New Directions in Locational Analysis, Environmental Modelling and Humanitarian Logistics

位置分析、环境建模和人道主义物流的新方向

• 批准号: RGPIN-2015-05904
• 负责人: Krass, Dmitry
• 金额: $ 1.6万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636705
• 关键词: New; Directions; Locational; Analysis; Environmental

In most GIS/GPS applications consumer demand is represented as continuously distributed over a certain geographical region. Yet, most facility location models assume the demand originates from a discrete set of points, leading to potentially large aggregation errors. In addition to the practical importance of modeling continuously distributed demand, this research has the potential to provide insights into characteristics of optimal solutions: What do optimal facility configurations look like under different conditions? What changes can be expected when some fundamental system parameters (e.g., reliability of facilities) changes? Such insights are often impossible to provide in discrete location settings.

在大多数地理信息系统/全球定位系统应用中，消费者的需求被表示为连续分布在某一地理区域。然而，大多数设施选址模型假设需求来源于一组离散的点，导致潜在的大的聚合误差。除了连续分布的需求建模的实际重要性，这项研究有可能提供洞察的最佳解决方案的特点：什么是最佳的设施配置看起来像在不同的条件下？当一些基本系统参数（例如，设备的可靠性）的变化？在离散的位置设置中，通常不可能提供这样的见解。