A decision-making model for non-traditional machining processes selection

Article history: Received March 14, 2014 Accepted July 25, 2014 Available online July 31 2014 Non-traditional machining (NTM) refers to a variety of thermal, chemical, electrical and mechanical material removal processes, developed to generate complex and intricate shapes in advanced engineering materials with high strength-to-weight ratio. Selection of the optimal NTM process for generating a desired feature on a given material requires the consideration of several factors among which the type of the work material and shape to be machined are the most significant ones. Presence of a large number of NTM processes along with their complex characteristics and capabilities, and lack of experts in NTM process selection domain compel for development of a structured approach for NTM process selection for a given machining application. Thus, the objective of this paper is set to develop a decision-making model in Visual BASIC 6.0 to automate the NTM process selection procedure with the help of graphical user interface and visual decision aids. It is also integrated with quality function deployment technique to correlate the customers’ requirements (product characteristics) with technical requirements (process characteristics). Four illustrative examples are also provided to demonstrate the potentiality of the developed model in solving NTM process selection problems. © 2014 Growing Science Ltd. All rights reserved.

[1]  Hakan Tozan,et al.  A fuzzy based decision model for nontraditional machining process selection , 2014 .

[2]  Shankar Chakraborty,et al.  A digraph-based expert system for non-traditional machining processes selection , 2009 .

[3]  Ming-Lu Wu,et al.  Quality function deployment: A literature review , 2002, Eur. J. Oper. Res..

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

[5]  Mustafa Yurdakul,et al.  Development of a multi-attribute selection procedure for non-traditional machining processes , 2003 .

[6]  Cpm Cor Govers,et al.  What and how about quality function deployment (QFD) , 1996 .

[7]  Prasenjit Chatterjee,et al.  Nontraditional machining processes selection using evaluation of mixed data method , 2013, The International Journal of Advanced Manufacturing Technology.

[8]  Susan Carlson Skalak.  House of Quality , 2002 .

[9]  R Jehadeesan,et al.  Web-based Knowledge Based System for Selection of Non-traditional Machining Processes , 2008 .

[10]  Shankar Chakraborty,et al.  Selection of non-traditional machining processes using analytic network process , 2011 .

[11]  Shankar Chakraborty,et al.  Non-traditional machining processes selection using data envelopment analysis (DEA) , 2011, Expert Syst. Appl..

[12]  Shankar Chakraborty,et al.  Applications of the MOORA method for decision making in manufacturing environment , 2011 .

[13]  Shankar Chakraborty,et al.  Design of an analytic-hierarchy-process-based expert system for non-traditional machining process selection , 2006 .

[14]  Can Cogun.  Computer-aided system for selection of nontraditional machining operations , 1993 .

[15]  Vijay K. Jain,et al.  Advanced Machining Processes , 2014 .

[16]  Shankar Chakraborty,et al.  Application of PROMETHEE-GAIA method for non-traditional machining processes selection , 2012 .

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

[18]  Shankar Chakraborty,et al.  A combined TOPSIS-AHP-method-based approach for non-traditional machining processes selection , 2008 .

[19]  Shankar Chakraborty,et al.  QFD-based expert system for non-traditional machining processes selection , 2007, Expert Syst. Appl..