Lifan Zhang

Abstract

Given shipment demand and driving regulations, a consolidation carrier has to make decisions on how to route both shipments and drivers at minimal cost. The traditional way to formulate and solve these problems is through the use of two-step models. This thesis presents a heuristic algorithm to solve an integrated model that can provide superior solutions. The algorithm combines a slope scaling initialization phase and tabu search to find high-quality solutions. The performance of the proposed heuristic is benchmarked against a commercial solver and these results indicate that the proposed method is able to produce better quality solutions for the similar solution time.

Library of Congress Subject Headings

Transportation--Planning--Data processing; Shipment of goods--Data processing; Heuristic algorithms

Publication Date

2-17-2013

Document Type

Thesis

Department, Program, or Center

Industrial and Systems Engineering (KGCOE)

Advisor

Hewitt, Mike

Comments

Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: HE199.U5 Z42 2013

Campus

RIT – Main Campus

Plan Codes

ISEE-MS

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