Queueing Models and Optimization for Healthcare System Design and Improvement

医疗系统设计和改进的排队模型和优化

• 批准号: RGPIN-2016-06344
• 负责人: Almehdawe, Eman
• 金额: $ 1.68万
• 依托单位: University of Regina
• 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=636772
• 关键词: Queueing; Models; Optimization; Healthcare; System

Simulation has been the dominant tool for healthcare operations management for the last two decades. Despite its ability to model complex stochastic systems by incorporating all the details into a single model, simulation models are mainly useful for validation and actual implementation. Queueing models are good for developing valuable insights into operational decision making in situations with inherent uncertainty, and have been increasingly used to address complex problems in areas such as telecommunications, flexible manufacturing, and inventory management. Queueing models have been proven to generate reliable results for general settings with minimum input data. Despite its obvious advantages, queueing theory has been underutilized in solving healthcare system operational problems because of the required modeling assumptions and the difficulty encountered in solving those models.

在过去的二十年里，模拟一直是医疗运营管理的主要工具。尽管它能够通过将所有细节合并到单个模型中来建模复杂的随机系统，但仿真模型主要用于验证和实际实施。在具有内在不确定性的情况下，决策模型有助于对运营决策制定进行有价值的见解，并且越来越多地用于解决电信，柔性制造和库存管理等领域的复杂问题。实践证明，在一般情况下，使用最少的输入数据就可以生成可靠的结果。尽管其明显的优势，但由于所需的建模假设和在解决这些模型时遇到的困难，嵌入式理论在解决医疗系统运营问题时一直未得到充分利用。