Now showing 1 - 5 of 5
  • Publication
    Semantic Web Framework für die Modellierung und Simulation von Fertigungssystemen
    ( 2009)
    Gocev, P.
    ;
    Mertins, K.
    ;
    Rabe, M.
    ;
    Uhlmann, E.
  • Publication
    SME services in an open environment with demand on risk management
    ( 2008)
    Mertins, K.
    ;
    Rabe, M.
    ;
    Weinaug, H.
    ;
    Jäkel, F.-W.
  • Publication
    Integration of factory planning and ERP/MES systems: Adaptive simulation models
    ( 2008)
    Mertins, K.
    ;
    Rabe, M.
    ;
    Gocev, P.
    The purpose of this paper is to demonstrate the approach of a scalable, flexible and adaptive simulation model used in factory planning on the basis of existing ERP and MES data. The dynamic simulation model was developed to validate and verify the changes of the production yield during factory planning and restructuring in the shop floor. This includes machinery relocation and ramp-up, new product phase-in, product portfolio changes and new product qualification processes. The objective is to enable an industrial engineer without simulation knowledge and experience to perform the simulations. Moreover, the model facilitates an analysis of the results for different scenarios, using the actual data from the ERP and MES systems.
  • Publication
    Logistics performance improvement and synchronization of material flow and money flow
    ( 2007)
    Mertins, K.
    ;
    Rabe, M.
    ;
    Schallock, B.
    ;
    Weinaug, H.
  • Publication
    Inter-enterprise planning of manufacturing systems applying simulation with IPR protection
    ( 2005)
    Mertins, K.
    ;
    Rabe, M.
    Discrete Event Simulation is a well-proved method to analyse the dynamic behaviour of manufacturing systems. However, simulation application is still poor for external supply chains or virtual enterprises, encompassing several legal entities. Most conventional simulation systems provide no means to protect intellectual property rights (IPR), nor methods to support cross-enterprise teamwork. This paper describes a solution to keep enterprise models private, but still provide their functionality for cross-enterprise evaluation purposes. Applying the new modelling system, the inter-enterprise business process is specified by the user, including a specification of the objects exchanged between the local models. The required environment for a distributed simulation is generated automatically. The mechanisms have been tested with a large supply chain model.