Improving Operations in Services and Manufacturing Using Queuing Models

在制造业和服务业的许多应用中，决策模型适合于提供决策指南。本提案的长期目标是促进对嵌入理论的认识并加强其应用。我将专注于提高我们对排队模型及其应用的理解，以解决医疗保健和制造公司的问题，在这些公司中，等待时间和流动时间很重要。许多企业的运营可以通过为不同的客户类别提供不同的服务水平来改善。然而，从理论上讲，解决具有多个顾客类别的排队系统是非常困难的。我最近在这方面的研究可以应用于解决一系列广泛的这种模糊模型。在医疗保健方面，长时间的等待不仅会导致患者不快乐，还会导致患者不健康。鉴于在医疗保健服务中管理等待时间的重要性，经常使用分类和优先级排序。也就是说，急诊病人应该在几分钟内就能看到，而不那么紧急的病人可能要等几个小时。我将在医疗保健应用中提出有效的控制策略，例如血库。这些政策可以提高医疗质量，甚至延长加拿大和其他国家患者的寿命。有效的供应链控制对许多生产企业和零售商的竞争力至关重要。供应链的控制模型包括原材料供应、基于预测的生产计划、产品分销和分配给零售商。我将在考虑流动时间的同时描述SC的性能。这项工作有可能导致新的控制政策，SC。总的来说，我的研究计划的影响将通过对方法的贡献，顶级出版物，高素质人员的培训，吸引更多的研究人员使用我们开发的方法，从这些研究中产生的洞察力，以及将这些洞察力和模型应用于应用程序来衡量。

Queueing models are appropriate in providing guidelines on decisions in many applications in both the manufacturing and the service industries. The long term goal of this proposal is to contribute to the knowledge on queueing theory and enhance its application. I will focus on improving our understanding of queueing models and their applications to solve problems in healthcare and manufacturing companies, where waiting- and flow-times are important. The operations of many businesses can be improved by providing different service levels to different customer classes. However, from a theoretical point of view, solving queueing systems with several customers' classes is very difficult. My recent research in this area can be applied to solve a wide array of such queueing models. In healthcare, long waiting times may result not only in unhappy patients, but also unhealthy ones. Given the importance of managing waiting times in healthcare services triage and prioritization are often used. That is, emergency patients should be seen within minutes, whereas less urgent patients may wait for hours. I will suggest effective control policies in healthcare applications, such as blood banks. Such policies can improve the quality of healthcare and even increase longevity of patients in Canada and other countries. Effective supply chain (SC) control is critical to the competitiveness of many production firms and retailers. Models for the control of SCs encompass the supply of raw material, the production plan in view of forecasts, and the product distribution and allocation to retailers. I will characterize the performance of SCs while considering flow-times. This work has the potential to lead to novel controls policies for SCs. Overall, the impact of my research program would be measured by contributions to methodology, top tier publications, training for highly qualified personal, attracting additional researchers to use the methodologies we develop, the insight generated from these studies, and applying these insights and models in applications.