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  5. Analysis of drone remote control to improve end of life (EOL) performance using QFD, TRIZ, and DFMA methods
 
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Analysis of drone remote control to improve end of life (EOL) performance using QFD, TRIZ, and DFMA methods

Journal
AIP Conference Proceedings
ISSN
0094243X
Date Issued
2019-07-30
Author(s)
Tan J.X.
Effendi M.S.M.
Radhwan H.
DOI
10.1063/1.5118170
Handle (URI)
https://hdl.handle.net/20.500.14170/10724
Abstract
Drone remote control is a device which uses radio signals to convey commands wirelessly through radio frequency over to the radio receiver, which is linked to a drone being remotely controlled. The aims of this study is to improve the end of life (EOL) performance of the drone remote control by using integration of the Quality Function Deployment (QFD), Theory of Inventive Problem Solving (TRIZ), and Design for Manufacturing and Assembly (DFMA) methods. Through applied methods, the part count for the drone remote control can be reduced. Consequently, the production cost of manufacturing and assembly time can be reduced as well as improving the design efficiency. The current drone remote control design is analyzed via the TRIZ and DFMA. Voice of the customer (VOC) has been collected through questionnaire and interview. The needs of customers are then interpreted into the engineering metrics via QFD. The main objective is to redesign the drone remote control by reducing the part count of the current design of drone in order to create optimum design. CAD software used is "SolidWorks 2014" software.
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