Continues benchmarking using a time framed inverse data envelopment analysis: The case of Iranian economic sectors

Mojtaba Ghiyasi ¹ ( Faculty of Industrial Engineering and Management Science, Shahrood University of Technology )
Farhad Taghizadeh-Hesary ² ( Social Science Research Institute, Tokai University, 4-1-1 Kitakaname, Hiratsuka-shi 259-1292, Kanagawa, Japan )

Submited date : 2024-01-10 Accepted date : 2025-10-07

Keywords: DEA, InDEA, Continues Benchmarking, Efficiency Analysis, Planning, Economic sectors,

Abstract :

This paper develops a continues benchmarking method using the inverse data envelopment analysis (InDEA) problem. It develops a continues time based framework capable of handling with InDEA models. By this proposed approach we find optimal required input level for producing a given expected benchmark and preserving the efficiency scores over time. This approach provides a useful tool specifically for decision makers in the process of planning and budgeting based on performance. If decision maker aims to produce a specific level of benchmark, then our approach helps him on finding required input level over time. In fact, it helps us to find when and how much input is required for producing given benchmark level. Compared with existing literature in classical InDEA, the proposed models give better solutions, namely, more produced outputs and less consumed inputs. These models determine not only the input-output level but also the best time of input consumption or output production. We applied our models for a decade efficiency analysis, more sensitivity, benchmarking and planning analysis of selected Iranian economic sectors.

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