@article { author = {gazori, arezoo and Khalili-Damghani, Kaveh and Hafezalkotob, Ashkan}, title = {Multi-period network Data Envelopment Analysis to measure the efficiency of a real business}, journal = {Journal of Industrial and Systems Engineering}, volume = {12}, number = {3}, pages = {55-77}, year = {2019}, publisher = {Iranian Institute of Industrial Engineering}, issn = {1735-8272}, eissn = {2717-3380}, doi = {}, abstract = {Measuring the efficiency of real businesses is not a simple task, because a real business may involve several processes and sub-processes, forming a very complicated dynamic network of interactions. In this paper, a customized dynamic network data envelopment analysis (NDEA) model is proposed to measure the efficiency of the sub-processes in a real business. The proposed dynamic NDEA model is fully designed and customized for IMI which is a leading institute in providing consulting management, publication, and educational services. First, we have identified the network of the Industrial Management Institute (IMI) which includes educational, consulting, and publication sub-processes. Then, the most important sub-processes and the associated dynamic interactions are determined. Afterward, a dynamic NDEA model is proposed to measure the efficiency of sub-processes. The main theoretical properties of the proposed dynamic NDEA model are also discussed through theorems. Assessing the performance of IMI's sub-processes is not a trivial task due to the complexity of sub-processes in IMI. The proposed dynamic NDEA model is applied using real operational data of the IMI gathered through a sixty-month planning horizon. An attempt has been accomplished to form a relationship between the total efficiency of the process and the efficiency of each sub-process by regression analysis. The managers of IMI can monitor the efficiency score of the main process and sub-processes during the planning horizon which can help to improve inefficient sub-process.}, keywords = {Linear Programming,Network Data Envelopment Analysis,Performance measurement,multi-period performance analysis}, url = {https://www.jise.ir/article_88637.html}, eprint = {https://www.jise.ir/article_88637_5f1cf97270ed3a55819e235baf873c81.pdf} }