Faunhofer Project Center for Production Management and Informatics PMI

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  • Publication
    Generic data structure and validation methodology for simulation of manufacturing systems
    ( 2016)
    Popovics, G.
    ;
    Pfeiffer, A.
    ;
    Monostori, L.
    In recent years, the analysis and evaluation of manufacturing systemsâ behaviour and their performance became essential. Discrete event simulation (DES) as a digital enterprise technology is an effective tool both in production related decision support processes and in structure or performance analysis of manufacturing systems. Building a DES model of a manufacturing system is a difficult task and requires special competence. Reducing the efforts spent on draft simulation is the aim of an ongoing research which is presented in the paper. The developed framework simplifies and accelerates the process of model building. A production oriented implementation of the ANSI/ISA-95 standard was used by the proposed modelling methodology to define a generic data structure supporting the creation of models without specific knowledge related to the simulation software applied. The data structure enables the development and application of proprietary simulation engines tailored for specific problems.
  • Publication
    An approach to determine simulation model complexity
    ( 2016)
    Popovics, G.
    ;
    Monostori, L.
    Discrete event simulation (DES) is an essential tool for planning, operating and evaluating manufacturing systems. Estimation of simulation model complexity provides several advantages in the planning phase of a simulation project. For this purpose some measures of the simulation model's complexity are indispensable. The paper presents an approach to determine the complexity of DES models by combining several parameters describing simulation models. The potentials of the proposed approach are examined via industrial cases.
  • Publication
    ISA standard simulation model generation supported by data stored in low level controllers
    ( 2013)
    Popovics, G.
    ;
    Monostori, L.
    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 needs great resource expenditures. Automated data collection and model buildup can drastically reduce the time of the design phase as well as support model reusability. Since most of the manufacturing systems are controlled by low level controllers (e.g., PLCs, CNCs) they inherently store structure and control logic of the system to be modeled by a DES system. The paper introduces an ongoing research of PLC code processing method for automatic ISA standard simulation model generation of a conveyor system of a leading automotive factory. Results of the validation process and simulation experiments are also described through a case study.
  • Publication
    Automatic simulation model generation supported by data stored in low level controllers
    ( 2012)
    Popovics, G.
    ;
    Kardos, C.
    ;
    Pfeiffer, A.
    ;
    Kádár, B.
    ;
    Vén, Z.
    ;
    Monostori, L.
    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 needs great resource expenditures. Automated data collection and model buildup can drastically reduce the time of the design phase as well as support model reusability. Since most of the manufacturing systems are controlled by low level controllers (e.g., PLCs, CNCs) they store structure and control logic of the system to be modeled by a DES system. The paper introduces an ongoing research of PLC program processing method for automatic simulation model generation of a conveyor system of a leading automotive factory. Results of the validation process and simulation experiments are also described through a case study.
  • Publication
    PLC code processing for automatic simulation model generation
    ( 2011)
    Popovics, G.
    ;
    Pfeiffer, A.
    ;
    Kadar, B.
    ;
    Ven, Z.
    ;
    Monostori, L.
    One of the most widespread techniques to evaluate various aspects of a manufacturing system is discreteevent simulation (DES) (Banks 1998, Law and Kelton 2000, O'Rielly and Lilegdon 1999). However, building a simulation model of a manufacturing system is a difficult task and needs great resource expenditures. Automated data collection and model buildup can drastically reduce the time of the design phase as well as support model reusability. Since most of the manufacturing systems are controlled by low level controllers (e.g., PLCs, CNCs) they store structure and control logic of the system to be modeled by a DES system. The paper introduces an ongoing research of PLC code processing method for automatic simulation model generation of a conveyor system of a leading automotive factory. Results of the validation process and simulation experiments are also described through a case study.