Applying model-reconstruction by exploring MES and PLC data for simulation support of production systems

Andras Pfeiffer, B. Kádár, Gergely Popovics, Csaba Kardos, Zoltan Ven, Lorinc Kemeny, L. Monostori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The paper introduces a discrete-event simulation-based decision supporting system aiming at automatically mirroring the current state of a large-scale material handling system of a production system in a digital model and supporting the analysis of diverse control settings and rules. The discrete-event digital model is built in an automated way and all the data necessary for the model are taken from a manufacturing execution system (MES) and additionally directly from programmable logic controllers (PLC). Main focus is given to present the results of the PLC program code processing method (code mapping) generating a structured dataset, as well as the model-reconstruction method for the simulation software. The easy-of-use support tool is intended to be used both in planning and operation phases of an automotive manufacturing company, thus the capabilities of model reconstruction and simulation are tested on real-world data.

Original languageEnglish
Title of host publicationProceedings - Winter Simulation Conference
DOIs
Publication statusPublished - 2012
Event2012 Winter Simulation Conference, WSC 2012 - Berlin, Germany
Duration: Dec 9 2012Dec 12 2012

Other

Other2012 Winter Simulation Conference, WSC 2012
CountryGermany
CityBerlin
Period12/9/1212/12/12

Fingerprint

Programmable Logic Controller
Programmable logic controllers
Production Systems
Manufacturing
Simulation
Decision System
Materials Handling
Model
Discrete Event
Materials handling
Discrete event simulation
Tool Support
Simulation Software
Discrete Event Simulation
Planning
Necessary
Processing
Industry

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Computer Science Applications

Cite this

Pfeiffer, A., Kádár, B., Popovics, G., Kardos, C., Ven, Z., Kemeny, L., & Monostori, L. (2012). Applying model-reconstruction by exploring MES and PLC data for simulation support of production systems. In Proceedings - Winter Simulation Conference [6465069] https://doi.org/10.1109/WSC.2012.6465069

Applying model-reconstruction by exploring MES and PLC data for simulation support of production systems. / Pfeiffer, Andras; Kádár, B.; Popovics, Gergely; Kardos, Csaba; Ven, Zoltan; Kemeny, Lorinc; Monostori, L.

Proceedings - Winter Simulation Conference. 2012. 6465069.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pfeiffer, A, Kádár, B, Popovics, G, Kardos, C, Ven, Z, Kemeny, L & Monostori, L 2012, Applying model-reconstruction by exploring MES and PLC data for simulation support of production systems. in Proceedings - Winter Simulation Conference., 6465069, 2012 Winter Simulation Conference, WSC 2012, Berlin, Germany, 12/9/12. https://doi.org/10.1109/WSC.2012.6465069
Pfeiffer A, Kádár B, Popovics G, Kardos C, Ven Z, Kemeny L et al. Applying model-reconstruction by exploring MES and PLC data for simulation support of production systems. In Proceedings - Winter Simulation Conference. 2012. 6465069 https://doi.org/10.1109/WSC.2012.6465069
Pfeiffer, Andras ; Kádár, B. ; Popovics, Gergely ; Kardos, Csaba ; Ven, Zoltan ; Kemeny, Lorinc ; Monostori, L. / Applying model-reconstruction by exploring MES and PLC data for simulation support of production systems. Proceedings - Winter Simulation Conference. 2012.
@inproceedings{8da6ca6bf0a644019eaaf5b1d121f986,
title = "Applying model-reconstruction by exploring MES and PLC data for simulation support of production systems",
abstract = "The paper introduces a discrete-event simulation-based decision supporting system aiming at automatically mirroring the current state of a large-scale material handling system of a production system in a digital model and supporting the analysis of diverse control settings and rules. The discrete-event digital model is built in an automated way and all the data necessary for the model are taken from a manufacturing execution system (MES) and additionally directly from programmable logic controllers (PLC). Main focus is given to present the results of the PLC program code processing method (code mapping) generating a structured dataset, as well as the model-reconstruction method for the simulation software. The easy-of-use support tool is intended to be used both in planning and operation phases of an automotive manufacturing company, thus the capabilities of model reconstruction and simulation are tested on real-world data.",
author = "Andras Pfeiffer and B. K{\'a}d{\'a}r and Gergely Popovics and Csaba Kardos and Zoltan Ven and Lorinc Kemeny and L. Monostori",
year = "2012",
doi = "10.1109/WSC.2012.6465069",
language = "English",
isbn = "9781467347792",
booktitle = "Proceedings - Winter Simulation Conference",

}

TY - GEN

T1 - Applying model-reconstruction by exploring MES and PLC data for simulation support of production systems

AU - Pfeiffer, Andras

AU - Kádár, B.

AU - Popovics, Gergely

AU - Kardos, Csaba

AU - Ven, Zoltan

AU - Kemeny, Lorinc

AU - Monostori, L.

PY - 2012

Y1 - 2012

N2 - The paper introduces a discrete-event simulation-based decision supporting system aiming at automatically mirroring the current state of a large-scale material handling system of a production system in a digital model and supporting the analysis of diverse control settings and rules. The discrete-event digital model is built in an automated way and all the data necessary for the model are taken from a manufacturing execution system (MES) and additionally directly from programmable logic controllers (PLC). Main focus is given to present the results of the PLC program code processing method (code mapping) generating a structured dataset, as well as the model-reconstruction method for the simulation software. The easy-of-use support tool is intended to be used both in planning and operation phases of an automotive manufacturing company, thus the capabilities of model reconstruction and simulation are tested on real-world data.

AB - The paper introduces a discrete-event simulation-based decision supporting system aiming at automatically mirroring the current state of a large-scale material handling system of a production system in a digital model and supporting the analysis of diverse control settings and rules. The discrete-event digital model is built in an automated way and all the data necessary for the model are taken from a manufacturing execution system (MES) and additionally directly from programmable logic controllers (PLC). Main focus is given to present the results of the PLC program code processing method (code mapping) generating a structured dataset, as well as the model-reconstruction method for the simulation software. The easy-of-use support tool is intended to be used both in planning and operation phases of an automotive manufacturing company, thus the capabilities of model reconstruction and simulation are tested on real-world data.

UR - http://www.scopus.com/inward/record.url?scp=84874692176&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84874692176&partnerID=8YFLogxK

U2 - 10.1109/WSC.2012.6465069

DO - 10.1109/WSC.2012.6465069

M3 - Conference contribution

AN - SCOPUS:84874692176

SN - 9781467347792

BT - Proceedings - Winter Simulation Conference

ER -