Advances in Environmental Biology, 9(3) February 2015, Pages: 898-905 AENSI Journals Advances in Environmental Biology ISSN-1995-0756 EISSN-1998-1066 Journal home page: http://www.aensiweb.com/AEB/ Corresponding Author: Ali Hajiahmadi, Amirkabir University of Technology, Tehran, Iran E-mail: a.hajiahmadi@aut.ac.ir Design and Optimization of Closed-Loop Green Supply Chain Management 1 Ali Hajiahmadi, 2 Mediya Sayyad and 3 Kaveh M. Cyrus 1 Amirkabir University of Technology, Tehran, Iran 2 Amirkabir University of Technology, Tehran, Iran 3 Amirkabir University of Technology, Tehran, Iran ARTICLE INFO ABSTRACT Article history: Received 21 November 2014 Received in revised form 4 December 2014 Accepted 3 January 2015 Available online 28 January 2015 Keywords: Reverse supply chain, forward supply chain, closedloop green supply chain, uncertainty. Because of cost and environmental concerns, reverse supply chain (RSC) has received a lot of consideration. RSC is defined as the activities of the collection and recovery of product returns in supply chain. The integration of forward supply chain (FSC) and RSC results in a closed-loop supply chain (CLSC). In this paper, RSC, FSC, and CLSC are presented. Then, the research targets are mentioned. The purpose of paper is to develop efficient approaches to support closed-loop green supply chain configurations, especially develop methodologies examine impact of uncertainty on CLSC. In this paper, a multi-target model is developed to configure the general CLSC network. © 2015 AENSI Publisher All rights reserved. To Cite This Article: Hajiahmadi, Mediya Sayyad and Kaveh M. Cyrus., Design and Optimization of Closed-Loop Green Supply Chain Management. Adv. Environ. Biol., 9(3), 898-905, 2015 INTRODUCTION There are two types of supply chains: forward and reverse supply chains. The forward supply chain (FSC) includes of series of activities in the process of converting raw materials to finished products. The managers try to improve forward supply chain performances in areas such as demand management, procurement, and order fulfillment [4,22,7]. Reverse supply chain (RSC) is defined as the activities of the collection and recovery of product returns in supply chain management (SCM). Economic features, government directions, and customer pressure are three aspects of reverse logistics [13]. Generally, there are more supply points than demand points in reverse logistics networks when they are compared with forward networks [20]. Reverse logistics include the process of implementing and controlling the inbound flow and storage of secondary goods and related information opposite to the traditional supply chain directions for the purpose of recovering value and proper disposal. The integration of forward supply chain and reverse supply chain constructs a closed loop supply chain (CLSC) [8]. In other words, there are both forward and reverse channels in CLSC networks. The purpose of this paper is to develop effective approaches to support closed loop supply chain configurations and analyses especially develop methodologies to examine impacts of the following issues on CLSC: Uncertainty: In the mathematical models, there are many parameters such as cost, demand, and return which are not deterministic. As a result, several sources of uncertainty should be considered. Multi-targets: In closed-loop network configuration, not only it is preferred to minimize the total cost (including operation, transportation, and holding costs), but also it is necessary to optimize other factors such as recycling materials and wastes because of environmental concerns. In addition, different criteria should be considered in selection of members of supply chain (such as suppliers). As a consequence, multi-target models should be proposed and appropriate solution approaches should be developed. The paper is arranged as follows: section 2 presents related works about closed loop supply chain. Section 3 presents a multi-target facility location model