Resource Flexibility for Uncertainty Mitigation in Production and Service Systems

缓解生产和服务系统中不确定性的资源灵活性

• 批准号: 0856600
• 负责人: Sigrun Andradottir
• 金额: $ 36万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0856600&HistoricalAwards=false
• 关键词: Resource; Flexibility; Uncertainty; Mitigation; Production

This grant provides funding for research aimed at determining how an organization can best use flexible resources to prepare for uncertainty in demand, supply, and capacity. The project is focused on, but not limited to, organizations that can be modeled as queueing networks and where throughput is the primary performance measure of interest. The goal is to achieve the best possible performance in the present market environment, while simultaneously having the ability to shift capacity between any two tasks, products, or services in response to uncontrollable changes in the environment. This goal is realized through the use of an appropriate flexibility structure that specifies what tasks individual workers and other resources are trained or configured for. The three major components of the project are to (i) provide criteria for determining whether a given flexibility structure satisfies the previously-stated goal, and if not, identify how the flexibility structure may be enhanced; (ii) develop metrics that can predict which flexibility structures are most effective; and (iii) ensure that our criteria and metrics are computationally efficient and broadly applicable. In the process, we will determine how flexible resources should be assigned to tasks in real time to achieve the best possible performance.If successful, this research will lead to techniques that can be used to increase the competitiveness of the U.S. production and service sectors at low cost through better use of available resources. Specifically, the project involves developing effective criteria and metrics that practitioners can use to assess the merits of individual flexibility structures and study how they may be enhanced. These techniques will be computationally efficient and broadly applicable to different organizations, including call centers, healthcare delivery, computer services, and supply chains.

该赠款为研究提供了资金，旨在确定组织如何最好地使用灵活的资源来为需求，供应和能力的不确定性做准备。 该项目的重点是但不限于可以建模为排队网络的组织，而吞吐量是兴趣的主要绩效指标。 目的是在当前市场环境中实现最佳性能，同时具有在环境中无法控制的两项任务，产品或服务之间转移容量的能力。 通过使用适当的灵活性结构来实现此目标，该结构指定了为哪些任务和其他资源进行培训或配置的任务。 该项目的三个主要组成部分是（i）提供标准，以确定给定的柔韧性结构是否满足先前陈述的目标，并确定如何增强灵活性结构； （ii）开发可以预测哪些灵活性结构最有效的指标； （iii）确保我们的标准和指标在计算上是有效且广泛适用的。 在此过程中，我们将确定如何实时将灵活资源分配给任务以实现最佳性能。通过更好地利用可用资源来低成本。 具体而言，该项目涉及制定有效的标准和指标，从业人员可以用来评估个人灵活性结构的优点并研究它们如何增强。这些技术将在计算上有效，并广泛适用于不同的组织，包括呼叫中心，医疗保健交付，计算机服务和供应链。