Browsing by Author "Jaillet, Patrick"

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    Coping with Disruptions Performance Comparison of Strategies for Online Inventory Routing Systems Under Demand Surges
    (SAGE PUBLICATIONS INC, 2010) Giesen, Ricardo; Mahmassani, Hani S.; Jaillet, Patrick
    In real time distribution operations, It is generally assumed that demand process parameters can be precisely estimated However, this is rarely the case, particularly for products with a short life cycle Experiments were done to investigate the performance of various strategies for online distribution operations under disruptions caused by surges in demand patterns at a particular facility Two sets of strategies are considered (a) optimization based strategies, in which an off line optimization problem is formulated and used to update routing and inventory allocation plans, and (b) fixed tour strategies, in which a priori sets of routes to provide retailers with recourse actions depending on different degrees of real time information capabilities for controlling the system are used These are compared against two benchmark policies Simulation results for two scenarios (high and low inventory holding cost products) show that strategies that use real time information to update delivery plans systematically outperform strategies in which routes are not modified after the vehicle leaves the depot The differences tend to be higher in scenarios of products with low Inventory holding costs For replanning strategies, the benefits of en route plan updates are significant, in particular the possibility of diverting the vehicle In the case of fixed tour strategies, the possibility of updating tour Intervals provides potentially great savings Replanning strategies systematically outperform fixed tour strategies
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    Logistics in Real-Time: Inventory Routing Operations under Stochastic Demand
    (Springer-Verlag, 2009) Giesen Encina, Ricardo; Mahmassani, Hani S.; Jaillet, Patrick
    This chapter studies real-time distribution strategies and their associated benefits for a two-level distribution system, from one depot to N retailers, wherein vehicle delivery routes can be updated using real-time information about current inventory levels and vehicle status. Three rolling horizon approaches are proposed in which plans are updated using a mathematical programming formulation. The proposed re-planning strategies are compared against two benchmark policies using a general discrete-event simulation framework. Proposed re-planning strategies are shown to systematically outperform the two benchmark policies.