DocumentCode
2946149
Title
An Improved Delphi Method for Machinability Evaluation and Examination in Process Planning
Author
Xu, Huan-Min ; Wei, Jing ; Yuan, Ming-Hai
Author_Institution
Coll. of Mech. & Electr. Eng., HoHai Univ., Changzhou, China
Volume
3
fYear
2009
fDate
11-12 April 2009
Firstpage
669
Lastpage
672
Abstract
Machinability evaluation and examination is fundamental for process planning while an effective weight method is one of the primary concerns of machinability evaluation and examination in process planning. In this paper, a new improved approach for calculating the weights of extracted indices in machinability evaluation and examination in process planning is proposed based on the conventional Delphi method, The proposed approach is the statistical method that is applied to develop an algorithm for calculating weights of extracted machinability indices. The proposed method follows three steps: (1) extracted machinability indices are sequenced according to importance by domain experts; (2) the statistical values are obtained from the evaluation data given by these experts; (3) the weights of extracted machinability indices are calculated according to this approach. The new method in the paper provides one solution to the existing evaluation system. An application case is used to illustrate the process of calculation of weights of extracted machinability indices in machinability evaluation and examination in process planning.
Keywords
machinability; process planning; statistical analysis; extracted machinability indices; improved Delphi method; machinability evaluation; process planning; statistical method; Aerospace industry; Data mining; Educational institutions; Electric variables measurement; Machining; Manufacturing processes; Mechanical variables measurement; Mechatronics; Process planning; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location
Zhangjiajie, Hunan
Print_ISBN
978-0-7695-3583-8
Type
conf
DOI
10.1109/ICMTMA.2009.452
Filename
5203292
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