Relief Logistic Model for Earthquake Conditions Based on Resistive Economy Policy - Case Study of the Ardabil City

Document Type : Original Article

Authors

1 Ph.D., Student, Department of Industrial Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran

2 Assistant Prof., Industrial Engineering Department, AmirKabir Technical University, Tehran, Iran

3 Associate Prof, Department of Industrial Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran

Abstract

Resistive economy requires minor and major policy makings based on optimum use of native and local capacities without putting pressure on people. Also Crisis management is not an exception; because it accompanies with the turmoil of social and economic situation and is necessary to rely on native and local capacities to recover from crisis to before crisis stasis situation as soon as possible. In spite of the numerous threats in the area of natural disasters and Iran's exposure to the 10 most blazing countries in the world, there is no model for Relief Logistics reversing the normal conditions of an earthquake, especially based on the conditions of the resistance economy. To this end, the focus on the key factors of success in increasing the efficiency and effectiveness of crisis management and prioritizing them in order to optimize the allocation of resources is of particular importance. In order to achieve this goal, based on resilient economy policies and based on decision makers and decision makers, system dynamics in the field of system analysis has been used to provide a model for returning to the post-earthquake stability period in order to empower people. And the reversibility of indigenous and local capacities is pursued. The results of this research showed that in the event of an earthquake with an intensity of 8 mercurial in Ardebil If the rescue logistics management has a coherent and scientific system, it can reduce losses and costs of earthquake and help to manage crisis successfully by utilizing the existing facilities of region and with a little aid from adjuvant provinces and other townships of province.
 
 
 

Keywords


احمدی، م.، و سیفی، ع.، و قرهی، علیرضا (1392)، "مدل لجستیک امدادرسانی برای کاهش تلفات پس از زلزله در ابعاد بسیار بزرگ و واقعی". دو فصلنامه علمی و پژوهشی مدیریت بحران، شماره 4، ص. 64- 51.
- رجائیان، م. م.، (1388)،" شبیه سازی سیستم های پویا با نرم افزار (وین سیم)"، مشهد، انتشارات فریاز 
-زارع مهرجردی، ی.، و تیموری، ش.، (1395)، "­کاربردهای پویایی‌های سیستم در صنایع"، تهران، انتشارات مهرجرد.
-فقیه، ن.الف.، (1383)، "سیستم‌های پویا اصول و تعیین هویت"، تهران، انتشارات سمت.
- قبادی، ش.، (1385)، "سیستم داینامیک (کاربردی از تفکر سیستمی)"، تهران، سازمان مدیریت صنعتی. 
 -Akkihal, A., (2006), "inventory Pre-positioning for Humanitarian Operations", Thesis for Degree of Master of Engineering. In Logistics, MIT CTL.
-Powell, J.H., Mustafee, N., Chen, A., Hammond M., (2016), "System-focused risk identification and assessment for disaster preparedness: Dynamic threat analysis", Vol. 254, No. 2, PP. 550-564 
-­Johnson, C., Lizarralde, G., Davidson, C.H., (2006), "A systems view of temporary housing projects in post disaster reconstruction", Construction Management and Economics, Vol. 24, No. 4, PP. 367-378.
-­Sheu J.B., (2010), "Dynamic relief-demand management for emergency logistics operations under large-scale disasters", Transportation Research Part E: Logistics and Transportation Review, Vol. 46, No. 1,
PP. 1-17.
-­Sheu J.B., (2007), “an emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transportation Research Part E: Logistics and Transportation Review, vol. 43, No. 6,
PP. 687-709.
-­Berkoune, D., Renaud, J., Rekik, M., Ruiz, A., (2012), "Transportation in disaster response operations", Socio-Economic Planning Sciences, Vol. 46, No. 1, PP. 23-32.
-­Ertugay, K., Argyroudis, S., Duzgun, S., (2016), "Accessibility modeling in earthquake case considering road closure probabilities: a case study of health and shelter service accessibility in Thessaloniki, Greece", International journal of disaster risk reduction, Vol­. 17, PP. 49-66.   
-­Balcik, B., Beamon M.B., Krejci, C.C., Muramatsu, K.M., Ramirez, M., (2010), "Coordination in humanitarian relief chains:  Practices, challenges and opportunities", International Journal of Production Economics, Vol. 126, No.1, PP. 22-34.
-­Li, Y., Hu, Y., Zhang, X., Deng, Y., Mahadevan, S., (2012), "An evidential DEMATEL method to identify critical success factors in emergency management", Applied Soft Computing, Vol. 22, PP. 504-510.
-Caunhye, A.M., Nie, X., and Pokharel, S., (2014), "Optimization models in emergency logistics: A literature review", Socio-Economic Planning Sciences, Vol. 46, No. 1, pp. 4-13
-­Rawls, C.G., Turnquist, M.A., (2010), "Pre-positioning of emergency supplies for disaster response", Transportation research part B: Methodological, Vol. 44, No. 4, pp. 521-534.