Title :
Decentralized optimization of distributed supply-chain
Author :
Ghirardi, Marco ; Menga, Giuseppe ; Sacco, Nicola
Author_Institution :
Dept. of Control & Comput. Sci., Politecnico di Torino, Turin
Abstract :
In this paper, the problem of optimizing the performances of a distributed supply chain is faced by means of as decentralized architecture. In particular, a general scheme for an Lagrangian 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
Keywords :
multivariable systems; process control; production engineering computing; supply chain management; supply chains; Lagrangian algorithm; decentralized optimization; distributed supply-chain; production cost; Costs; Decision making; Distributed algorithms; Lagrangian functions; Manufacturing automation; Production facilities; Production systems; Robotics and automation; Supply chains; Transportation;
Conference_Titel :
Robotics and Automation, 2006. ICRA 2006. Proceedings 2006 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-9505-0
DOI :
10.1109/ROBOT.2006.1641913
