Stochastic Multi-Objective Location, Inventory and Routing Models for Perishable Commodities

9812915Daskin这项研究为开发一类新的设施选址模型提供了资金，该模型考虑了综合选址、库存和车辆路线决策，重点是用于处理易腐商品的设施。这些模型将明确地认识到未来需求和成本的内在不确定性，以及设施选址决策的多目标性质。面对不确定性，必须做出长期的选址决策。短期库存和路线决策可以随着时间的推移而修改，以响应不断变化的条件。该模型将识别各种决策上下文的不同时间尺度。将开发新的方法来估计库存和路线成本对位置决策的相互作用。大部分工作将在情景规划背景下进行，使决策者能够探索各种未来条件。这些模型还将允许规划者探索各种通常影响设施选址决策的目标，包括：成本最小化、服务最大化和公平性。这项研究将提高我们在设施选址规划中考虑不确定性和多目标的能力。特别是，将制定新的设施位置模型，以便更好地考虑库存管理和车辆路线，而不需要对这些战术和操作问题进行详细的明确建模。求解数学模型的新方法也将得到发展。这项工作将有助于更好地理解需求不确定性、库存管理和车辆路线对设施选址决策的相互作用的影响。这些模型将适用于各种公共和私营部门的设施选址环境，包括：报纸印刷厂、农业和食品加工设施以及血库。如果成功的话，这些模式将降低这些行业和相关行业的成本，改善客户服务。

9812915Daskin This research provides funding for the development of a new class of facility location models that account for integrated location, inventory and vehicle routing decisions with an emphasis on facilities used to process perishable commodities. The models will explicitly recognize the uncertainty inherent in future demands and costs as well as the multi-objective nature of facility location decisions. In the face of uncertainty, long-term siting decisions must be made. Shorter-term inventory and routing decisions can be modified over time in response to changing conditions. The models will recognize the different time scales of the various decision contexts. New methods of approximating the interactions of inventory and routing costs on location decisions will be developed. Much of the work will be done in a scenario-planning context to enable decision-makers to explore a variety of future conditions. The models will also allow planners to explore a variety of objectives that typically affect facility location decisions including: cost minimization, service maximization and equity. The research will lead to improvements in our ability to account for uncertainty and multiple objectives in facility location planning. In particular, new formulations of facility location models that better account for inventory management and vehicle routing without the need to explicitly model these tactical and operational problems in detail will be developed. New methods of solving the mathematical models will also be developed. This work will lead to an improved understanding of the impacts of the interaction of demand uncertainty, inventory management and vehicle routing on facility location decisions. The models will be applicable in a variety of public and private sector facility siting contexts including: newspaper printing plants, agricultural and food processing facilities, and blood banks. The models will, if successful, lead to reduced costs and improved customer service in these and related industries.