2008Unpublished venueRequires access

Trends in Discrete Event Simulations

Eduard Babulak

Open publisher page 2 citations

Abstract

Discrete event simulation technologies have been up and down as global manufacturing industries went through radical changes. The changes have created new problems, challenges and opportunities to the discrete event simulation. On manufacturing applications, it is no longer an isolated model but the distributed modeling and simulation along the supply chain. In order to study the hybrid manufacturing systems, it is critical to have capability to model human performance with different level of skills and under various working conditions. On service applications, the most critical part is to model knowledge workers and their decision making process. The speaker reviews the discrete event simulation technologies; discusses challenges and opportunities presented by both global manufacturing and the knowledge economy.

About this research paper

What this paper is about

Discrete event simulation technologies have been up and down as global manufacturing industries went through radical changes. The changes have created new problems, challenges and opportunities to the discrete event simulation. On manufacturing applications, it is no longer an isolated model but the distributed modeling and simulation along the supply chain. In order to study the hybrid manufacturing systems, it is critical to have capability to model human performance with different level of skills and under various working conditions. On service applications, the most critical part is to model knowledge workers and their decision making process. The speaker reviews the discrete event simulation technologies; discusses challenges and opportunities presented by both global manufacturing and the knowledge economy.

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Available abstract

Discrete event simulation technologies have been up and down as global manufacturing industries went through radical changes. The changes have created new problems, challenges and opportunities to the discrete event simulation. On manufacturing applications, it is no longer an isolated model but the distributed modeling and simulation along the supply chain. In order to study the hybrid manufacturing systems, it is critical to have capability to model human performance with different level of skills and under various working conditions. On service applications, the most critical part is to model knowledge workers and their decision making process. The speaker reviews the discrete event simulation technologies; discusses challenges and opportunities presented by both global manufacturing and the knowledge economy.

Key concepts: Discrete event simulation, Discrete manufacturing, Supply chain, Event (particle physics), Computer science, Process (computing), Manufacturing, Industrial engineering

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