فهرست نشریات علمی دسترسی آزاد ایران

Organizations have a complex and dynamic network of processes. However, using network and dynamic models alone is insufficient to evaluate them. Measuring the efficiency of organizations plays a key role in future decisions. This paper proposes a dynamic network data envelopment analysis model to measure the main and sub-processes in a large organization. This model has been designed for the Industrial Management Institute, which is a leading organization that provides management consulting, publishing, and training services. First, the network of processes in the Industrial Management Institute, which includes training, communications, customer affairs, and information technology, is identified. Then, the most important sub-processes and the dynamic relationships among the main processes are determined. Finally, a dynamic network data envelopment analysis model is proposed to measure the efficiency of the main processes over time. The proposed dynamic network data envelopment analysis model is applied to the operational data collected from the Industrial Management Institute through a sixty-month planning horizon. Lastly, using regression analysis, a relationship is established between the efficiency of the whole process and the efficiency of each individual process. Using the proposed model, the managers of the Industrial Management Institute can evaluate the efficiency of the processes and improve the inefficient processes.