An ANP based selective assembly approach incorporating Taguchi’s quality loss function to improve quality of placements in technical institutions

Purpose – The performance of technical institutions in India is reflected through the level of campus placements. It is vital for them to have efficient, effective and robust placement policies. Selective assembly is a technique used in manufacturing industry in improving the quality of assemblies from relatively low-quality components. The purpose of this paper is to develop a methodology using selective assembly approach to improve the quality of placements of technical institutions in India. Design/methodology/approach – The paper presents a conceptual model for campus placement process by integrating Selective Assembly, Taguchi’s quality loss function (QLF) and analytic network process (ANP). The data used in the study was taken through surveys and expert opinions. In this paper, for “Selective Assembly” the terminology, “Selective Recruitment” has been used at appropriate places in the context of technical education. Findings – Selective matching of students’ skills done through ANP minimizes the tot...

[1]  Maria Tsinidou,et al.  Evaluation of the factors that determine quality in higher education: an empirical study , 2010 .

[2]  Shamsuddin Ahmed,et al.  QFD APPLICATION TO IMPROVE MANAGEMENT EDUCATION AT KIMEP , 2006 .

[3]  Shun Matsuura,et al.  Shifting the process mean to minimize surplus components and unacceptable products in selective assembly , 2011 .

[4]  Yu Zhang,et al.  A new selective assembly approach for remanufacturing of mating parts , 2010, The 40th International Conference on Computers & Indutrial Engineering.

[5]  Yu Zhang,et al.  Predict and Assure the Matchable Degree in Selective Assembly via PCI-based Tolerance , 1999 .

[6]  T. Saaty,et al.  Fundamentals of the analytic network process — Dependence and feedback in decision-making with a single network , 2004 .

[7]  İhsan Yüksel,et al.  A fuzzy analytic network process (ANP) model to identify faulty behavior risk (FBR) in work system , 2008 .

[8]  Makarand S. Kulkarni,et al.  A methodology for simultaneous optimisation of design parameters for the preventive maintenance and quality policy incorporating Taguchi loss function , 2012 .

[9]  Mo Wang,et al.  Perceived Overqualification: A Review and Recommendations for Research and Practice , 2012 .

[10]  D. K. Banwet,et al.  Quality framework in education through application of interpretive structural modeling: An administrative staff perspective in the Indian context , 2010 .

[11]  Vijayan N. Nair,et al.  Selective Assembly in Manufacturing: Statistical Issues and Optimal Binning Strategies , 2004, Technometrics.

[12]  Abdullah,et al.  Interpretive Structural Modeling of MLearning Curriculum Implementation Model of English Language Communication Skills for Undergraduates. , 2014 .

[13]  Thomas L. Saaty,et al.  DECISION MAKING WITH THE ANALYTIC HIERARCHY PROCESS , 2008 .

[14]  Ajay Goel,et al.  Decision Analysis Approach for Quality in Technical Education , 2010 .

[15]  Nagendra Sohani,et al.  Developing Interpretive Structural Model for Quality Framework in Higher Education: Indian Context , 2012 .

[16]  Elena Comino,et al.  Application of the Analytic Hierarchy Process and the Analytic Network Process for the assessment of different wastewater treatment systems , 2011, Environ. Model. Softw..

[17]  Sharad K. Maheshwari.  Optimizing Metal Cutting Cost by Integration of Cost of Quality Using Taguchi's Loss Function , 2007 .

[18]  Metin Dagdeviren,et al.  A fuzzy analytic network process (ANP) model for measurement of the sectoral competititon level (SCL) , 2010, Expert Syst. Appl..

[19]  Roma Mitra Debnath,et al.  Improving Service Quality in Technical Education: Use of Interpretive Structural Modeling. , 2012 .

[20]  Natalya M. Parfyonova,et al.  Perceived overqualification and withdrawal behaviours: Examining the roles of job attitudes and work values , 2013 .

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

[22]  D. Maynard,et al.  Underemployment, job attitudes, and turnover intentions , 2006 .

[23]  V. Grover,et al.  An assessment of survey research in POM: from constructs to theory , 1998 .

[24]  Gülser Köksal,et al.  Planning and design of industrial engineering education quality , 1998 .

[25]  Reza Khorramshahgol,et al.  The Application of Analytic Hierarchy Process to Determine Proportionality Constant of the Taguchi Quality Loss Function , 2008, IEEE Transactions on Engineering Management.

[26]  Cevriye Gencer,et al.  Analytic network process in supplier selection: A case study in an electronic firm , 2007 .

[27]  Jeh-Nan Pan,et al.  A loss-function based approach for evaluating reliability improvement of an engineering design , 2013, Expert Syst. Appl..

[28]  A K Jeevanantham,et al.  SELECTIVE ASSEMBLY TO MINIMIZE CLEARANCE VARIATION IN COMPLEX ASSEMBLIES USING FUZZY EVOLUTIONARY PROGRAMMING METHOD , 2013 .

[29]  Peter Chu,et al.  ON VARGAS'S PROOF OF CONSISTENCY TEST FOR 3 × 3 COMPARISON MATRICES IN AHP , 2002 .

[30]  R. L. Katz.  Skills of an Effective Administrator , 2009 .

[31]  Majid Jaraiedi,et al.  Total Quality Management Applied to Engineering Education , 1994 .

[32]  Keun-Tae Cho,et al.  A loss function approach to group preference aggregation in the AHP , 2008, Comput. Oper. Res..