Theses and Dissertations

Issuing Body

Mississippi State University

Advisor

Zhang, Li

Committee Member

Sescu, Adrian

Committee Member

Marufuzzaman, Mohammad

Date of Degree

12-9-2022

Document Type

Graduate Thesis - Open Access

Major

Computational Engineering

Degree Name

Master of Science (M.S.)

College

James Worth Bagley College of Engineering

Department

Computational Engineering Program

Abstract

Commerce companies have experienced a rise in the number of parcels that need to be delivered each day. The goal of this study is to provide a decision-making procedure to assist carriers in taking a more significant role in selecting cost and risk-efficient truck-drone intermodal delivery routing plan. The congestion-based model is developed to select the method of parcel delivery utilizing a truck and a drone for optimizing cost and time. A study also has been conducted to compare drone-only and truck-only delivery routing plan. The proposed A* Heuristic algorithm and the OSRM application generate the travel path for drone and a truck along with the time of travel. Case studies have been conducted by varying the weight provided to cost and risk variable, studies indicate that there is a significant change in drone delivery travel time and cost with increase of cost weightage.

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