مدیریت بحران

مدیریت بحران

ارائه الگوی جامع مدیریت ریسک حمل و نقل مواد خطرناک در شرایط بحران

نوع مقاله : مقاله علمی - پژوهشی

نویسندگان
علیرضا میرمحمدصادقی 1
هادی آب نیکی 2
حسینعلی حسن پور 2
1 دانشگاه جامع امام حیبن
2 دانشگاه جامع امام حسین
چکیده
چکیده: شتاب توسعه صنعتی به خصوص در کشورهای در حال توسعه، افزایش میزان حمل و نقل مواد خطرناک و به تبع آن افزایش خطرات و حوادث را به همراه داشته که گاهی این خطرات آمیخته با شرایط بحرانی نیز می باشند که موجب پیچیده تر شدن شرایط و سخت تر شدن فرایند مدیریت ریسک می گردد. هدف از این مقاله ارائه مدلی است که ضمن سهولت استفاده دارای جامعیت کافی برای شناسایی و ارزیابی دقیق اجزاء مدیریت ریسک در شرایط پیچیده بحرانی باشد. این مدل از چهار گام شناسایی، تجزیه و تحلیل، ارزیابی و کنترل تشکیل شده و از ابزارهایی مانند پویایی شناسی و AHP فازی استفاده شد و در یک نمونه حمل و نقل هیدرازین در شرایط جنگی پیاده سازی شد. در مرحله شناسایی، 8 معیار و 46 زیرمعیار شناسایی شد. در ارزیابی ریسک محدودیت های مواجهه با شرایط بحران در تعیین حدود قابل قبول مورد توجه قرار گرفت. در مرحله تجزیه و تحلیل ریسک، ضمن معرفی فاکتورهای تصمیم گیری در شرایط بحران، معیارها و زیرمعیارها با AHP فازی وزن دهی گردید که مشخص شد چگالی جمعیتی و امکانات پدافندی بیشترین اهمیت را در ریسک حمل و نقل مواد خطرناک داشته و پس از آن زیرمعیارهای مرتبط با راننده، اهمیت بسزایی دارند. در نهایت، ضمن ارائه طرح ریزی کنترل ریسک، راههای کاهش ریسک به حد قابل قبول، مورد بررسی قرار گرفت. در این مرحله میزان اثرگذاری هر زیرمعیار در ریسک کل محاسبه و لحاظ گردید.
کلیدواژه‌ها
حمل و نقل مواد خطرناک
AHP فازی
پویایی شناسی سیستم
بحران

عنوان مقاله English

A Comprehensive Risk Management Framework for Transport of Hazardous Materials in the crisis

نویسندگان English

Alireza Mirmohammadsadeghi 1
Hadi Abniki 2
Hoseinali Hasanpour 2
1 University of Imam Hussein
2 University of Imam Hussein
چکیده English

Acceleration of industrial development, especially in developing countries, has led to an increase in the transportation of hazardous materials and, consequently, an increase in hazards and accidents, which are sometimes combined with critical conditions that complicate the situation and The risk management process becomes more difficult. The purpose of this paper is to provide a model that is easy to use and comprehensive enough to identify and accurately assess the components of risk management in complex critical situations. This model consisted of four steps of identification, analysis, evaluation and control and used tools such as system dynamics and fuzzy AHP and was implemented in a hydrazine transport sample in war conditions. In the identification stage, 8 criteria and 46 sub-criteria were identified. In the risk assessment phase, the limitations of dealing with crisis situations were considered in determining acceptable limits. In the risk analysis stage, while introducing decision factors in crisis situations, criteria and sub-criteria were weighted with fuzzy AHP, it was found that population density and defense facilities are the most important in the risk of transporting hazardous materials, followed by driver-related sub-criteria. Finally, while presenting risk control planning, ways to reduce risk to an acceptable level were examined. At this stage, the effectiveness of each sub-criterion of total risk was calculated and taken into account

کلیدواژه‌ها English

Transport Hazardous materials
Fuzzy AHP
SD
Crisis
  1. Jasanoff, S, 1994. Learning from Disaster: Risk Management after Bhopal.University of Pennsylvania Press, Philadelphia, 361.
  2. Reason, J, 1997. Managing the risks of Organizational Accidents, Ashgate.
  3. Peter W, 2010. Safety: A Wicked Problem.
  4. Zografos K. G, Androutsopoulos K.N, 2004, A heuristic algorithm for solving hazardous materials distribution problems, European Journal of Operational Research 152, pp. 507–519
  5. Erkuta E, Alpb O ,2007, Designing a road network for hazardous materials shipments, Computers & Operations Research 34, pp. 1389–1405
  6. Peng M, Peng Y, Chen H. 2014, Post-seismic supply chain risk management: A system dynamics disruption analysis approach for inventory and logistics planning. Computs Oper Res; 42(2014): 14-24.

7.Radivojevic, G. Gajovic, V. 2014, Supply chain risk modeling by ahp and fuzzy ahp methods. Journal of Risk Research, 17 , 337–352.

  1. Liu L, Li S, Fan T, Chang X. 2011, Transportation risk assessment of chemical industry supply chain based on a dual model. Procedia Environ Sci; 11(Part A): 393-397.
  2. Shariat Mohaymany A., Khodadadian M, 2008, A routing methodology for hazardous material transportation to reduce the risk of road network, International Journal of Industrial Engineering & Production Research 19(3), pp. 57-65

10.Monprapussorn, D, Thaitakoo, D, Watts, D. J. 2009, Multi criteria decision analysis and geographic information system framework for hazardous waste transport sustainability, Applied Sciences, 9 (2).

