Integer tree-based search and mixed-integer optimal control of distribution chains (Contributo in atti di convegno)

Type

• Contributo in atti di convegno (Classe)
• Prodotto della ricerca (Classe)

Label

• Integer tree-based search and mixed-integer optimal control of distribution chains (Contributo in atti di convegno) (literal)

Anno

• 2011-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1109/CDC.2011.6160626 (literal)

Alternative label

• A. Alessandri; M. Gaggero; F. Tonelli (2011)
  Integer tree-based search and mixed-integer optimal control of distribution chains
  in 50th IEEE Conference of Decision and Control, Orlando (USA), 12-15 December 2011
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• A. Alessandri; M. Gaggero; F. Tonelli (literal)

Pagina inizio

• 489 (literal)

Pagina fine

• 494 (literal)

Rivista

• Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes (Rivista)

Note

• ISI Web of Science (WOS) (literal)
• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• 1. Department of Production Engi- neering, Thermoenergetics, and Mathematical Models, University of Genoa, Italy 2. Institute of Intelligent Systems for Automation, National Research Council of Italy, Italy 3. Department of Production Engi- neering, Thermoenergetics, and Mathematical Models, University of Genoa, Italy (literal)

Titolo

• Integer tree-based search and mixed-integer optimal control of distribution chains (literal)

Abstract

• The use of integer tree-based search and mixed- integer programming is investigated for the purpose of control of multi-item multi-echelon distribution chains. A discrete-time model is considered to describe the dynamics of a generic distribution chain. The decisions on the amounts of goods to transfer are made by referring to a performance index that accounts for transportation, storage, and backlog costs at two levels, i.e., strategic and tactical. As to the strategic level, a worst-case stock replenishment policy is adopted to exploit the uncertain information available on long-term predictions of the customers' demand. The solution of such a problem is obtained by using a top-down tree-based algorithm to select policy parameters such as the delivery cycle times of goods. At the tactical level, the on-line decisions on the transportation of goods are taken basing on model predictive control, which allows one to take into account recent, reliable, short-term predictions of the demand. The tactical optimal decisions are obtained by solving mixed-integer programming problems with fewer variables as compared with the strategic setting. Simulation results are presented to show the effectiveness of the proposed approach. (literal)

Editore

• IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE (Editore)

Prodotto di

• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Monitoraggio, Controllo e ottimizzazione di impianti e sistemi complessi (SP.P06.010.001) (Modulo)

Autore CNR

• MAURO GAGGERO (Persona)

Incoming links:

Prodotto

• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Monitoraggio, Controllo e ottimizzazione di impianti e sistemi complessi (SP.P06.010.001) (Modulo)

Autore CNR di

• MAURO GAGGERO (Persona)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes (Rivista)

Editore di

• IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE (Editore)