استراتژی مسیریابی و زمان بندی بهینه وسایل امدادی برای تخلیه افراد سالم در شرایط بحران
محورهای موضوعی :مهدی حیدری 1 , فاطمه صبوحی 2 , علی بزرگی امیری 3
1 - دانشگاه علم و صنعت ایران
2 - دانشگاه علم و صنعت ایران
3 - دانشکده مهندسی صنایع، پردیس دانشکده های فنی، دانشگاه تهران
کلید واژه: مسیریابی زمان بندی پناهگاه فاجعه امدادرسانی,
چکیده مقاله :
هر ساله وقوع بلایای طبیعی مانند زلزله، سونامی، طوفان و .. سبب بی خانمان شدن هزاران نفر، ایجاد خسارت های قابل توجه اجتماعی، اقتصادی و حتی باعث مرگ تعداد زیادی از افراد می شود. پس از وقوع فاجعه یکی از مهم ترین اقدامات حیاتی، تخلیه ی افراد سالم از مناطق حادثهدیده به پناهگاه ها است. در این مقاله یک مدل برنامه ریزی ریاضی خطی عدد صحیح مختلط برای مسیریابی و زمان بندی وسایل امدادی ارائه شده است. که امکان خدمت دهی به افراد سالم در هر منطقه ی حادثهدیده توسط چندین وسیله، امکان خدمت گرفتن از هر پناهگاه توسط چندین وسیله، وجود چندین مرکز بحران، محدودیت تعداد و ظرفیت وسایل، محدودیت ظرفیت پناهگاه ها و محدودیت پنجره های زمانی برای رسیدن وسایل به هر نقطه ی حادثهدیده و به هر پناهگاه در نظر گرفته شده است. در این مدل ریاضی، هدف کمینه سازی کل زمان رسیدن وسایل امدادی به نقاط حادثهدیده و پناهگاه ها است.
Each year natural disasters such as earthquake, tsunamis, hurricanes, etc. due to the thousands of people homeless, cause a significant loss of social, economic and even cause the death of many people. One of the most critical steps after the disaster is to evacuate healthy victims to shelters from disaster areas. We propose a mixed integer linear mathematical programming model to provide the routing and scheduling of relief vehicles with possibility of servicing to healthy people in the each disaster area by several relief vehicles, the possibility of getting service from the each shelter by several relief vehicles, several crisis centers, the number and capacity constraint for each vehicle, capacity constraint for each shelter and time windows constraint to get to relief vehicles to disaster areas and shelters. The objective of the model is to minimize total time to get to relief vehicles to the disaster areas and shelters.
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