gensym Corp., Cambridge, MA, USA

fYear

1994

fDate

24-26 Aug 1994

Firstpage

1289

Abstract

In modern manufacturing environments, pursuit of total quality management and ISO-9000 compliance has lead to widespread application of online statistical process control (SPC) techniques. This paper describes a commercial knowledge-based environment that integrates online SPC with other tools for advanced process management. In addition to basic SPC functions, the environment includes visual programming support for model-based SPC, process and fault diagnosis, advice generation, and procedure enforcement. Advanced techniques such as neural networks and fuzzy logic are also directly supported. The interactive online system facilitates continuous improvement of an automated process. A detailed example of a neural network-based quality management system is presented

Keywords

fault diagnosis; interactive systems; knowledge based systems; neural nets; quality control; real-time systems; statistical process control; visual programming; ISO-9000 compliance; continuous process; fault diagnosis; interactive online system; knowledge-based system; model-based SPC; neural networks; online statistical process control; quality management system; visual programming support; Fault diagnosis; Interactive systems; Knowledge based systems; Neural networks; Process control; Quality control; Real time systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 1994., Proceedings of the Third IEEE Conference on

Conference_Location

Glasgow

Print_ISBN

0-7803-1872-2

Type

conf

DOI

10.1109/CCA.1994.381309

Filename

381309