Semantic Processing of Monitoring Data in Industrial Applications

2009 ◽  
pp. 107-134 ◽  
Author(s):  
Florian Fuchs
Keyword(s):  
Decision Support ◽  
Support System ◽  
Semantic Processing ◽  
Industrial Applications ◽  
Condition Based Maintenance ◽  
Monitoring Data ◽  
Prototype Implementation ◽  
Infrastructure Networks ◽  
Railway Domain

This chapter discusses the potential of semantically processing monitoring data in industrial applications such as condition-based maintenance and monitoring of complex systems and infrastructure networks. It points out the particular requirements involved and gives a comprehensive and structured overview of current approaches and engineering solutions in these fields. As a case study for engineering industrial end-to-end solutions, it presents the design and prototype implementation of a decision support system in the railway domain.

Decision Support System for Radiotherapy Patient Scheduling: Thai Cancer Center Case Study

2021 ◽  
Author(s):  
Chawis Boonmee ◽  
Nirand Pisutha-Arnond ◽  
Wichai Chattinnawat ◽  
Pooriwat Muangwong ◽  
Wannapha Nobnop ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Cancer Center ◽  
Patient Scheduling

scholarly journals Design of Condition-Based Decision Support System for Preventive Maintenance

2017 ◽  
Vol 20 (1) ◽  
pp. 19-22
Author(s):  
Róbert Galamboš ◽  
Jana Galambošová ◽  
Vladimír Rataj ◽  
Miroslav Kavka
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Preventive Maintenance ◽  
Maintenance Costs

Abstract Presented paper deals with the topic of preventive maintenance. A decision support system was designed, incorporating historical as well as forecast information to calculate the time remaining to preventive maintenance. The designed system optimizes maintenance costs without any further investment and running costs. An algorithm of the designed system is introduced and a case study of its implementation is described in the paper.

scholarly journals Validation of a Model Appropriateness Framework Using the Elbe Decision Support System

2011 ◽  
pp. 193-218
Author(s):  
Yue-Ping Xu ◽  
Martijn J. Booij
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
River Basin ◽  
Support System ◽  
River Basin Management ◽  
Development Stage ◽  
Decision Makers ◽  
Basin Management ◽  
Use Of Models

This paper describes validation of an appropriateness framework, which has been developed in a former study, to determine appropriate models under uncertainty in a decision support system for river basin management. Models are regarded as ‘appropriate’ if they produce final outputs within adequate uncertainty bands that enable decision-makers to distinguish or rank different river engineering measures. The appropriateness framework has been designed as a tool to stimulate the use of models in decision-making under uncertainty and to strengthen the communication between modelers and decision-makers. Through the application to a different river with different objectives in this validation study from the river used in the development stage, this paper investigates whether the appropriateness framework works in a different situation than it was designed for. Recommendations from the development stage are taken into account in this validation case study as well. The final results from the study showed a successful validation of the appropriateness framework and suggested further possibilities for the application in decision support systems for river basin management.

Sign in / Sign up

Export Citation Format

Share Document