Liner shipping cargo allocation with service levels and speed optimization

Liner shipping cargo allocation with service levels and speed optimization

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Article ID: iaor201530374
Volume: 84
Issue: 2
Start Page Number: 40
End Page Number: 60
Publication Date: Dec 2015
Journal: Transportation Research Part E
Authors: ,
Keywords: supply & supply chains, combinatorial optimization, vehicle routing & scheduling, simulation
Abstract:

The cargo allocation problem is a key strategic problem that determines the profitability of a liner shipping network. We present a novel mixed‐integer programming model for this problem that introduces service levels for transit time requirements and optimizes the vessel speed on each leg of a service. These extensions to the cargo allocation problem greatly increase its realism and value for carriers. We evaluate our model on realistic data from the LINER‐LIB and perform a sensitivity analysis of transit times versus bunker costs. Furthermore, we show how carriers can use our model to make data driven decisions in their operations.

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