Date of Award

Spring 8-1-2005

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Industrial Technology Education

First Advisor

Ming Zhou

Second Advisor

Marion D. Schafer

Third Advisor

M. Affan Badar

Abstract

Simulation is an useful tool that helps managers making decision by designing models for real systems. It helps companies to study behaviors of real systems hy analyzing computer models and improve the systems based on the experiments' results. However, cross-domain knowledge requirement and lack of tools facilitate modeling are the main reasons that make industries hesitate to use simulation to assist making decision. This research is an attempt to develop robust knowledge representations for discrete manufacturing system and conceptual simulation model. A modeling methodology was proposed to utilize these knowledge representations (KRs) for developing conceptual simulation models from application domain information directly. Objected-oriented knowledge representation techniques were used to develop the knowledge representations. Object-oriented analysis and design (OOAD) technique was provided as a procedure to establish the methodology. Moreover, the notation of Unified Modeling Language (UML) was utilized to develop the structure of the modeling methodology. This methodology was validated through case studies from published works.

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