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ICRA
2006
IEEE

Decentralized Optimization of Distributed Supply-chain

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Decentralized Optimization of Distributed Supply-chain
— 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.
Marco Ghirardi, Giuseppe Menga, Nicola Sacco
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICRA
Authors Marco Ghirardi, Giuseppe Menga, Nicola Sacco
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