Predicting the Effects of Risk Management in Logistics and Supply of Long-Term Facilities (Case Study: Zaytoun Logistics Park)

Document Type : Original Article

Authors
1 Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 M.Sc.. Grad. Faculty of Civil Engineering Art and Architecture Science and Research Branch, Islamic Azad University, Tehran, Iran.
Abstract
The existence of factors such as political issues, demand fluctuations, technological changes, financial instabilities, and natural disasters increases uncertainty and risks in the supply chain. One of the most important and complex stages of logistics support in organizations, especially military and law enforcement organizations. It is a prediction. The vital role of this process, in the optimal performance of logistics functions, has raised the necessity of creating a forecasting system. In this research, the importance of forecasting and estimation in logistics functions, as well as the requirements that must be met for the design of the forecasting system, are examined in the country's 10-year horizon. The research method in this research is in the form of a questionnaire and it was evaluated with 102 participants. In this research, the case study of this research is Zaytoun Logistics Park, all the information and data required for this research were taken from this area, the amount of investment in this huge project is 110 billion tomans to complete this project, of which 5 billion tomans were brought by the investors. Of course, the main problem of Zaytoun Logistics Park is changing the use of the purchased land and issuing permits from the authorities. This bazaar will be established on a land of about 6 and a half hectares in the 18th kilometer of Zanjan-Tehran.
Keywords

-داوری، علی، و رضازاده، آرش (1395). مدل‌سازی معادلات ساختاری با نرم­افزار PLS. چاپ سوم، سازمان انتشارات
جهاد دانشگاهی تهران.
-شوماخر، رندال. و لومکس، ریچارد (1388). مقدمه­ ای بر مدل‌سازی معادله ساختاری ­ترجمه وحید قاسمی. چاپ دوم، انتشارات جامعه­شناسان تهران.
- Braunscheidel, M. J., & Suresh, N. C. (2009). The organizational antecedents of a firm’s supply chain agility for risk mitigation and response. Journal of Operations Management27(2), 119-140.
- Cavinato, J. L. (2004). Supply chain logistics risks: From the back room to the board room. International Journal of Physical Distribution & Logistics Management34(5), 383-387.
- Craighead, C. W., Blackhurst, J., Rungtusanatham, M. J., & Handfield, R. B. (2007). The severity of supply chain disruptions: design characteristics and mitigation capabilities. Decision Sciences38(1), 131-156.
- Ellis, S. C., Henry, R. M., & Shockley, J. (2010). Buyer perceptions of supply disruption risk: A behavioral view and empirical assessment. Journal of Operations Management28(1), 34-46.
- Faulin, J., Grasman, S. E., Juan, A. A., & Hirsch, P. (2019). Sustainable transportation: concepts and current practices. In Sustainable Transportation and Smart Logistics, Elsevier.  3-23.
-Barroso, A. P., Machado, V. H., & Machado, V. C. (2008, December). A supply chain disturbances classification. In 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEE. 1870-1874.
-Blackhurst, J., Craighead, C. W., Elkins, D., & Handfield, R. B. (2005). An empirically derived agenda of critical research issues for managing supply-chain disruptions. International Journal of Production Research43(19), 4067-4081.
-Brandly, M. (2007). Global Trade and Conflicting National Interests by Ralph E. Gomory and William J. Baumol. Cambridge, Mass.: Massachusetts Institute of Technology Press, 2000. The Quarterly Journal of Austrian Economics10(2), 180-188.-­Dubey, R., & Gunasekaran, A. (2015). The role of truck driver on sustainable transportation and logistics. Industrial and Commercial Training47(3), 127-134.
-Sironi, A., & Resti, A. (2007). Risk management and shareholders' value in banking: from risk measurement models to capital allocation policies. John Wiley & Sons.