  1. Reilly A, Nozick L, Xu N, Jones D, 2012, Game theory-based identification of facility use restrictions for the movement of hazardous materials under terrorist threat, Transportation Research , E 48, pp. 115–131
  2. Pradhananga R, Taniguchi E, Yamad T, 2010, Ant colony system based routing and scheduling for hazardous material transportation. Procedia Social and Behavioral Sciences, 2, pp. 6097–6108
  3. Bronfman C, Vladimir Marianov K, Paredes-Belmar G, and Lüer-Villagra A, 2014, The Maximin HAZMAT Routing Problem, European Journal of Operational Research , 241(1), 1-33.
  4. Yang Q, Chin K, Li Y, 2018, A quality function deployment-based framework for the risk management of hazardous material transportation process, Journal of Loss Prevention in the Process Industries , Vol.52, 81-92.
  5. Gul M. , A. Guneri F , Nasirli M , 2019, A fuzzy-based model for risk assessment of routes in oil transportation, International Journal of Environmental Science and Technology,volume 16, pages4671–4686
  6. Ghaleh S, Omidvari M, Nassiri P, Momeni M, Miri Lavasani M, 2019, Pattern of safety risk assessment in roadfleet transportation of hazardousmaterials (oil materials), Safety Science, Volume 116, Pages 1-12
  7. Jabbari M, Atabi F, Ghorbani R, 2020, Key airborne concentrations of chemicals for emergency response planning in HAZMAT road transportation- margin of safety or survival, Journal of Loss Prevention in the Process Industries. 65 104139
  8. Fabiano, B., Currò, F., Reverberi, A.P., Pastorino, R., 2005. Dangerous good transportation by road: from risk analysis to emergency planning.. Loss Prev. Process Ind. 18 (4–6), 403–413.
  9. Shariat M , Khodadadian M., 2008, A routing methodology for hazardous material transportation to reduce the risk of road network, International Journal of Industrial Engineering & Production Research 19(3), pp. 57-65
  10. Chakrabarti, U. K. and J. K. Parikh, 2011, Route evaluation for hazmat transportation based on total risk e A case of Indian State Highway, Journal of Loss Prevention in the Process Industries 1-7.
  11. Hosseini d.Manish v, 2021, Equitable routing of rail hazardous materials shipments using CVaR methodology, Computers & Operations Research,Volume 129
  12. Ginger Y.Ke, Huiwen,ZhangJames H,Bookbinder, 2020, A dual toll policy for maintaining risk equity in hazardous materials transportation with fuzzy incident rate, International Journal of Production Economics, Volume 227, 107650
  13. Ovidi,V,Sanneke K,Gabriele L, 2020, HazMat transportation safety assessment: Analysis of a “Viareggio-like” incident in the Netherlands, Journal of Loss Prevention in the Process Industries ,Volume 63, 103985
  14. Hernandez L,MichelGendreau, 2020, A framework for assessing hazmat risk at nodes of transport networks, International Journal of Disaster Risk Reduction ,Volume 50, 101854
  15. Nikolai H, 2021, Analysis of different risk models for the hazardous materials vehicle routing problem in urban areas, Cleaner Environmental Systems Volume 2, 100022
  16. ADR., 2015. European Agreement Concerning the International Carriage of Dangerous Goods by Road (Vol. 1). United Nations: ECE/TRANS/242.
  17. Omidvari, M., Nourmoradi, H., Nouri, J., Shamaii, 2013, A. Presenting the pattern of occupational and environmental health risk assessment in oil products transportation. [persian]. Health System Res,. 9 (2), 177–187.

28.Benekos, D. Diamantidis, 2017, On risk assessment and risk acceptance of dangerous goods transportation through road tunnels in Greece, Safety Science, Volume 91, 1-10

  1. Saat, M.R., Werth, C.J., Schaeffer, D., Yoon, H., Barkan, C.P.L. 2014, Environmental risk analysis of hazardous material rail transportation. Hazard Mater., 264, 560–569.
  2. Jabbari M, Khodaparast I, Kasra S, Kavousi A, 2013, Investigation of road transport accidents of hazardous materials in Iran . [persian], Iran Occupational Health,11,5
  3. Habibi, A., Sarafrazi, A., Izadyar, S. 2014,Delphi technique theoretical framework in qualitative research. Int. J. Eng. Sci., 3 (4), 8–13.
  4. Benekos, I., Diamantidis, D. 2017, On risk assessment and risk acceptance of dangerous goods transportation through road tunnels in Greece. Saf. Sci., 91, 1–10.
  5. Kumar, S., Luthra, S., Haleem, A., Mangla, S.K., Garg, D., 2015. Identification and evaluation of critical factors to technology transfer using AHP approach. Int. Strategic Manage. Rev. 3 (1–2), 24–42.
  6. Nouri, J., Omidvari, M., Tehrani, S.M., 2010. Risk assessment and crisis management in gas stations. URL. Int. J. Environ. Res. 4 (1), 143–152.
  7. Li, Y., Wang, W., Liu, B., Zhou, X., 2015. Research on oil spill risk of port tank zone based on fuzzy comprehensive evaluation. Aquatic Procedia. 3, 216–223.
  8. Chang, D.-Y. 1996,Applications of the extent analysis method on fuzzy AHP. Eur. J. Oper. Res., 95 (3), 649–655.
  9. Ambituuni a, Jaime M.Amezaga D, 2015, Risk assessment of petroleum product transportation by road: A framework for regulatory improvement, Safety Science Volume 79, Pages 324-335
مدیریت بحران
دوره 11، ویژه نامه پدافند
ویژه نامه پدافند
اسفند 1401
صفحه 87-106

  • تاریخ دریافت 26 دی 1399
  • تاریخ بازنگری 11 خرداد 1401
  • تاریخ پذیرش 01 بهمن 1401