Abstract
This paper addresses a single-carrier collaboration problem (SCCP) in which a less-than-truckload (LTL) carrier of interest seeks to collaborate with other carriers by acquiring capacity to service excess demand. The SCCP is addressed from a static (planning) perspective to gain insights into the potential of the collaboration concept for carriers, and its ability to alleviate the effects of increased fuel prices. The study also explores the impact of the degree of collaboration represented by the collaborative discount rate on the carrier of interest. The collaborative strategies are compared to the non-collaboration option represented by a short-term leasing strategy, and the relative benefits of collaboration are computed. Single- and multiple-product SCCPs are formulated as binary (0–1) multi-commodity minimum cost flow problems and are solved using the branch-and-cut algorithm. Experiments are conducted for two transfer cost policies to illustrate insights into the computational performance under varying factors, the effects of different degrees of collaboration, and the impacts of energy costs on the potential for collaboration. The results illustrate that a higher degree of collaboration leads to increased benefits for the carrier of interest and reduced dead-heading for the collaborating carriers. Collaboration also can be critical for the survival of the small- to medium-sized LTL carriers as energy prices escalate given the small industry-wide profit margins.
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