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.

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.
2006
0780395050
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/1497962
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