IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 04 Issue: 04 | Apr-2015, Available @ http://www.ijret.org 576 PERFORMANCE EVALUATION OF INDIAN BUSINESS SCHOOLS USING THE MAHALANOBIS TAGUCHI SYSTEM Kishore Govatati 1 , S Santhosh Kumar 2 , N Bulli Raju 3 1 Assistant professor, Department of Mechanical Engineering, Sri Sivani College of engineering, Srikakulam, Andhra Pradesh, India-532410 2 Assistant professor, Department of Mechanical Engineering, Sri Sivani College of engineering, Srikakulam, Andhra Pradesh, India-532410 3 Assistant professor, Department of Mechanical Engineering, Sri Sivani College of engineering, Srikakulam, Andhra Pradesh, India-532410 Abstract Grading is a competitive philosophy adopted by many institutions to attract the academic aspirants. Contemporary grading tools are designed to evaluate the institutions status of their performance and success. Generally, the required data is available in multidimensional form for getting the present status of the institutions. However, more multivariate data analysis methods are available for solving these systems, but most of these methods provide analysis based on some statistical assumptions. In this work, the complementary methodology is proposed for the analysis, which will provide a quantitative measure of the B- Schools performances. The proposed Mahalanobis Taguchi System (MTS) based methodology is a pattern information technology developed by Dr.Taguchi. This method is aimed at providing better prediction ability for multidimensional data through the construction of a multivariate measurement scale. Subsequently, the useful variables under this study are identified using the Orthogonal Arrays and Signal-Noise ratio. This study the Indian B-School data with four variables and four classes are use for this analysis. Keywords: Mahalanobis Distance, Mahalanobis Taguchi System, S-N ratio, Orthogonal Array, Business Schools. --------------------------------------------------------------------***------------------------------------------------------------------ 1. INTRODUCTION The Master of Business Administration (MBA) is a master's degree in business administration, which attracts people from a wide range of academic disciplines. The MBA designation originated in the United States, emerging from the late 19th century as the country industrialized and companies sought out scientific approaches to management. The core courses in the MBA program are designed to introduce students to the various areas of business such as accounting, marketing, human resources, operations management, etc. Students in some MBA programs have the option to select an area of concentration and focus approximately one-third of their studies in this area. In India over 1800 B-Schools are there for the offering different programmes related to management studies. The ratings of B-Schools are more impacted by many factors. The following Major four variables are considered for doing the performance estimation. The four variables set are described below: 1.1 Infrastructure Infrastructure is sub-divided into physical and academic infrastructure. Physical infrastructure is further broken down into factors such as the institute’s build-up area, number and size of classrooms, hostel on campus, and percentage of students provided accommodation, layout plan, physical verification etc. overall ambience of the classrooms and the institute in general. Academic infrastructure is sub-classified into knowledge centre and teaching aids. Knowledge centre has sub-parameters like number of books added, management related books added, journals (national and international), e-journals, library records, over all atmospheres in the library etc. Teaching aids has sub-parameters like use of books and a journal for teaching, including networking, Number of LCD’s, computing facilities in classrooms, other equipments etc. 1.2 Education/Academic Structure Education/Academic structure is sub-divided into faculty, research, consultancy, publications, MDP etc. These parameters are further divided into different factors such as full time and visiting faculty, percentage of PhD, industry experience, ratio of students and faculty, research and consultancy, MDP, number of publications and research papers, books, working papers written(total output), conferences or seminars organized, competency building & soft skills, courses other than MBA programmes, financial structure etc.