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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Venkateswaran, J. Young-Jun Son Jones, A. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Syst. & Ind. Eng., Arizona Univ., Tucson, AZ, USA (Venkateswaran, J.; Young-Jun Son) |
| Abstract | 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. |
| Starting Page | 1094 |
| Ending Page | 1102 |
| File Size | 548982 |
| Page Count | 9 |
| File Format | |
| ISBN | 0780387864 |
| DOI | 10.1109/WSC.2004.1371434 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-12-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Production planning Discrete event simulation Manufacturing Aggregates Job shop scheduling Large-scale systems Materials requirements planning Linear programming Stochastic systems Enterprise resource planning |
| Content Type | Text |
| Resource Type | Article |
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