Title: Tri-Vizor uses an efficient algorithm to identify collaborative shipping opportunities
Authors: Creemers, Stefan ×
Woumans, Gert
Boute, Robert
Belien, Jeroen #
Issue Date: 2016
Publisher: Institute of Management Sciences
Series Title: Interfaces vol:accepted
Abstract: Collaborative shipping, where companies bundle their transport loads, is a growing trend in logistics. By bundling shipments with other partners, available space in truck hauls for one company can be used to transport shipments for other companies. This comes at the benefit of reduced logistics costs, as well as a lower carbon footprint. Although its advantages are clear, a major impediment is to find suitable collaboration partners. In this article, we present a tool that enables the quick identification of potential partners based on their geographical compatibility, even when the database of
shipment lanes is very large. The tool allows the detection of bundling, back-hauling, and round-trip opportunities, as well as “collect-and/or-drop” opportunities where shipments are collected and/or dropped off en route. The tool is currently being used (among others) by Tri-Vizor, a facilitator and orchestrator of horizontal logistics partnerships, but is also applicable for any company that is
looking for collaborative shipping partners. For Tri-Vizor, the tool has become an indispensable asset to detect collaborative shipping opportunities as their database has grown to over 130,000 shipment lanes.
ISSN: 0092-2102
Publication status: accepted
KU Leuven publication type: IT
Appears in Collections:Faculty of Economics and Business (FEB) - miscellaneous
Department of Information Management, Modeling and Simulation, Campus Brussels - miscellaneous
Research Center for Operations Management, Leuven
× corresponding author
# (joint) last author

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