Virtual Stochastic Sensors for Reconstructing Job Shop Production Workflows

Claudia Krull, Graham Horton, Berend Denkena, Barbara Dengler
2013 2013 8th EUROSIM Congress on Modelling and Simulation  
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
more » ... nclude 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. Keywords-discrete stochastic systems; hidden non-markovian models; virtual stochastic sensors; behavior reconstruction; workflow modelling and simulation; analytical simulation I. 2013 8th EUROSIM Congress on Modelling and Simulation 978-0-7695-5073-2/13 $26.00
doi:10.1109/eurosim.2013.57 fatcat:4cxwbvd2dnbdldnh7gjlesa42e