TY - JOUR ID - 88637 TI - Multi-period network Data Envelopment Analysis to measure the efficiency of a real business JO - Journal of Industrial and Systems Engineering JA - JISE LA - en SN - 1735-8272 AU - gazori, arezoo AU - Khalili-Damghani, Kaveh AU - Hafezalkotob, Ashkan AD - Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran Y1 - 2019 PY - 2019 VL - 12 IS - 3 SP - 55 EP - 77 KW - Linear Programming KW - Network Data Envelopment Analysis KW - Performance measurement KW - multi-period performance analysis DO - N2 - 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. UR - https://www.jise.ir/article_88637.html L1 - https://www.jise.ir/article_88637_5f1cf97270ed3a55819e235baf873c81.pdf ER -