Archivio Istituzionale della RicercaIn this paper, the problem of optimizing the performances of a distributed supply chain is faced by means of a decentralized architecture. In particular, a general scheme for an optimization algorithm, based on lagrangian relaxation of the precedence constraints, is presented. In this framework, the trade-off between the production cost of each node of the supply-chain and the cost of the whole network, which consists of earliness and tardiness of the received orders, is taken into account. Finally, a study case is analyzed in detail and some simulation results are presented.
Decentralized Optimization of Distributed Supply-Chain / Ghirardi, Marco; Menga, Giuseppe; Sacco, N.. - (2006), pp. 1450-1455. (Intervento presentato al convegno IEEE International conference on Robotics and Automation tenutosi a Orlando (USA) nel May 15-19, 2006).
Decentralized Optimization of Distributed Supply-Chain
GHIRARDI, MARCO;MENGA, Giuseppe;
2006
Abstract
In this paper, the problem of optimizing the performances of a distributed supply chain is faced by means of a decentralized architecture. In particular, a general scheme for an optimization algorithm, based on lagrangian relaxation of the precedence constraints, is presented. In this framework, the trade-off between the production cost of each node of the supply-chain and the cost of the whole network, which consists of earliness and tardiness of the received orders, is taken into account. Finally, a study case is analyzed in detail and some simulation results are presented.
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https://hdl.handle.net/11583/1497962
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