C. H. Robinson Uses Heuristics to Solve Rich Vehicle Routing Problems
December 31, 2019 Β· Declared Dead Β· π INFORMS J. Appl. Anal.
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Authors
Ehsan Khodabandeh, Lawrence V. Snyder, John Dennis, Joshua Hammond, Cody Wanless
arXiv ID
1912.13157
Category
cs.AI: Artificial Intelligence
Cross-listed
math.OC
Citations
2
Venue
INFORMS J. Appl. Anal.
Last Checked
4 months ago
Abstract
We consider a wide family of vehicle routing problem variants with many complex and practical constraints, known as rich vehicle routing problems, which are faced on a daily basis by C.H. Robinson (CHR). Since CHR has many customers, each with distinct requirements, various routing problems with different objectives and constraints should be solved. We propose a set partitioning framework with a number of route generation algorithms, which have shown to be effective in solving a variety of different problems. The proposed algorithms have outperformed the existing technologies at CHR on 10 benchmark instances and since, have been embedded into the company's transportation planning and execution technology platform.
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