Thu.1 09:00–10:15 | H 3004 | APP
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Applications in Logistics and Supply Chain Management

Chair: Ali Ekici
9:00

Okan Ozener

joint work with Basak Altan

A Game Theoretical Approach for Improving the Operational Efficiencies of Less-than-truckload Carriers Through Load Exchanges

Less-than-truckload (LTL) transportation offers fast, flexible and relatively low cost transportation services to shippers. In order to cope with the effects of economic recessions, LTL industry implemented ideas such as reducing excess capacity and increasing revenues through better yield management. In this paper, we extend these initiatives beyond the reach of individual carriers and propose a collaborative framework that facilitates load exchanges to reduce the operational costs of the collaborating LTL carriers.

9:25

Mingyu Li

joint work with Peter Schütz

Decision support for ship routing in dynamic and stochastic ice conditions

We discuss the problem of finding the optimal route for a ship sailing in non-stationary ice conditions, with uncertainty resulted from poor quality of ice conditions forecasts. We formulate the problem as a shortest path problem with uncertain and time-dependent travel times but alternative objective can be risk or cost. We consider a 15-day planning horizon, with new ice information updated regularly and reconsider decisions accordingly. We present the look-ahead model formulation, a stochastic dynamic programming based solution method and preliminary results.

9:50

Ali Ekici

joint work with Okan Ozener, Serhan Duran

Ordering from Capacitated Suppliers under Cycle Time Limitation

We study the ordering policy of a retailer which procures a single item from multiple capacitated suppliers and satisfies an exogenous demand. Retailer’s objective is to minimize total fixed, variable and inventory holding cost. We develop cyclic ordering policies for the retailer with limited cycle time. We propose a novel iterative-natured heuristic framework which looks for the best cycle time while selecting suppliers and allocating orders. Computational experiments show that the proposed heuristic framework provides better results compared to other methods in the literature.