Integration of process mining techniques in simulation results analysis

2019 ◽  
Author(s):  
Irīna Šitova ◽  
Jeļena Pečerska
Keyword(s):  
Process Mining ◽  
Process Analysis ◽  
Discrete Event ◽  
Discrete Event System ◽  
Log Analysis ◽  
Related Information ◽  
Event Logs ◽  
Event System ◽  
Simulation Results ◽  
Parameter Values

The research is carried out in the area of analysis of simulation results. The aim of this research is to explore the applicability of process mining techniques, and to introduce the process mining techniques integration into results analysis of discrete-event system simulations. As soon as the dynamic discrete-event system simulation (DESS) is based on events list or calendar, most of simulators provide the events lists. These events lists are interpreted as event logs in this research, and are used for process mining. The information from the events list is analysed to extract process-related information and perform in-depth process analysis. Event log analysis verified applicability of the proposed approach. Based on the results of this research, it can be concluded that process mining techniques in simulation results analysis provide a possibility to reveal new knowledge about the performance of the system, and to find the parameter values providing the advisable performance.

scholarly journals Inference of fault signatures of discrete-event systems from event logs

10.29007/qmpw ◽  
2018 ◽  
Author(s):  
Cody Christopher ◽  
Yannick Pencolé ◽  
Alban Grastien
Keyword(s):  
Discrete Event Systems ◽  
Discrete Event ◽  
Discrete Event System ◽  
Event Logs ◽  
Event System ◽  
Event Systems ◽  
Behavioural Model ◽  
Diagnosis Method

In this paper, we propose a method to diagnose faults in a discrete event system that only relies on past observed logs and not on any behavioural model of the system. Given a set of tagged logs produced by the system, the first objective is to extract from them a set of fault signatures. These fault signatures are represented with a set of critical observations that are the support of the diagnosis method. We first propose a method to compute the fault signatures from an initial log journal and follow with detail on how the signatures can then be updated when new logs are available.

scholarly journals Discrete Event System Control in Max-Plus Algebra: Application to Manufacturing Systems

2020 ◽  
Vol 53 (4) ◽  
pp. 143-150
Author(s):  
Gabriel Freitas Oliveira ◽  
Renato Markele Ferreira Candido ◽  
Vinicius Mariano Gonçalves ◽  
Carlos Andrey Maia ◽  
Bertrand Cottenceau ◽  
...  
Keyword(s):  
Manufacturing Systems ◽  
Discrete Event ◽  
Discrete Event System ◽  
System Control ◽  
Event System

scholarly journals Mitigation of Classes of Attacks using a Probabilistic Discrete Event System Framework

2020 ◽  
Vol 53 (4) ◽  
pp. 35-41
Author(s):  
Ze Yang Wang ◽  
Rômulo Meira-Góes ◽  
Stéphane Lafortune ◽  
Raymond H. Kwong
Keyword(s):  
Discrete Event ◽  
Discrete Event System ◽  
System Framework ◽  
Event System
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