GRAMOSA framework for graphical modelling and simulation-based analysis of complex production processes

Abstract

The adequate planning of production processes is a big challenge, in which model-based planning concepts help to manage and to structure the accruing data. By using conceptual process models, like Business Process Modelling Notation, Event-driven Process Chains, etc., the consistent description of material flows is often neglected, meaning that the transformation into material flow simulation models is often impossible. Complex production processes with branched material flows are particularly difficult to model in a simulation driven way. This paper presents the modelling concept GRAMOSA (graphical modelling and simulation-based analysis) as an integrated approach for the material flow-oriented modelling of complex production processes. A new notation as part of an overall factory data model is developed. By using GRAMOSA, the factory data model can be transformed directly into executable simulation models. This concept of automated model generation saves time and reduces transformation failures in comparison to manual programming. The modelling concept and its simulation feasibility is evaluated by a use case, which represents a flexible flow shop scenario with 3 × 3 paralleled machines and inventory control strategy.

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Correspondence to Michael Lütjen.

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Lütjen, M., Rippel, D. GRAMOSA framework for graphical modelling and simulation-based analysis of complex production processes. Int J Adv Manuf Technol 81, 171–181 (2015). https://doi.org/10.1007/s00170-015-7037-y

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Keywords

  • Production processes engineering
  • Material flow planning
  • Automated model generation
  • Simulation
  • Production planning and control