An appropriate approach to routing disaster relief assessment teams

سال انتشار: 1393
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 781

فایل این مقاله در 11 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

ICSAU02_1739

تاریخ نمایه سازی: 16 خرداد 1394

چکیده مقاله:

After having struck a major natural disaster like earthquake, different organizations run about to decrease losses. These organizations may have their own strategy, but true demand information as their operational feed is the problem that they absolutely have something in common with. Evaluation of demand is one of the most important parts of disaster response operations. Relief assessment teams are a group of vehicles that are dispatched to affected area in order to assessing relief demand. As time is very sensitive factor in disaster management, routing and scheduling these teams is indispensable. The aim of this paper is to formulate this issue more accurate based on two principal problem which is vehicle routing and parallel machine scheduling so that true demand would be available for save and rescue as soon as possible. The performance of approach is tested on a number of randomly generated networks and results show 13 percent improvement in total completion time of operation in comparison of previous approaches.

نویسندگان

Ali Edrisi

Assistant Professor of civil engineering Department, Khaje Nasir University of Technology

Ali Nadi

Master Researcher of civil engineering Department, Khaje Nasir University of Technology

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • Aviv, Yossi. "A time-series framework for supply-chain inventory management." Operations ...
  • Sheu, Jiuh-Bing. " An emergency logistics distribution approach for quick ...
  • Sun, Bingzhen, Weimin Ma, and Haiyan Zhao. " A fuzzy ...
  • Fiedrich, Frank, Fritz Gehbauer, and U. Rickers. "Optimized resource allocation ...
  • Blitch, John G. "Artificial intelligence technologies for robot assisted urban ...
  • Chen, Lichun, and Elise Miller-Hook. "Optimal team deployment in urban ...
  • De la Torre, Luis E, Irina S. Dolinskaya and Karen ...
  • B arb aroso&gcaron , G. "A two-stage stochastic programming framework ...
  • 6zdamar, Linet, Ediz Ekinci, and Beste Ki;ikyazici. "Emergency logistics planning ...
  • Yi, Wei, and Arun Kumar. "Ant colony optimization for disaster ...
  • Huang, Michael, Karen R. Smilowitz, and Burcu Balcik "A continuous ...
  • 18 December 2014, Tabriz , Iran ...
  • Campbell, Ann Melissa, Dieter Vandenbus sche, and William Hermann. "Routing ...
  • Edrissi, Ali, Hossain Poorzahedy, Habibollah Nassiri, and Mehdi Nourinejad. "A ...
  • نمایش کامل مراجع