Unmanned Aerial Systems Fleet Management Techniques

dc.contributor.advisorCruzado Vélez, Héctor J.
dc.contributor.authorJimmy C. Pujols
dc.date.accessioned2024-05-17T16:19:13Z
dc.date.available2024-05-17T16:19:13Z
dc.date.issued2016
dc.descriptionDesign Project Article for the Graduate Programs at Polytechnic University of Puerto Ricoen_US
dc.description.abstractUnmanned Aerial Systems show great economic potential and their use offer both opportunities and challenges that are unique to this type of aircraft. This study proposes that the challenges presented by their use can be managed using lean and normal management tools. Those tools will allow the Manager of an Unmanned Aerial System Fleet to operate a profitable business operation and predict problems before they happen. Therefore, the tools presented will help future Unmanned Aerial System Fleet Managers make the decisions and analysis needed to enter this exciting aerospace segment. Key Terms ⎯ Drones, Federal Aviation Administration, Fleet Management, Unmanned Aerial Systems.en_US
dc.identifier.citationPujols, J. C. (2016). Unmanned Aerial Systems Fleet Management Techniques [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/2527
dc.language.isoenen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.haspartSan Juanen_US
dc.relation.ispartofManagement;
dc.relation.ispartofseriesFall-2016;
dc.rights.holderPolytechnic University of Puerto Rico, Graduate Schoolen_US
dc.rights.licenseAll rights reserveden_US
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Researchen_US
dc.subject.lcshPolytechnic University of Puerto Rico--Subject headings--Unassigneden_US
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Postersen_US
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate School--Master in Engineering Management degreeen_US
dc.titleUnmanned Aerial Systems Fleet Management Techniquesen_US
dc.typePosteren_US

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