Jauhar, Sunil Kumar and Pant, Millie and Nagar, Atulya K. (2016) Sustainable educational supply chain performance measurement through DEA and Differential Evolution: a case on Indian HEI. Journal of Computational Science. ISSN 1877-7503 (Accepted for Publication)
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Abstract
Data envelopment analysis or DEA methodology is employed for assessing the relative efficiency of different homogeneous units. Through DEA one can analyze the areas which need more attention and can suggest measures for improving the performance of different sectors. Through this article, the authors have tried to analyze the relative efficiency of IITR (The Indian Institute of Technology Roorkee), a higher educational institute (HEI) in India. The efficiency of nineteen academic departments of IIT Roorkee is measured with respect to teaching and research. The novlty of the paper is twofold (1) the authiors have considered the environmental aspects (sustainability criteria) while measuring efficiency (2) Differential Evolution (DE) algorithm is employed in accordance with DEA on the fractional model generated for calculating efficiency.
| Item Type: | Article |
|---|---|
| Additional Information and Comments: | “NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Computational Science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Computational Science, 2016, DOI#10.1016/j.jocs.2016.10.007¨ |
| Keywords: | Educational supply chain management, Differential evolution, Performance measurement, Data envelop analysis, higher educational institute |
| Faculty / Department: | Faculty of Human and Digital Sciences > Mathematics and Computer Science |
| Depositing User: | Atulya Nagar |
| Date Deposited: | 27 Oct 2016 13:49 |
| Last Modified: | 13 Oct 2017 00:15 |
| URI: | https://hira.hope.ac.uk/id/eprint/1748 |
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