@inproceedings{594cde035b144939a467e585ca1d88a8,
title = "A model predictive control framework for robust management of multi-product, multi-echelon demand networks",
abstract = "Model Predictive Control (MPC) is presented as a robust, flexible decision framework for dynamically managing inventories and meeting customer demand in demand networks (a.k.a. supply chains). Ultimately, required safety stock levels in demand networks can be significantly reduced as a result of the performance demonstrated by the MPC approach. The translation of available information in the supply chain problem into MPC variables is demonstrated with a two-node supply chain example. A six-node, two-product, three-echelon demand network problem proposed by Intel is well managed by a partially decentralized MPC implementation under simultaneous demand forecast inaccuracies and plant-model mismatch.",
keywords = "Inventory control, Model predictive control, Supply chain management",
author = "Braun, {M. W.} and Daniel Rivera and Carlyle, {W. M.} and Kempf, {K. G.}",
note = "Publisher Copyright: Copyright {\textcopyright} 2002 IFAC.; 15th World Congress of the International Federation of Automatic Control, 2002 ; Conference date: 21-07-2002 Through 26-07-2002",
year = "2002",
doi = "10.3182/20020721-6-es-1901.01394",
language = "English (US)",
isbn = "9783902661746",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "1",
pages = "23--28",
editor = "Gabriel Ferrate and Camacho, {Eduardo F.} and Luis Basanez and {de la Puente}, {Juan. A.}",
booktitle = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
edition = "1",
}