For Review Only QFD-Based Conceptual Design of an Autonomous Underwater Robot (AUR)

Autonomous underwater robots, in the past few years have been designed according to the self-concept and experience of the researchers. To design the robot, which meets all the requirements of users is not an easy work. Hence, a systematic design method that could include users’ preferences and requirements is needed. This paper presents the QFD (Quality Function Deployment) technique to design an autonomous underwater robot focusing on the Thai Navy military mission. The important user requirements extracted from the QFD method are the ability to record video, the operating depth up to 10 meters, the ability to operate remotely with cable and the safety when water leakage. The low important rating user requirements include looking beauty, using renewable energy, operating remotely with radio and ability to work during night time. The important design parameters derived from the user requirements are the Low Cost Controller, the Autonomous Control Algorithm, the Compass Sensor & Vertical Gyroscope,

[1]  D. Verma,et al.  Analyzing a Quality Function Deployment Matrix: An Expert System-based Approach to Identify Inconsistencies and Opportunities , 1998 .

[2]  Biren Prasad,et al.  Review of QFD and related deployment techniques , 1998 .

[3]  Abbie Griffin,et al.  The Voice of the Customer , 1993 .

[4]  S. K. Mukherjee,et al.  Integrating AHP with QFD for robot selection under requirement perspective , 2005 .

[5]  Shinsuke Kondoh,et al.  Development of redesign method of production system based on QFD , 2007 .

[6]  M. Nørremark,et al.  Conceptual and user-centric design guidelines for a plant nursing robot , 2009 .

[7]  Ming-Lu Wu,et al.  A systematic approach to quality function deployment with a full illustrative example , 2005 .

[8]  Miyoung Jeong,et al.  Quality function deployment: An extended framework for service quality and customer satisfaction in the hospitality industry , 1998 .

[9]  Yoji Akao,et al.  Quality Function Deployment : Integrating Customer Requirements into Product Design , 1990 .

[10]  Kwai-Sang Chin,et al.  QFD based optimal process quality planning , 2005 .

[11]  K Miller,et al.  Quality function deployment and its application to automotive door design , 2005 .

[12]  Imtiaz Haque,et al.  Quality function deployment as a tool for including customer preferences in optimising vehicle dynamic behaviour , 2005 .

[13]  Junku Yuh,et al.  Design and Control of Autonomous Underwater Robots: A Survey , 2000, Auton. Robots.

[14]  Li Lin,et al.  Methods for processing and prioritizing customer demands in variant product design , 2004 .

[15]  Carl T.F. Ross,et al.  A conceptual design of an underwater vehicle , 2006 .

[16]  Moharam Habibnejad Korayem,et al.  Improvement of 3P and 6R mechanical robots reliability and quality applying FMEA and QFD approaches , 2008 .

[17]  Chun-Lang Chang,et al.  Application of quality function deployment launches to enhancing nursing home service quality , 2006 .

[18]  Thomas J. Crowe,et al.  Using quality function deployment in manufacturing strategic planning , 1996 .