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Optimal resource utilization has been the key issue of economics as a discipline. In the current local and global scenario, this has gained even greater relevance. The notions of effectiveness, efficiency and productivity have long since moved beyond their traditional domain of production into newer areas like services. Given this backdrop, it is imperative to not only gain a proper understanding and awareness of these notions, but also appropriately measure the same. While the notion of productivity is a positive one, efficiency is a normative concept. These can be measured in either an absolute or relative sense. When measured in a relative sense, one uses benchmarking where a set of Decision Making Units (DMUs) are compared to each other in the context of productivity and efficiency.
The pedagogy would be based on classroom lectures and interactive hands-on sessions. The software used would be Microsoft EXCEL. This would provide a lot of flexibility to researchers to work on several variants of DEA, even possibly those conceptualized by them, rather than depend on customized software.
The workshop is designed for the benefit of anyone and everyone wanting to get further insights into production efficiency. More specifically, it would be useful for academicians, researchers and research scholars, consultants, production managers, etc.
- Introduction to Linear Programming
- Productivity, Efficiency and Data Envelopment Analysis
- Variable Returns to Scale: Separating Technical and Scale Efficiencies
- Extensions to basic DEA models
- Application of DEA models to functional areas
A very widely used, but seldom properly understood, technique of measuring and evaluating production efficiency is Data Envelopment Analysis (DEA). DEA is a non-parametric method of measuring production efficiency and it derives its conceptual roots from production economics and operations research. Given the vast literature on measuring efficiency using DEA, it is but counterintuitive that often, elementary flaws are found in the use of DEA-based techniques right at the conceptualization stage itself. It should also be understood that DEA prescribes a least upper bound of maximum efficiency as a target to any DMU. Hence it is a relatively liberal measure of (in) efficiency, based on benchmarking. It is against this backdrop that IRMA would be conducting a three-day workshop on DEA during January 8-10,2016.
The key purpose of this workshop is to provide useful insights into efficiency measurement using DEA thereby ensuring that researchers, both current and aspiring, are abreast of latest developments in the field and also would avoid committing fundamental errors in their research.Apart from the providing a sound conceptual framework based on production economics, the workshop would also highlight some of the contemporary variants of DEA. It would be conducted in a highly interactive, “hands-on” manner.
The fees for the 3-day programmeis Rs. 18,000/- per participant. The fees is inclusive of tuition, reading material, board and lodging in our comfortable ETDC facilities (all single AC rooms), access to our sports-gym, library, internet, and other amenities in our serene, lush green campus spread over 60 acres. Applicable service tax on the program fee will be levied extra. The fee should be paid in advance by demand draft/multi-city cheque/bank transfer in favour of the Institute of Rural Management Anand, payable at Anand.
The key resource person would be Prof. Subhash Ray from the Department of Economics, University of Connecticut, USA. Prof. Ray is an authority in production economics and DEA.