It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
The complexity and significance of decision-making in selecting suppliers highlight the need for a systematic and transparent approach. The more organizations rely on suppliers, the more harmful the direct and indirect consequences of poor decision-making are. This study attempted to identify factors affecting supplier selection and develop a system dynamics model for supplier selection by taking into account social corporate responsibility (CSR) practices. This model aims to increase CSR practices when selecting suppliers and thus help supply chain members gain competitive power and satisfy customer demands optimally. The system dynamics model for supplier selection was developed by considering profitability, productivity, social transparency, and customer satisfaction. To this end, first, the indicators affecting supplier selection were identified. Then, a cause–effect model was extracted by surveying subject-matter experts. Finally, the system dynamics model was developed. The final output of the third stage was a dynamic model of a supplier selection system that considers CSR practices. The results showed that profitability increases only by implementing the policy of reducing the average distance between suppliers and increasing the number of suppliers. This issue causes lower costs, reduced delivery time due to reduced average distance between suppliers, and increased suppliers, resulting in increased customer satisfaction and increased demand.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details

1 Shandong University of Finance and Economics, School of Management Science and Engineering, Jinan, China (GRID:grid.443413.5) (ISNI:0000 0000 9074 5890)
2 University of Tehran, School of Industrial Engineering, College of Engineering, Tehran, Iran (GRID:grid.46072.37) (ISNI:0000 0004 0612 7950)
3 Hormozgan University, Faculty of Engineering, Bandar-Abbas, Iran (GRID:grid.444744.3) (ISNI:0000 0004 0382 4371)
4 Zand Higher Education Institute, Department of Engineering, Shiraz, Iran (GRID:grid.444744.3)
5 Islamic Azad University, Department of Industrial Engineering, Shiraz Branch, Shiraz, Iran (GRID:grid.449257.9) (ISNI:0000 0004 0494 2636)