Hierarchical production planning using a hybrid system dynamic-discrete event simulation architecture

Jayendran Venkateswaran, Young Jun Son, Albert Jones

Research output: Contribution to journalConference articlepeer-review

49 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1094-1102
Number of pages9
JournalProceedings - Winter Simulation Conference
StatePublished - 2004
EventProceedings of the 2004 Winter Simulation Conference - Washington, DC, United States
Duration: Dec 5 2004Dec 8 2004

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications


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