Page 124 - ExtendSim User Guide
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Introduction
About the Discrete Event module
The goal of every company, government agency, and educational institution should be to develop an extremely strong competitive organization. Cost reduction and quality improve- ment alone are not sufficient to achieve market share. Organizations must also be able to quickly develop and provide innovative new products and services. Invention, innovation, quality, productivity, and speed are the keys to making companies competitive.
One way to maximize competitiveness is to improve operational systems and processes by: • Eliminatingnonessential,nonvalue-addingstepsandoperations
• Implementingandinsertingtechnologywhereappropriate
• Managing the deployment and utilization of critical resources • Identifyingkeycostdriversforreductionorelimination
In spite of recent and rapid advances in technology, many companies and institutions still suf- fer from outdated equipment and inefficient work practices. This is due in part to the prohibi- tive expense and time required to explore alternative methods of operation and try out new technologies on real systems and processes. Simulating a system or process provides a quick and cost-effective method for determining the impact, value, and cost of changes, validating proposed enhancements, and reducing the resistance to change. Simulation models allow for time compression, are not disruptive of the existing system, and are more flexible than real sys- tems. They also provide metrics for meaningful analysis and strategic planning.
ExtendSim’s graphical interface and dynamic modeling capabilities are designed to help orga- nizations answer questions about how they do work: what they do, why they do it, how much it costs, how it can be changed, and what the effects of changes will be.
About the Discrete Event module
The Discrete Event portion of the User Guide shows how to build comprehensive models of industrial and commercial systems so you can analyze, design, and document manufacturing, service, and other discrete processes. Build a dynamic model composed of iconic blocks, run the simulation, and analyze the results. Change aspects of the model and run it again to per- form what-if analyses. Whether you model current operations or test proposed changes, the resulting models make it easy to find operational bottlenecks, estimate throughput, and predict utilization.
Discrete event modeling is an integral part of Six Sigma, business reengineering, risk analysis, capacity planning, throughput analysis, and reliability engineering projects. Discrete event models are also useful for examining the effects of variations such as labor shortages, equip- ment additions, and transmission breakdowns. They allow companies to look at their funda- mental processes from a cross-functional perspective and ask “Why?” and “What If?”
How the Discrete Event module is organized
• Introduction
• Tutorial
• Chaptersthatdiscussspecificdiscreteeventmodelingconcepts:
• Items and their properties
• Queueing
• Routing items from several sources and to multiple destinations
Discrete Event


































































































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