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Flexible model for analyzing production systems with discrete event simulation.
| Content Provider | CiteSeerX |
|---|---|
| Author | Jain, S. Creasey, R. R. Himmelspach, J. White, K. P. Fu, M. Hübl, Alexander Altendorfer, Klaus Jodlbauer, Herbert Gansterer, Margaretha Hartl, Richard F. |
| Abstract | This paper presents the structure of a flexible discrete event simulation model for analyzing production systems. Based on BOM and routing information a simulation model is generated to analyze a shop floor structure. Different modules are used for generating customer orders and production orders and handling the material flow until the customer is satisfied. The basic idea is that the modules are not connected directly together but the material flow is routed according the information defined in BOM and routing. The model can apply stochastic behavior for processing times, set up times, purchasing lead time, customer required lead time, customer required amount and segmentation from product group to final product. Conwip and MRPII including MPS are implemented as production planning and control methods. The simulation model can be used for analyzing complex production system structures to evaluate the logistical performance. 1 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Material Flow Simulation Model Lead Time Final Product Production Order Complex Production System Logistical Performance Product Group Control Method Production Planning Flexible Discrete Event Simulation Model Shop Floor Structure Basic Idea Production System Stochastic Behavior Customer Order Different Module |
| Content Type | Text |
| Resource Type | Article |
