Application of Control Algorithms and Statistical Methods for Work-in-Progress Management in Discrete Production Systems

Abstract:

Article Preview

A new kind of work-in-progress control system (I-WCS) is proposed, in which two control algorithms, the proportional & integral control (PI) and the statistical process control (SPC) are integrated to maintain a reasonable amount of work-in-progress (WIP) in discrete manufacturing systems. Taking the production line of certain motorcycle engines’ crankcases as an example, its I-WCS system is proposed. It consists of two integrated controllers, which are able to collect real-time production data, draw Shewhart control charts, and get these charts analyzed and acquire real production scheduling schemes. Simulation results show that I-WCS can maintain lower and steadier WIP in production lines so as to improve the ability of on-time delivery.

Info:

Periodical:

Materials Science Forum (Volumes 626-627)

Edited by:

Dongming Guo, Jun Wang, Zhenyuan Jia, Renke Kang, Hang Gao, and Xuyue Wang

Pages:

723-728

DOI:

10.4028/www.scientific.net/MSF.626-627.723

Citation:

C.F. Guo and C.X. Gu, "Application of Control Algorithms and Statistical Methods for Work-in-Progress Management in Discrete Production Systems", Materials Science Forum, Vols. 626-627, pp. 723-728, 2009

Online since:

August 2009

Authors:

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.