Auto Motor Production Line Process Monitoring and Optimal Control System Based on Configuration Principle

Author

Li, Aiping ; Xie, Nan ; Cui, Yanwei

Author_Institution

Inst. of Adv. Manuf. Technol., Tongji Univ., Shanghai

Volume

2

fYear

0

fDate

0-0 0

Firstpage

6864

Lastpage

6868

Abstract

A novel auto motor production line control system is presented to achieve reconfiguration production that deals with quick reaction to multi-product and lots variations. Based on configuration principle, the whole system includes configuration software subsystem, workshop scheduling subsystem using Petri net-GA algorithm, process variables data collection and analysis subsystem. The configuration software is the core part to manage new production line configurations. The control system can be configured easily for the process monitoring of a given auto motor specification since reconfigurable components are modular structures. The principle and framework of the system are explained in detail, and furthermore, the example of application to SAAE Co., Ltd. is discussed that illustrates the effectivity of the proposed control system

Keywords

Petri nets; automobile industry; automobile manufacture; genetic algorithms; industrial control; optimal control; process monitoring; production control; Petri net; auto motor production line process monitoring; configuration principle; genetic algorithms; optimal control system; reconfiguration production; rough set; workshop scheduling subsystem; Algorithm design and analysis; Application software; Control systems; Data analysis; Monitoring; Optimal control; Production systems; Scheduling algorithm; Software algorithms; Software systems; Configuration principle; Control system; Process monitoring; Rough set; Scheduling;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714415

Filename

1714415