Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK

Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK

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Semantic Web Framework für die Modellierung und Simulation von Fertigungssystemen

( 2009)
Gocev, P.
;
Mertins, K.
;
Rabe, M.
;
Uhlmann, E.
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.
SME services in an open environment with demand on risk management

( 2008)
Mertins, K.
;
Rabe, M.
;
Weinaug, H.
;
Jäkel, F.-W.
Logistics performance improvement and synchronization of material flow and money flow

( 2007)
Mertins, K.
;
Rabe, M.
;
Schallock, B.
;
Weinaug, H.
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.
Minimisation of lead time by virtual manufacturing cells and lot size harmonisation

( 1999)
Mertins, K.
;
Friedland, R.
;
Rabe, M.
Modeling for planning and operation of global distributed enterprises

( 1998)
Krause, O.
;
Mertins, K.
;
Rabe, M.
Taking advantage of process oriented reference models for setting up federations for distributed simulation in HLA environments

( 1998)
Mertins, K.
;
Rabe, M.
;
Rieger, P.
Designing a computer-aided manufacturing systems engineering process

( 1997)
Mertins, K.
;
Rabe, M.
;
Müller, W.
Reference models for process oriented manufacturing system modelling

( 1997)
Mertins, K.
;
Rabe, M.
;
Müller, W.

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