The evolution of the freight and logistics industry has resulted in the emergence of the Unmanned Aerial System (UAS) in the delivery of packaged products. The purpose of this project is to present an overview of the success story of adopting UAS in the contemporary cargo and logistics industry (Hernandez-Santin et al., 2019). The projects highlight various innovations and discoveries that foster the continued development of UAS in USA and the world at large. The project also introduces the various challenges that face UAS as a new entity in the freight industry and reflects on the specific impacts that result from the emerging adoption. The purpose of this project is to foresee the various challenges that might result from the use of drone vehicle systems in delivering packages in the modern workspace. The environmental and economic effects of UAS delivery system as it continues to take shape in the contemporary market feature in the project.
The project recognizes Airdata UAV, 3DR, MBPower, and Juniper Unmanned as the leading pacesetters in the provision of Unmanned Aerial System services in the USA and in Europe. The project differentiates between Unmanned Aerial Vehicle (UAV) and the Unmanned Aerial System (UAS). The project depicts UAV as the actual tool or vehicle that carries cargo from region to region using the new drone technology. The paper depicts the Unmanned Aerial System as the whole mechanism that oversees the performance of Unmanned Aerial Vehicles (UAV) (Muñoz-Esparza et al., (2019). The spread of the Unmanned Aerial System as a new entity in freight and logistics technology has taken root in the last one year. The project presents the various enabling factors that ease the integration of UAS technology in the contemporary logistics market. The projects identify the strategic strengths of UAS technology that enable it to emerge as a competitive option in the transport and logistics market.
Delegate your assignment to our experts and they will do the rest.
The project uses observation and literature review in researching on Unmanned Aerial System. Several literature contributions towards the emergence of UAS are considered in developing the project. Kaya et al., (2019) contributes by arguing that the emergence of UAS and the drone technology has been predictable. Nowatzki., (2019) feels that the increased dynamics and evolution of speed as an essential factor in the contemporary market have influenced the emergence of UAV and UAS technologies. Bonazzoli et al., (2019) perceives that the development of the Unmanned Aerial System as a solution to the perennial problem of pollution. The role of "speed" in defining quality of service in the contemporary transport and logistics industry is emphasized in the paper. This project also relies on personal observations on the recent operational information of the various UAS companies. The paper observes that the continued growth of the spirit of adventure among contemporary scientists plays a key role in the evolution of UAV and UAS technologies.
Various researchers establish that the emergence of UAV and UAS technologies was an expected phenomenon. The development of the transport and logistics industry from the ancient use of animals to the classical use of the automobile and now to drones seems to follow a certain predictable blueprint that is informed by the continued need for efficiency. The emergence of Unmanned Aerial System (UAS) will help to reduce the levels of pollution that result from carbon emissions (Martin, 2019). The UAS technology will increased efficiency in cargo delivery as drone technology can move products across a vast region within a short time. Several critics claim that UAS technology has little regard for privacy (Choi et al., 2019). Various critics perceive the UAS mechanism as having minimal privacy as many UAV designs expose the cargo carried. Besides, various groups fear that the emergence of UAS technology will motivate the development of espionage and unwarranted surveillance.
References
Bonazzoli, S., Borgianni, M., Falcone, C., Fioravanti, A., Longobardi, G., Lutri, S., ... & Ziantoni, F. (2019). U.S. Patent No. 10,207,803. Washington, DC: U.S. Patent and Trademark Office.
Choi, Y., Choi, Y., Briceno, S. I., & Mavris, D. N. (2019). An extended savings algorithm for UAS-based delivery systems. In AIAA SciTech 2019 Forum (p. 1796).
Hernandez-Santin, L., Rudge, M. L., Bartolo, R. E., & Erskine, P. D. (2019). Identifying species and monitoring understorey from UAS-derived data: A literature review and future directions. Drones, 3(1), 9.
Kaya, U. C., Dogan, A., & Huber, M. (2019). A Utility-Based Path Planning for Safe UAS Operations with a Task-Level Decision-Making Capability. In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp. 1227-1233). IEEE.
Martin, J. (2019). U.S. Patent No. 10,196,155. Washington, DC: U.S. Patent and Trademark Office.
Muñoz-Esparza, D., Sharman, R., Sauer, J., & Kosović, B. (2019). Toward low-level turbulence forecasting at eddy-resolving scales in support of UAS operations. In Geophysical Research Abstracts (Vol. 21).
Nowatzki, J. (2019). Unmanned Aircraft Systems (UAS) Applications to Agriculture. In Handbook of Farm, Dairy and Food Machinery Engineering (pp. 149-156). Academic Press.
