Browsing Departament d'Economia i Empresa by Author "Marianov, Vladimir"

Welcome to the UPF Digital Repository

Browsing Departament d'Economia i Empresa by Author "Marianov, Vladimir"

Sort by: Order: Results:

  • Marianov, Vladimir; Serra, Daniel (2000)
    In this paper we address the issue of locating hierarchical facilities in the presence of congestion. Two hierarchical models are presented, where lower level servers attend requests first, and then, some of the served ...
  • Marianov, Vladimir; Serra, Daniel (2000)
    Models are presented for the optimal location of hubs in airline networks, that take into consideration the congestion effects. Hubs, which are the most congested airports, are modeled as M/D/c queuing systems, that is, ...
  • Marianov, Vladimir; Serra, Daniel (2004)
    The past four decades have witnessed an explosive growth in the field of networkbased facility location modeling. This is not at all surprising since location policy is one of the most profitable areas of applied systems ...
  • Marianov, Vladimir; Serra, Daniel; Revelle, Charles (1997)
    We offer a formulation that locates hubs on a network in a competitive environment; that is, customer capture is sought, which happens whenever the location of a new hub results in a reduction of the current cost (time, ...
  • Marianov, Vladimir; Serra, Daniel (2009)
    The P-median problem is a classical location model “par excellence”. In this paper we, first examine the early origins of the problem, formulated independently by Louis Hakimi and Charles ReVelle, two of the fathers of the ...
  • Marianov, Vladimir; Serra, Daniel (1996)
    When dealing with the design of service networks, such as health and EMS services, banking or distributed ticket selling services, the location of service centers has a strong influence on the congestion at each of them, ...
  • Marianov, Vladimir; Serra, Daniel (1994)
  • Serra, Daniel; Marianov, Vladimir (1996)
    In this paper a p--median--like model is formulated to address the issue of locating new facilities when there is uncertainty. Several possible future scenarios with respect to demand and/or the travel times/distance parameters ...

Search


Advanced Search

Browse

My Account