Enhancing facility location modeling and optimization

加强设施选址建模和优化

• 批准号: 249490-2008
• 负责人: Castillo, Ignacio
• 金额: $ 1.24万
• 依托单位: Wilfrid Laurier University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=497688
• 关键词: Enhancing; facility; location; modeling; optimization

One of the most important ways an industrial firm, retail outlet, or government agency can enhance its chances of success is to identify good facility locations. One approach is to use location-allocation models that optimally locate service or manufacturing facilities and allocate demand or supply to them: the intent is to find the best set of locations and service areas for these facilities. Location/logistics models are defined by their objective functions and what are thought to be realistic constraints. However, the objective functions and the constraints in the classic models tend to be quite simple. Consider, for instance, the most popular location-allocation model, the p-median, where the objective is plainly to minimize the distance (or travel cost) between demand and facility points. In many real-world situations, assumptions as uncapacitated facilities, demand points that are allocated to the closest facility (traditionally a constraint in the optimization models), and point-to-point service are unrealistic. Relaxing or removing some of these assumptions is critical to enhancing facility location modeling and optimization in an attempt to generate solutions that better incorporate real-world conditions.

工业企业、零售店或政府机构提高成功机会的最重要方法之一是确定良好的设施位置。 一种方法是使用位置分配模型，最佳地定位服务或制造设施，并向它们分配需求或供应：目的是为这些设施找到最佳的位置和服务区域。 位置/物流模型是由它们的目标函数和被认为是现实的约束来定义的。 然而，经典模型中的目标函数和约束条件往往非常简单。 例如，考虑最流行的位置分配模型，p-中位数，其目标显然是最小化需求点和设施点之间的距离（或旅行成本）。 在许多现实情况下，假设无容量限制的设施，分配给最近设施的请求点（传统上是优化模型中的约束）和点对点服务是不现实的。 放松或删除其中一些假设对于增强设施位置建模和优化以尝试生成更好地结合现实世界条件的解决方案至关重要。