A Model Predictive Control framework for robust management of multi-product, multi-echelon demand networks-Reference-Cited by-同舟云学术

A Model Predictive Control framework for robust management of multi-product, multi-echelon demand networks

Published:2003-01 Issue:2 Volume:27 Page:229-245
ISSN:1367-5788
Container-title:Annual Reviews in Control
language:en
Short-container-title:Annual Reviews in Control

Author:

Braun M.W.,Rivera D.E.,Flores M.E.,Carlyle W.M.,Kempf K.G.

Publisher

Elsevier BV

Subject

Control and Systems Engineering,Software

Reference11 articles.

1. Armbruster, D., Chidambaram, R., Godding, G., Kempf, K. G., & Katzorke, I. (2001, August). Modeling and analysis of decision flows in complex supply networks (pp. 1106–1114). Proceedings of IV SIMPOI/POMS 2001. Guaruja, Brazil.

2. Bodington, C. E., & Shobrys, D. E. (1999). Optimize the supply chain. In: L. A. Kane (Ed.), Advanced process control and information systems for the process industries (pp. 236–240). Houston, TX: Gulf Publishing Company.

3. Kafoglis, C. C. (1999). Maximize competitive advantage with a supply chain vision. Hydrocarbon Processing, 47–50.

4. Kapsiotis, G., & Tzafestas, S. (1992). Decision making for inventory/production planning using model-based predictive control. In: S. Tzafestas, P. Borne, & L. Grandinetti (Eds.), Parallel and distributed computing in engineering systems (pp. 551–556). Amsterdam: Elsevier.

5. Kempf, K., Knutson, K., Armbruster, B., Babu, P., & Duarte, B. (2001, April). Fast accurate simulation of physical flows in demand networks. Advanced simulation technologies conference (pp. 111–116). Seattle, WA: The Society for Computer Simulation International.

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