Title :
UPS Virginia District Package Car Fleet Optimization
Author :
Manning, Travis ; Mehta, Divakar ; Shearer, Stephen ; Soldner, Mallory ; Torgersen, Brian
Abstract :
United Parcel Service (UPS) is constantly charged with realigning its package car fleet to accommodate the varying volume of packages during different times of the year. Factors involved in determining fleet alignments include package volume on a given route, total distance of a route, and if a package car´s engine type is supported at a particular center. The goal of this project was to optimally distribute the UPS fleet in the Virginia district according to two different criteria: minimizing fuel consumption and maximizing like vehicles at a given center. Integer programs were formulated for each of these alternatives based on the data provided by UPS. The two integer programs allow UPS to use historical data for a given season to realign the fleet seasonally with the intent of reducing cost.
Keywords :
integer programming; road vehicles; statistical analysis; Virginia district package car fleet optimization; car engine type; integer program; statistical analysis; united parcel service; Costs; Data analysis; Delay; Engines; Fuels; Packaging; Proposals; Spreadsheet programs; Uninterruptible power systems; Vehicles;
Conference_Titel :
Systems and Information Engineering Design Symposium, 2007. SIEDS 2007. IEEE
Conference_Location :
Charlottesville, VA
Print_ISBN :
978-1-4244-1286-0
Electronic_ISBN :
978-1-4244-1286-0
DOI :
10.1109/SIEDS.2007.4374012
