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Séance WA8 - Logistique urbaine / City Logistics

Jour mercredi, le 06 mai 2009
Salle Hélène-Desmarais
Président Fausto Errico

Présentations

10h30-
10h55
Models to Design and Evaluate City Logistics Systems
  Teodor Gabriel Crainic, Université du Québec à Montréal, C.P. 8888, Succ. Centre-ville, Montréal, Québec, Canada, H3C 3P8

We review the requirements to design, plan, and evaluate City Logitics systems. We focus on the physical design of two-tier systems: locating the various types of facilities and selecting, eventually, the access network, while accounting for the routing activities taking place at the two levels of the system. We identify problem settings, present models, and discuss algorithmic perspectives.


10h55-
11h20
Routing City Freighters in Two-Tier City Logistics Systems
  Yuvraj Gajpal, CIRRELT, C.P. 6128, succursale Centre-ville, Montreal, Quebec, Canada, H3C 3J7
Teodor Gabriel Crainic, Université du Québec à Montréal, C.P. 8888, Succ. Centre-ville, Montréal, Québec, Canada, H3C 3P8
Michel Gendreau, Université de Montréal, Informatique et recherche opérationnelle, Succ. Centre-ville, Montréal, Québec, Canada, H3C 3J7

In two-tier City Logistics systems, two types of facilities are used: City Distribution Centers and satellite platforms. In this paper, we focus on the problem of routing city freighters, the vehicles that move goods between satellites and final customers, which involves the combination of several routes from different satellites. We propose decomposition-based heuristics to solve the problem.


11h20-
11h45
Integrating Intra-City Movements into Two-Tier City Logistics Planning
  Fausto Errico, Université du Québec à Montréal, CIRRELT, Montreal, QC, Canada
Teodor Gabriel Crainic, Université du Québec à Montréal, C.P. 8888, Succ. Centre-ville, Montréal, Québec, Canada, H3C 3P8

In two-tier City Logistics we consider freight transportation demand with origin and destination located in the city itself, bringing in this way elements of uncertainty in the Day Before Planning problem. We address this more complex problem by enriching an already proposed hierarchical problem decomposition with a new decision level and solving it by a sampling-based method


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