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This paper reviews the performance of various methods used to detect the warm up length in steady state discrete event simulation. An evaluation procedure is used to compare the methods. The methods are applied to the output generated by a simple job shop model. The performance of the methods is tested at different levels of utilizations. Various measures(More)
This paper addresses the on-going work of integrating supply chain research into the graduate curriculum in the form of a Supply Chain Modeling course. This course integrates research from Oklahoma State University, the University of Arkansas, and the University of Pittsburgh. In this course, the students and the professor develop and implement supply chain(More)
Simulation is a powerful tool if understood and used properly. This introduction to simulation tutorial is designed to teach the basics of simulation, including structure, function, data generated, and its proper use. The introduction starts with a definition of simulation, goes through a talk about what makes up a simulation, how the simulation actually(More)
In business today, re-engineering has taken a great deal of the cost out of internal corporate processes. Our factories and internal support organizations have become much more efficient, but there is still a great deal of unnecessary cost in the overall delivery system, or the supply chain. Although your corporation does not own all of the supply chain,(More)
In today's business environment, the dynamics of the business drive many decisions in the supply chain. Companies will buffer inventory, carry excess capacity and headcount, and have costly marketing initiatives in order to handle the dynamics of the business. In order to better analyze the business dynamics and define supply chains that are robust to(More)
In this paper we develop and implement a simulation modeling methodology that combines discrete event simulation with qualitive simulation. Our main reason for doing so is to extend the application of discrete event simulation to systems found in business for which precise quantitative information is lacking. The approach discussed in this paper is the(More)
Event Graphs and Simulation Graph Models provide a powerful and general modeling framework for discrete event simulation. Within this framework it has been shown that an event cancellation construct in the form of a canceling edge is a modeling convenience rather than a necessary modeling tool. As a result, very little work on the formal development of(More)