Document Type
Closed Project
Publication Date
Fall 2019
Instructor
Tugrul Daim
Course Title
Technology Assessment & Acquisition
Course Number
ETM 531/631
Subjects
Drone aircraft -- Industrial applications, Delivery of goods -- Technological innovations, Hierarchical Decision Model, Hierarchical Decision Model
Abstract
Our local Portland food delivery startup is considering using drone delivery services in order to satisfy the market needs for a high efficacy food delivery service in homes and offices. A drone delivery service is seen as a source of competitive advantage for our company given its advantages of minimizing costs and provide efficient delivery. The drone delivery service is also in line with our policy to ensure that our operations are environmentally friendly. Our aim is to ensure that that the drone delivery service becomes a preferred method of delivery for our We have identified three potential types of drones that we can use in our drone delivery initiative including; (1) Mk27 Prime Air Model; (2) Google Project Wing model; and (3) the Matternet M2 Parcel Drone. The purpose of this study is to identify the best type of drone that our company should pick for the delivery services. We have considered four-point decision criteria that includes analysis of the economic, environmental, security and technical aspects that relate to each type. The methods of analysis that will be employed in this paper is a review of the most current literature on the current state of drone technology, GAP analysis and use of Hierarchical Decision Modeling (HDM) for assessing competing technologies. Based on the analysis, method, we identified Google Project Wing to be the most ideal drone for use in our food delivery service.
Rights
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Persistent Identifier
https://archives.pdx.edu/ds/psu/30720
Citation Details
Al Khalil, Ashwaq; VanHuis, James; Starrett, Alexandra; and Selvakumar, Dharshanika, "Drone Technology for Package Delivery" (2019). Engineering and Technology Management Student Projects. 2277.
https://archives.pdx.edu/ds/psu/30720
Comments
This project is only available to students, staff, and faculty of Portland State University.