2017 4th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) 2017
DOI: 10.1109/ict-dm.2017.8275683
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Simulation based strategic decision making in humanitarian supply chain management

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“…Across this literature survey, scenario-dependent weighting is acknowledged but unexplored. Ottenburger and Bai proposed quantifying urban resilience with measures from seven dimensions (e.g., population and demographics, economic development) with weighting "highly dependent on local urban circumstances and conditions" [164]. Massaro et al discussed ensemble measures for epidemic modeling, acknowledging weighting between subpopulations may vary due to the scenario, system, costs, and stakeholder perspectives [165].…”
Section: Ensemble Measuresmentioning
confidence: 99%
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“…Across this literature survey, scenario-dependent weighting is acknowledged but unexplored. Ottenburger and Bai proposed quantifying urban resilience with measures from seven dimensions (e.g., population and demographics, economic development) with weighting "highly dependent on local urban circumstances and conditions" [164]. Massaro et al discussed ensemble measures for epidemic modeling, acknowledging weighting between subpopulations may vary due to the scenario, system, costs, and stakeholder perspectives [165].…”
Section: Ensemble Measuresmentioning
confidence: 99%
“…Many publications established their control interval from curve milestones-e.g. 𝑑𝑑 𝑒𝑒 to 𝑑𝑑 𝑓𝑓 [65], [82], [111], [164], [171], [186], [188]- [191] or 𝑑𝑑 𝑠𝑠 to 𝑑𝑑 𝑓𝑓 [17]- [19], [50], [58], [144]. This approach is appropriate in some cases, such as recovery sequencing, but it should be avoided as a general practice.…”
Section: Notation Curve Milestones and Control Timesmentioning
confidence: 99%
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