Faunhofer Project Center for Production Management and Informatics PMI

Filters

2
2
2
2
Reset filters

Settings
Now showing 1 - 2 of 2
  • Publication
    Applying model-reconstruction by exploring MES and PLC data for simulation support of production systems
    ( 2012)
    Pfeiffer, András
    ;
    Kádár, Botond
    ;
    Popovics, Gergely
    ;
    Kardos, Csaba
    ;
    Vén, Zoltán
    ;
    Kemény, Lorinc
    ;
    Monostori, László
    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.
  • Publication
    Uniform Data Structure for Production Simulation
    ( 2012)
    Popovics, Gergely
    ;
    Kardos, Csaba
    ;
    Kemény, Lorinc
    ;
    Gyulai, Dávid
    ;
    Monostori, László
    One of the most widespread techniques to evaluate various aspects of a manufacturing system is discrete-event simulation (DES). However, building a simulation model of a manufacturing system is a difficult task and requires special competence. The majority of simulation studies aimed at analyzing a certain problem by a specific simulation model created by experts. This approach requires relatively high financial expenditures. The paper introduces an ongoing research aimed at developing an application to reduce the costs of a draft simulation study. The input of the simulation models in the proposed methodology is based on ISA-95 standardized data structure. The instantiated input data set can be stored both in MS Excel, XML files or an SQL database. Having the complete input a simulation model can be created automatically without simulation expertise.