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Hierarchical Production Planning Using a Hybrid System Dynamic-Discrete Event Simulation Architecture

Published

Author(s)

J Venkateswaran, Y J. Son, Albert T. Jones

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. HLA/RTI 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.
Proceedings Title
Proceedings of the 2004 Winter Simulation Conference
Conference Location
, USA

Keywords

discrete event simulation (DES), hierarchical production planning, planning architecture, shop model, system dynamics (SD)

Citation

Venkateswaran, J. , Son, Y. and Jones, A. (2004), Hierarchical Production Planning Using a Hybrid System Dynamic-Discrete Event Simulation Architecture, Proceedings of the 2004 Winter Simulation Conference, , USA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822183 (Accessed May 19, 2024)

Issues

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Created August 31, 2004, Updated October 12, 2021