کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
381966 660712 2016 13 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله ISI
A decision support system for coordinated disaster relief distribution
ترجمه فارسی عنوان
سیستم پشتیبانی تصمیم گیری برای توزیع امداد رسانی هماهنگ شده
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کلمات کلیدی
لجستیک بشردوستانه؛ وسیله ی نقلیه ی هوایی بدون سرنشین؛ توزیع آخرین مایل؛ سیستم پشتیبانی تصمیم گیری؛ هماهنگی؛ بهینه سازی شبیه سازی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• This paper introduces a DSS to support coordination in disaster relief distribution.
• An MIP and an agent-based simulation with optimization procedures are presented.
• Road closures and off-road as well as unmanned aerial vehicles are considered.
• Computational experiments are based on flood scenarios of two Austrian regions.
• Results highlight potentials of coordinated disaster relief distribution.

This paper presents a simulation and optimization based decision-support system (DSS) to facilitate disaster relief coordination between private and relief organizations. The DSS simulates disasters and plans shipments of relief goods via transfer points to demand points in the affected area. This enables decision-makers to analyze the last-mile distribution of goods by scheduling and routing trucks, off-road as well as unmanned aerial vehicles. Roads which are closed or opened during a disaster are considered allowing a dynamic adaptation to real world conditions and a comprehensive analysis over a rolling time-horizon. A mixed-integer problem formulation, an agent-based simulation, a heuristic-based scheduling and routing procedure as well as a Tabu Search metaheuristic are applied to analyze the given decision problem. Coordination between private and relief organization shows to be especially beneficial if time-losses resulting from closed roads are high and substantial unexpected demand occurs. Furthermore, results highlight the importance of selecting suitable transfer points and the potential of simulation and optimization based DSSs to improve disaster relief distribution.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 57, 15 September 2016, Pages 104–116
نویسندگان
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