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Comparison of results of benchmarking performed through various techniques in an engineering college of Delhi NCR

Benchmarking has been widely used in various fields to identify the top performer and the industry best practices. This helps in determining the gap between the best performer in an industry and the under players. This gap can be further analyzed and the best practices can be understood and implemented in the under player organizations which can lead to kaizen. In this paper an attempt has been made to identify the top performing academic department amongst the six departments CS (Computer Science & Engineering), IT (Information Technology), EC (Electronics & Communication Engineering), EE (Electrical & Electronics Engineering), ME (Mechanical Engineering), CE (Civil Engineering) in an engineering college ABES EC located in Delhi NCR. The benchmarking has been performed using four techniques i.e., Decision Matrix (MAUT — Multi Attribute Utility Theory), MOOSRA and SDV MOORA and the results are compared. It was observed that all the techniques gave fairly similar results in finding the benchmark. Moreover, the best and the last performers observed as a result of benchmarking through these techniques were uniquely the same. A little discrepancy in the ranks of two departments is observed. However, this slight variation in results is due to the basic differences in methodology involved in the techniques used.