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Planning Problems in Intermodal Freight Transport ...

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A second operational plann<strong>in</strong>g problem of network operators is the redistribution of<br />

railcars, barges and load units. In Chih et al. [60] a decision support system called RAILS is<br />

set up to optimally manage <strong>in</strong>termodal double-stack tra<strong>in</strong>s. This assignment problem is<br />

complex as there are height constra<strong>in</strong>ts and choices between different modes. The system is to<br />

be used on a daily basis to ensure the correct size of each tra<strong>in</strong> and to generate rail car<br />

reposition<strong>in</strong>g <strong>in</strong>structions. The plann<strong>in</strong>g horizon is two weeks and takes the local and global<br />

system needs <strong>in</strong>to consideration. The problem is formulated as a non-l<strong>in</strong>ear multi-commodity<br />

<strong>in</strong>teger network flow problem. As the problem is NP hard, a heuristic method is developed <strong>in</strong><br />

order to be able to solve the network optimisation problem with<strong>in</strong> a reasonable time. The<br />

heuristic breaks the solution procedures <strong>in</strong>to several components and uses well developed<br />

traffic assignment and capacitated network transhipment optimisation algorithms to solve the<br />

problem. In Chih and Van Dyke [61] a similar approach is followed for the distribution of the<br />

fleet’s empty trailers and/or conta<strong>in</strong>ers.<br />

5.4 <strong>Intermodal</strong> Operator<br />

At an operational level an <strong>in</strong>termodal operator has to determ<strong>in</strong>e the optimal rout<strong>in</strong>g of<br />

shipments. Barnhart and Ratliff [62] discuss methods for determ<strong>in</strong><strong>in</strong>g m<strong>in</strong>imum cost<br />

<strong>in</strong>termodal rout<strong>in</strong>gs to help shippers m<strong>in</strong>imize total transportation costs. Their models are<br />

focused on the rail/road comb<strong>in</strong>ations compared to uni-modal road transport. Two types of<br />

decision sett<strong>in</strong>gs are identified depend<strong>in</strong>g on who owns the equipment and who is provid<strong>in</strong>g<br />

the service. When rail costs are expressed per trailer, m<strong>in</strong>imum cost rout<strong>in</strong>gs are achieved<br />

with a shortest path procedure. For rail costs expressed per flatcar, optimal rout<strong>in</strong>gs are<br />

determ<strong>in</strong>ed with a match<strong>in</strong>g algorithm and a b-match<strong>in</strong>g algorithm. The latter models are also

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