Hierarchical production planning for complex manufacturing systems
Advances in Engineering Software
Creating computer simulation systems: an introduction to the high level architecture
Creating computer simulation systems: an introduction to the high level architecture
Validating a manufacturing paradigm: a system dynamics modeling approach
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Proceedings of the 32nd conference on Winter simulation
Advanced decision logic in simulation of material flow processing networks
WSC '05 Proceedings of the 37th conference on Winter simulation
Flexible experimentation and analysis for hybrid DEVS and MPC models
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Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
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Hierarchical production planning provides a formal bridge between long-term plans and short-term schedules. A hybrid simulation-based production planning architecture consisting of system dynamics (SD) components at the higher decision level and discrete event simulation (DES) components at the lower decision level is presented. The need for the two types of simulation has been justified. The architecture consists of four modules: Enterprise-level decision maker, SD model of enterprise, Shop-level decision maker and DES model of shop. The decision makers select the optimal set of control parameters based on the estimated behavior of the system. These control parameters are used by the SD and DES models to determine the best plan based on the actual behavior of the system. High Level Architecture has been employed to interface SD and DES simulation models. Experimental results from a single-product manufacturing enterprise demonstrate the validity and scope of the proposed approach.