Now showing 1 - 10 of 19
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Distributed modelling and simulation of supply chains

2005 , Mertins, K. , Rabe, M. , Jäkel, F.-W.

The behaviour of supply chains, especially those in which several enterprises are involved, is often difficult to predict. For the analysis of such systems, which cannot be evaluated by analytical models, discrete event simulation is an adequate technology. The competence of the local engineers about the single chain elements has to be incorporated into the simulation models. This can be done best by establishing local models, representing the local section of the supply chain. Up to now, integrating such local models into one complete model was time consuming and error prone. Even more critical, local maintenance of partial models was inhibited. A new approach solves this problem, exploiting the advantages of distributed simulation. Furthermore, this approach provides encapsulation, if supply chain partners do not wish to publish details of their node to other partners. The interfacing description is based on the High Level Architecture (HLA) and generates Extensible Markup Language (XML) files, which provide a specification of each supply chain node and its interfaces.

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Unternehmens- und Fabrikplanung

2000 , Mertins, K. , Rabe, M. , Jochem, R.

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Designing a computer-aided manufacturing systems engineering process

1998 , Mertins, K. , Rabe, M. , Müller, W.

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Simulations-Referenzmodelle erschließen neue Potentiale

1996 , Mertins, K. , Rabe, M. , Friedland, R.

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Capacity assignment of virtual manufacturing cells by applying lot size harmonization

2000 , Mertins, K. , Friedland, R. , Rabe, M.

Decentralized manufacturing cells minimize the lead time of products. However, technical and economical restrictions can prohibit the installation of permanent cells. A possibility to overcome these restrictions is 'virtual manufacturing cells'. These cells are defined by production teams who are responsible for the complete process of a group of products. Unlike permanent cells, the layout can be kept in a workshop structure. This results in a double competition between the orders and between production teams for the use of capacities. A new approach to solving this double competition is to limit the occupation time of capacity units. Combined with alternating access to resources by the production teams, this ensures a clearly defined order sequence. A successful way to achieve the limitation of occupation time is the harmonization of lot sizes. This analytical method should be supported by simulation to consider the dynamic behaviour. The authors have developed a simu lation reference model to limit the expense of simulation studies for this purpose.

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Hohe Lieferbereitschaft trotz niedriger Bestände

1999 , Mertins, K. , Ohnemus, K. , Rabe, M. , Friedland, R.

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Ziehendes Produktionsmanagement

1997 , Mertins, K. , Rabe, M. , Rieger, P.

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Capacity assignment of virtual manufacturing cells by applying lot-size harmonization

2000 , Mertins, K. , Friedland, R. , Rabe, M.

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Simulation optimiert die Unternehmenslogistik

1999 , Mertins, K. , Ohnemus, K. , Rabe, M. , Friedland, R.

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Kontinuierliche Unternehmensentwicklung. Evolution und Revolution

1996 , Mertins, K. , Rabe, M.