Journées de l'optimisation 2019
HEC Montréal, 13-15 mai 2019
JOPT2019
HEC Montréal, 13 — 15 mai 2019
MD11 Transportation
13 mai 2019 15h30 – 17h10
Salle: TAL Gestion globale d'actifs inc.
Présidée par Patrick Munroe
4 présentations
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15h30 - 15h55
Optimization models for planning transit stop and service patterns operation
Abstract: This study focuses on limited-stop and semi-express transit service operations. The development of strategies is performed in two steps: optimization and simulation. New mathematical programming models are proposed to find the best stop and service patterns for these strategies so as to minimize the total passenger travel time.
Keywords: Public transit; Stop service pattern strategies; Mathematical model; Optimization; Simulation. -
15h55 - 16h20
Dynamic shipping in hierarchical freight transportation network
We define a problem which lets a retailer consolidate their products before deciding the delivery procedure with the aim of minimizing sorting, outsourcing and transportation costs. We consider different shipping options depending on the level the retailer reaches a delivery company which is in charge of the final shipment.
Keywords: MILP, Transportation, Online optimization.
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16h20 - 16h45
Challenges in air cargo transportation
In order to survive and stay ahead of the competition, airfreight carriers have to continuously make decisions regarding the use of their transportation network. Some decision-making tools are available to support them in their planning and operations. However, due to the difficulty of the problems involved, their quality is often poor, and they cannot be fully relied on. In this talk, we will discuss certain aspects of freight transportation that still represent a challenge in the air cargo industry. Relevant research questions and new approaches to deal with these issues will be presented.
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16h45 - 17h10
An integer programming approach to re-optimize air cargo shipping plans
An air cargo transporter receives demands from clients who want to transport some goods from a place to another. The purpose of this company is to maximize its benefits by having the best utilization of its network. In this talk, we will present some integer programming models that re-optimize an already existing shipping plan. We will focus on finding a good trade-off between the available capacity of the planes and the cost of the shipping plan.