FLOUE

Facility location optimization under disruption and in an uncertain environment

 Coordinatore FUNDACION ZARAGOZA LOGISTICS CENTER 

 Organization address address: CALLE BARI 55 BLOQUE 5
city: ZARAGOZA
postcode: 50197

contact info
Titolo: Ms.
Nome: Jeanett
Cognome: Bolther
Email: send email
Telefono: 34976077603
Fax: 34976077601

 Nazionalità Coordinatore Spain [ES]
 Totale costo 69˙714 €
 EC contributo 69˙714 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2010-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-01-16   -   2013-01-15

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    FUNDACION ZARAGOZA LOGISTICS CENTER

 Organization address address: CALLE BARI 55 BLOQUE 5
city: ZARAGOZA
postcode: 50197

contact info
Titolo: Ms.
Nome: Jeanett
Cognome: Bolther
Email: send email
Telefono: 34976077603
Fax: 34976077601

ES (ZARAGOZA) coordinator 69˙714.00

Mappa

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 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

location    network    algorithms    problem    facility    deterministic    sites    demands    customer    facilities    customers    decision    disruptions    optimization    services    logistic    first    capacities    satisfy   

 Obiettivo del progetto (Objective)

'Facility location optimization is an optimization problem in operations research, particularly in network design decisions in the supply chain. In it most standard form (the Uncapacited Facility Location Problem), the problem can be stated as follows. Given some facilities, with known capacities (possibly infinite), some candidate sites, and customer demands, the problem consists in locating facilities on sites and assigning customers in such a way to satisfy all demands, without exceeding capacities, and at minimal fixed and variable costs. It is assumed that the decision problem occurs in some deterministic and reliable conditions. The customer demands and different costs are predictable, and facilities are so reliable that customers always get the service. Over the life of a logistic network, some services, transportation links, demands and costs, may experience disruptions or fluctuations. Thus, a network design that looks very good taking into account deterministic evaluation may be quite poor if the situation were to change. Our first purpose is to propose a “new” mathematical model for optimal location subject to disruptions on services. We first analyze the case of unlimited capacities and move to the limited capacities case. As a corollary, we examine the problem of optimally sizing safety capacity to satisfy additional demands. Finally, the failure aspects will be considered jointly with uncertainty on demands and costs. The general aim is to propose, for each problem, models, solution methods and algorithms that may be used by managers in designing logistic network taking into account uncertainties both on facilities availability, and on demands and costs. The theoretical and algorithmic elements that will be developed may be the backgrounds of a network design decision-aid software for network design with uncertainties. A prototype of such type of application will be developed to demonstrate the quality of our approach and to test various algorithms.'

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