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

Published

September 1, 2004

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

Pub Type

Conferences

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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 1, 2024)