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Characteristics of service requests and service processes of fire and rescue service dispatch centers: Analysis of real world data and the underlying probability distributions

机译:消防和救援服务调度中心的服务请求和服务过程的特征:真实世界数据和潜在概率分布的分析

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A sufficient staffing level in fire and rescue dispatch centers is crucial for saving lives. Therefore, it is important to estimate the expected workload properly. For this purpose, we analyzed whether a dispatch center can be considered as a call center. Current call center publications very often model call arrivals as a non-homogeneous Poisson process. This bases on the underlying assumption of the caller's independent decision to call or not to call. In case of an emergency, however, there are often calls from more than one person reporting the same incident and thus, these calls are not independent. Therefore, this paper focuses on the dependency of calls in a fire and rescue dispatch center. We analyzed and evaluated several distributions in this setting. Results are illustrated using real-world data collected from a typical German dispatch center in Cottbus ("Leitstelle Lausitz"). We identified the Pólya distribution as being superior to the Poisson distribution in describing the call arrival rate and the Weibull distribution to be more suitable than the exponential distribution for interarrival times and service times. However, the commonly used distributions offer acceptable approximations. This is important for estimating a sufficient staffing level in practice using, e. g., the Erlang-C model.
机译:消防和救援调度中心的足够人员配备对于挽救生命至关重要。因此,正确估计预期的工作量很重要。为此,我们分析了调度中心是否可以视为呼叫中心。当前的呼叫中心出版物经常将呼叫到达建模为不均匀的Poisson过程。这基于呼叫者独立决定是否呼叫的基本假设。但是,在紧急情况下,经常会有来自多个人的呼叫报告同一事件,因此,这些呼叫不是独立的。因此,本文着眼于消防救援调度中心呼叫的依赖性。我们在这种情况下分析和评估了几种分布。使用从在科特布斯(“ Leitstelle Lausitz”)的典型德国调度中心收集的实际数据来说明结果。我们在描述呼叫到达率和Weibull分布方面,将Pólya分布优于Poisson分布,在到达间隔时间和服务时间方面,它比指数分布更适合。但是,常用的分布提供了可接受的近似值。这对于在实践中使用例如,估计足够的人员配备水平很重要。例如Erlang-C模型。

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