TY - JOUR ID - 104182 TI - An Integrated Knowledge Management Framework for Sustainable Supply Chain Using a System Dynamics Model for POGC JO - Petroleum Business Review JA - PBR LA - en SN - 2645-4726 AU - Hosseini Moghaddam, Sayyed Abolfazl AU - Mehregan, Mohammad Reza AU - Shamizanjani, Mehdi AD - Ph.D. Student in Management, Department of Industrial Management, University of Tehran, PARDIS International Campus, Tehran, Iran AD - Professor, Department of Industrial Management, University of Tehran, PARDIS International Campus, Tehran, Iran AD - Associate Professor, Department of Industrial Management, University of Tehran, PARDIS International Campus, Tehran, Iran Y1 - 2019 PY - 2019 VL - 3 IS - 1 SP - 29 EP - 50 KW - Sustainable Supply Chain KW - Knowledge Management KW - System Dynamics National Iranian Oil Company (NIOC) KW - Pars Oil and Gas Company (POGC) DO - 10.22050/pbr.2019.104182 N2 - Supply chains have experienced rapid growth in recent years. Focusing purely on economic performance so as to optimize costs or return on capital can no longer guarantee development or sustainability in the chain. Hence, the concepts of green supply chain management and sustainable supply chain management emerged to emphasize the importance of social and environmental concerns along with economic factors in supply chain programming. Using the system dynamics method and considering knowledge management, this study investigates the variables related to this topic and the variables of sustainable supply chain management, and it determines the relationships between these variables and their impact on the research purpose. To achieve this, first, previous studies are reviewed, and the relevant variables are extracted and finalized according to the experts. Next, a system dynamics model is designed, and various scenarios are defined by changing the effective values of the system. Eventually, several policies are presented to achieve the optimal situation. The optimal values of the ten main influential variables are extracted according to the expert opinion, and the effects revealed by the model are determined by these changes. UR - https://pbr.put.ac.ir/article_104182.html L1 - https://pbr.put.ac.ir/article_104182_d00604bfab1b4977ee8b25d8c6493476.pdf ER -