IJE TRANSACTIONS B: Applications Vol. 31, No. 11 (November 2018) 1929-1934    Article in Press

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S. Kazazi Darani and M. Bashiri
( Received: February 06, 2018 – Accepted in Revised Form: October 26, 2018 )

Abstract    One of the most important goals of disaster management teams is to protect the assets and infrastructures of the community in the event of accidents such as wildfires and floods. This issue requires appropriate operations of all disaster management teams and analysis of available information for suitable decision making and consequently timely response. A mixed integer mathematical model is presented and solved for allocating resources to different districts to protect more assets in an available time. The proposed model tries to protect more valuable assets in pre-determined districts with optimized team allocation strategy. Finally, for validating the model, a numerical example is solved with an exact method and the results of various sensitivity analyses have been reported. The computational results indicate the efficiency and applicability of the proposed model in real conditions comparing to existing classic models.


Keywords    Disaster Management, Response Phase, Asset Protection, Multi-Districting, Mixed Integer Programming.



یکی از مهم‌ترین اهداف تیم‌های مدیریت عملیات بحران، مسئله‌ی محافظت از دارایی‌ها و زیربنا‌های مهم و اساسی جامعه در هنگام وقوع حوادثی مانند آتش سوزی و سیل است. این امر خود نیازمند عملکرد مطلوب و صحیح همه اجزاء مدیریت بحران و آنالیز صحیح اطلاعات موجود و داده‌های ورودی جهت تصمیم‌گیری درست و در نتیجه واکنش مناسب می‌باشد. در این مقاله، یک مدل ریاضی به‌منظور کمک به تیم‌ها در جهت تخصیص ‌بهتر منابع برای فعالیت‌های حفاظتی و کاهش خسارات وارد آمده در طول حوادث طبیعی و یا انسان‌ساخت، توسعه داده‌شده است. مدل ریاضی عدد صحیح مختلط برای تخصیص منابع به نواحی مختلف به منظور محافظت از تعداد بیشتری از دارایی ها با توجه به زمان در دسترس ارائه و حل‌شده است. مدل پیشنهادی با توجه به استراتژی تخصیص بهینه تیم‌های امدادی به نواحی از پیش تعیین شده، سعی بر حداکثر کردن تعداد دارایی‌های محافظت شده دارد. در انتها جهت اعتبار‌سنجی مدل ارائه‌شده، یک مثال عددی با روش دقیق حل‌شده و نتایج حاصل از تحلیل حساسیت‌های مختلف گزارش‌شده است. نتایج محاسباتی نشان دهنده کارآیی و کاربردی بودن مدل ارائه شده در شرایط واقعی در مقایسه با مدل‌های کلاسیک است.


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