Behavioral Logistics and Fatigue Management in Vehicle Routing and Scheduling Problems

The vehicle routing problem (VRP), is a classic optimization problem that aims to determine the optimal set of routes for a fleet of vehicles to meet the demands of a set of customers. The VRP has been studied for many decades and as such, there are many variants and extensions to the original problem. The research presented here focuses on two different types of vehicle routing and scheduling planning problems: car shipping and fatigue-aware scheduling. In addition to modeling and solving the car shipping problem, this research presents a novel way for ways in which drivers can describe their route preferences in a decision support system. This work also introduces the first fatigue-aware vehicle scheduling problem called the Truck Driver Scheduling Problem with Fatigue Management (TDSPFM). The TDSPFM is utilized to produce schedules that keep the drivers more alert than existing commercial vehicle regulations. Finally, this work analyzes the effect of the starting alertness level on driver alertness for the remainder of the work week and examines a critical shortcoming in existing regulations.

Name thesis:degree_name

Ph. D.

Level thesis:degree_level

doctoral

Discipline thesis:degree_discipline

Business, Business Information Technology

Department dc:contributor.department

Business Information Technology

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2016

Author dc:creator

• Bowden, Zachary E.

Chair dc:contributor.committeechair

• Ragsdale, Cliff T.

Committee members dc:contributor.committeemember

• Matheson, Lance A.
• Cook, Deborah F.
• Seref, Onur
• Deane, Jason K.

• Vehicle Routing Problem
• Behavioral Logistics
• Alertness
• Fatigue Management

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Dc Identifier Other

vt_gsexam:7305

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/79792