Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings - 8th EUROSIM Congress on Modelling and Simulation, EUROSIM 2013 |
| Herausgeber/-innen | David Al-Dabass, Richard Cant, Richard Zobel, Khalid Al-Begain, Richard Cant, Alessandra Orsoni, Khalid Al-Begain, Alessandra Orsoni, David Al-Dabass |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 276-281 |
| Seitenumfang | 6 |
| ISBN (elektronisch) | 9780769550732 |
| Publikationsstatus | Veröffentlicht - 2013 |
| Veranstaltung | 8th EUROSIM Congress on Modelling and Simulation, EUROSIM 2013 - Cardiff, Wales, Großbritannien / Vereinigtes Königreich Dauer: 10 Sept. 2013 → 13 Sept. 2013 |
Publikationsreihe
| Name | Proceedings - 8th EUROSIM Congress on Modelling and Simulation, EUROSIM 2013 |
|---|
Abstract
Virtual stochastic sensors (VSS) can reconstruct the system behavior of partially observable systems that may contain concurrent non-Markovian activities. These systems can for example occur in industrial production. In this paper, we apply VSS to reconstructing workflows in a job shop. The example application was designed in cooperation with logistics experts to resemble a real job shop. In order to deal with probabilistic decisions in the workflows, we extended Hidden non-Markovian Models to include immediate transitions and modified the corresponding Proxel-based behavior reconstruction algorithm accordingly. Experimental data was acquired using a setup including a printed layout, RFID sensors and a central data collection unit. We were able to reconstruct the actual workflows from the acquired sensor data, which for the first time shows an application of VSS to real measurement data. This first practical application, and the extension of the modeling paradigm takes us forward to our goal of a realistically applicable method for behavior reconstruction based on partial system observations.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Modellierung und Simulation
- Informatik (insg.)
- Theoretische Informatik und Mathematik
- Informatik (insg.)
- Angewandte Informatik
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
Proceedings - 8th EUROSIM Congress on Modelling and Simulation, EUROSIM 2013. Hrsg. / David Al-Dabass; Richard Cant; Richard Zobel; Khalid Al-Begain; Richard Cant; Alessandra Orsoni; Khalid Al-Begain; Alessandra Orsoni; David Al-Dabass. Institute of Electrical and Electronics Engineers Inc., 2013. S. 276-281 7004956 (Proceedings - 8th EUROSIM Congress on Modelling and Simulation, EUROSIM 2013).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Virtual Stochastic Sensors for Reconstructing Job Shop Production Workflows
AU - Krull, Claudia
AU - Horton, Graham
AU - Denkena, Berend
AU - Dengler, Barbara
PY - 2013
Y1 - 2013
N2 - Virtual stochastic sensors (VSS) can reconstruct the system behavior of partially observable systems that may contain concurrent non-Markovian activities. These systems can for example occur in industrial production. In this paper, we apply VSS to reconstructing workflows in a job shop. The example application was designed in cooperation with logistics experts to resemble a real job shop. In order to deal with probabilistic decisions in the workflows, we extended Hidden non-Markovian Models to include immediate transitions and modified the corresponding Proxel-based behavior reconstruction algorithm accordingly. Experimental data was acquired using a setup including a printed layout, RFID sensors and a central data collection unit. We were able to reconstruct the actual workflows from the acquired sensor data, which for the first time shows an application of VSS to real measurement data. This first practical application, and the extension of the modeling paradigm takes us forward to our goal of a realistically applicable method for behavior reconstruction based on partial system observations.
AB - Virtual stochastic sensors (VSS) can reconstruct the system behavior of partially observable systems that may contain concurrent non-Markovian activities. These systems can for example occur in industrial production. In this paper, we apply VSS to reconstructing workflows in a job shop. The example application was designed in cooperation with logistics experts to resemble a real job shop. In order to deal with probabilistic decisions in the workflows, we extended Hidden non-Markovian Models to include immediate transitions and modified the corresponding Proxel-based behavior reconstruction algorithm accordingly. Experimental data was acquired using a setup including a printed layout, RFID sensors and a central data collection unit. We were able to reconstruct the actual workflows from the acquired sensor data, which for the first time shows an application of VSS to real measurement data. This first practical application, and the extension of the modeling paradigm takes us forward to our goal of a realistically applicable method for behavior reconstruction based on partial system observations.
KW - Analytical simulation
KW - behavior reconstruction
KW - discrete stochastic systems
KW - hidden non-markovian models
KW - virtual stochastic sensors
KW - workflow modelling and simulation
UR - http://www.scopus.com/inward/record.url?scp=84929590254&partnerID=8YFLogxK
U2 - 10.1109/EUROSIM.2013.57
DO - 10.1109/EUROSIM.2013.57
M3 - Conference contribution
AN - SCOPUS:84929590254
T3 - Proceedings - 8th EUROSIM Congress on Modelling and Simulation, EUROSIM 2013
SP - 276
EP - 281
BT - Proceedings - 8th EUROSIM Congress on Modelling and Simulation, EUROSIM 2013
A2 - Al-Dabass, David
A2 - Cant, Richard
A2 - Zobel, Richard
A2 - Al-Begain, Khalid
A2 - Cant, Richard
A2 - Orsoni, Alessandra
A2 - Al-Begain, Khalid
A2 - Orsoni, Alessandra
A2 - Al-Dabass, David
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th EUROSIM Congress on Modelling and Simulation, EUROSIM 2013
Y2 - 10 September 2013 through 13 September 2013
ER -