Now showing 1 - 5 of 5
  • Publication
    Milkrun vehicle routing approach for shop-floor logistics
    ( 2013)
    Gyulai, D.
    ;
    Pfeiffer, A.
    ;
    Sobottka, T.
    ;
    Váncza, J.
    In large-scale shop floors and manufacturing environment, different transportation systems are applied in order to satisfy the material requirements of the systems. The limited capacity of vehicles and time consumption of the logistics processes require effective vehicle routing approaches so as to support production without glitches. The paper gives an overview of the appropriate models and the most efficient solver algorithms of the vehicle routing problem (VRP), introduces a novel approach that uses a novel initial solution generation heuristics, and presents a local search method to solve the VRP. In order to demonstrate the capabilities of the solution proposed, the implemented software concentrates on the main industrial requirements like quick response, effective layout definition and order handling. A specific layout representation scheme is proposed which ensures interoperability between different factory-, and shop-floor planning software products.
  • 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
    Execution data connected simulation for production operation planning and control
    ( 2012)
    Kádár, B.
    ;
    Pfeiffer, A.
    ;
    Monostori, L.
    Due to the large number of the resources, the frequent reengineering of manufacturing processes and the often changing product types, the maintenance of the simulation model and the provision of up-to-date input data are almost always difficult. The paper introduces new quantitative analysis method including processing time and batch calculation algorithms applied in the automatic building of discrete-event simulation systems. The simulation model and the mentioned algorithms are both directly interfaced with real execution databases and the overall solution supports the shop-floor managers in making control decisions. The applicability of the elaborated approach is illustrated by the results of experiments relying on real historical data.
  • Publication
    Novel it solutions for increasing transparency in production and in supply chains
    ( 2011)
    Monostori, L.
    ;
    Ilie-Zudor, E.
    ;
    Kádár, B.
    ;
    Karnok, D.
    ;
    Pfeiffer, A.
    ;
    Kemény, Zs.
    ;
    Szathmári, M.
    The paper summarises the main challenges and problems related to transparency in production firms and networks. The transparency problem of production are treated from three aspects, i.e., factory level data gathering tight-coupled with productions simulation; extracting knowledge from large, complex, time-dependent noisy and anomalous process logs; and identity-based tracking and tracing services within and beyond organizational borders. For all these fields of industrial relevance novel approaches and solutions are presented.
  • 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.