Reducing bullwhip effect using delayed generalized predictive control (DGPC)

This source preferred by Hongnian Yu and Shuang Cang

This data was imported from DBLP:

Authors: Yu, H., Gomma, H., Cang, S., Chen, W. and Yusuf, Y.

http://www.informatik.uni-trier.de/~ley/db/conf/smc/smc2004.html

Journal: SMC (2)

Pages: 1510-1515

Publisher: IEEE

DOI: 10.1109/ICSMC.2004.1399845

This data was imported from Scopus:

Authors: Yu, H., Gomma, H., Chen, W., Cang, S. and Yusuf, Y.

Journal: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volume: 2

Pages: 1510-1515

ISSN: 1062-922X

DOI: 10.1109/ICSMC.2004.1399845

In supply chains, the phenomenon of bullwhip effect (the variance amplification of order quantities observed in supply chain) has received a considerable attention by both theoretical researchers and practioners as it leads to tremendous losses and poor customer services. This paper introduces a new control engineering technique called delayed generalized predictive control (DGPC) method proposed by one of authors in control of the gas turbine engine. The proposed method can reduce bullwhip effect. This would help the decision makers in supply chains to reduce the negative consequences of the bullwhip effect. © 2004 IEEE.

This data was imported from Web of Science (Lite):

Authors: Yu, H., Gomma, H., Cang, S., Chen, W.D., Yusuf, Y. and IEEE

Journal: 2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7

Pages: 1510-1515

ISSN: 1062-922X

The data on this page was last updated at 04:46 on November 24, 2017.