6533b86efe1ef96bd12cc74d

RESEARCH PRODUCT

Bidirectional labeling for solving vehicle routing and truck driver scheduling problems

Christian TilkAsvin Goel

subject

Truck050210 logistics & transportation021103 operations researchInformation Systems and ManagementGeneral Computer ScienceJob shop schedulingComputer sciencebusiness.industry05 social sciences0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchTruck driverIndustrial and Manufacturing EngineeringScheduling (computing)Modeling and Simulation0502 economics and businessVehicle routing problemmedia_common.cataloged_instanceEuropean unionRouting (electronic design automation)businessHours of servicemedia_commonComputer network

description

Abstract This paper studies the vehicle routing and truck driver scheduling problem where routes and schedules must comply with hours of service regulations for truck drivers. It presents a backward labeling method for generating feasible schedules and shows how the labels generated with the backward method can be combined with labels generated by a forward labeling method. The bidirectional labeling is embedded into a branch-and-price-and-cut approach and evaluated for hours of service regulations in the United States and the European Union. Computational experiments show that the resulting bidirectional branch-and-price-and-cut approach is significantly faster than unidirectional counterparts and previous approaches.

https://doi.org/10.1016/j.ejor.2019.10.038