Coding, evaluation and optimal selection of a mechatronic system

This paper presents Multi Attribute Decision Making (MADM) based methodology for evaluation and selection of a mechatronic system. An exhaustive list of attributes which influence the structure and performance of a mechatronic system are identified. An attribute based coding scheme for identification and differentiation of mechatronic systems is developed. A three stage selection procedure is proposed for optimal selection of a mechatronic system. In the first stage, large numbers of available mechatronic systems are converged to a manageable number using elimination search. Second stage, a matrix for storing all the information pertaining to a mechatronic system alternative is proposed. In the third stage, all the mechatronic systems are ranked according the Euclidian distance of mechatronic system from best possible and worst solutions. Two visual methods namely linear graph and spider chart are proposed for ranking of mechatronic systems. An illustrative example explaining the implementation procedure of proposed methodology is discussed at the end. This methodology is useful for industries in selection of a mechatronic system and also useful for any customer in selection of an optimal mechatronic product.

[1]  Jan Wikander,et al.  Optimal selection of motor and gearhead in mechatronic applications , 2006 .

[2]  N. Kyura,et al.  Mechatronics-an industrial perspective , 1996 .

[3]  V. P. Agrawal,et al.  Attribute based specification, comparison and selection of electroplating system using MADM approach , 2009, Expert Syst. Appl..

[4]  Roger M. Goodall,et al.  Mechatronics, robotics and components for automation and control IFAC milestone report , 2005 .

[5]  Masayoshi Tomizuka,et al.  Mechatronics: From The 20 th to 21 st Century , 2000 .

[6]  Prabhakar R. Pagilla,et al.  Mechatronic design and control of a robot system interacting with an external environment , 2002 .

[7]  GuoDong Li,et al.  A grey-based decision-making approach to the supplier selection problem , 2007, Math. Comput. Model..

[8]  Kamineni Pitcheswara Rao,et al.  Mechatronic design of a leather spray system , 1999 .

[9]  Ren C. Luo,et al.  Sensor technologies and microsensor issues for mechatronics systems , 1996 .

[10]  Aníbal Ollero,et al.  Mechatronics, robotics and components for automation and control: IFAC milestone report , 2006, Annu. Rev. Control..

[11]  Kamal Youcef-Toumi,et al.  Modeling, design, and control integration: a necessary step in mechatronics , 1996 .

[12]  Taho Yang,et al.  Multiple-attribute decision making methods for plant layout design problem , 2007 .

[13]  Kiyotaka Tahara,et al.  Product quality-based eco-efficiency applied to digital cameras. , 2007, Journal of environmental management.

[14]  William Bolton Mechatronics: Electronic Control Systems in Mechanical and Electrical Engineering , 2004 .