Selecting Event Monitoring Points for Optimal Prediction Quality
نویسندگان
چکیده
Organizations strive to optimize their business processes in order to satisfy customer requirements and internal goals. A basic necessity in order to meet time and quality objectives is to monitor an organization’s business processes. Process monitoring makes their execution more transparent and allows to react to observed deviations with corrective actions. This paper focuses on monitoring processes in manual or semi-automatic environments, where the installation of each monitoring point is costly, as it requires effort to measure and record observed progress. During process execution, the allocation of event monitoring points (EMPs) is restricted to certain positions, e.g., the termination of activities. We propose an approach for optimizing the allocation model of EMPs in order to improve the estimation quality. We implemented this approach and show its applicability in a case study of a Dutch hospital for its surgical care process.
منابع مشابه
Online Voltage Stability Monitoring and Prediction by Using Support Vector Machine Considering Overcurrent Protection for Transmission Lines
In this paper, a novel method is proposed to monitor the power system voltage stability using Support Vector Machine (SVM) by implementing real-time data received from the Wide Area Measurement System (WAMS). In this study, the effects of the protection schemes on the voltage magnitude of the buses are considered while they have not been investigated in previous researches. Considering overcurr...
متن کاملEXstream: Explaining Anomalies in Event Stream Monitoring
In this paper, we present the EXstream system that provides high-quality explanations for anomalous behaviors that users annotate on CEP-based monitoring results. Given the new requirements for explanations, namely, conciseness, consistency with human interpretation, and prediction power, most existing techniques cannot produce explanations that satisfy all three of them. The key technical cont...
متن کاملXStream: Explaining Anomalies in Event Stream Monitoring
In this paper, we present the XStream system that provides high-quality explanations for anomalous behaviors that users annotate on CEP-based monitoring results. Given the new requirements for explanations, namely, conciseness, consistency with human interpretation, and prediction power, most existing techniques cannot produce explanations that satisfy all three of them. The key technical contr...
متن کاملMonitoring and Diagnosing Multistage Processes: A Review of Cause Selecting Control Charts
A review of the literature on cause selecting charts (CSCs) in multistage processes is given, with a concentration on developments which have occurred since 1993. Model based control charts and multiple cause selecting charts (MCSCs) are reviewed. Several articles based on normally and non-normally distributed outgoing quality characteristics are analyzed and important issues such as economic d...
متن کاملModeling of Optimal Distances of Surveying Stations for Monitoring Astable Engineering Structures Using Geodetic Methods
Large and astable engineering structures are the great importance and the behavior of such structures is usually made in Geotechnical and Geodetic methods (engineering geodesy). In the geodetic methods, the selection of appropriate surveying stations, in terms of distribution, locations, and distant of the target points to stations the control network, have a significant role in determining th...
متن کامل