Taleb pargar - PhD student, Department of Industrial Management, Qeshm International Branch, Islamic Azad University, Qeshm, Iran
Morteza Shafiee - Associate Professor Department of Industrial Management, Faculty of Economics and Management, Shiraz Branch, Islamic Azad University, Shiraz, Iran
Mohamadali Afsharkazemi - Associate Professor Department of Industrial Management, Faculty of Economics and Management, Tehran Center, Islamic Azad University, Tehran, Iran

The Social Security Organization is the most important element of the insurance industry in the country and has reached a position where it can play a special role in expanding the social and economic development of the country. Therefore, one of the requirements for creating social and economic change in order to provide desirable services in the social security organization and to satisfy the client is to design and implement a system for evaluating the correct performance of the organization's service supply chain. For this purpose, the aim of the present study is to design the performance evaluation indicators of the service supply chain in Hormozgan Social Security Organization. And in the first part, first the performance evaluation indicators of the service supply chain were determined in the form of input and output measures and the importance of each performance indicator was determined and then according to the approved indicators and in order to meet the needs and satisfaction of the client, a service supply chain of two-way and four-level (The level of first and last were assumed to be out of bounds) designed. And in the second part, the efficiency of service supply chain, of ۱۵ branches of Hormozgan province was evaluated by the network data envelopment analysis. Efficient and inefficient branches were identified by this model. And finally the necessary strategies were examined to eliminate the factors of inefficiency of the branches and in line with the quality of services and to satisfy the client in the organization.

Performance evaluation, service Supply Chain, Social Security Organization, Network Data Envelopment Analysis Model