Simulation Modeling and Analysis
Simulation Modeling and Analysis
Introduction to Simulation and Risk Analysis
Introduction to Simulation and Risk Analysis
The Art of Modeling with Spreadsheets
The Art of Modeling with Spreadsheets
Risk analysis software tutorial I: crystal ball for Six Sigma tutorial
Proceedings of the 35th conference on Winter simulation: driving innovation
Using operation process simulation for a six sigma project of mining and iron production factory
Proceedings of the 40th Conference on Winter Simulation
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In today's competitive market, businesses are adopting new practices like Design for Six Sigma (DFSS), a customer driven, structured methodology for faster-to-market, higher quality, and less costly new products and services. Monte Carlo simulation and stochastic optimization can help DFSS practitioners understand the variation inherent in a new technology, process, or product, and can be used to create and optimize potential designs. The benefits of understanding and controlling the sources of variability include reduced development costs, minimal defects, and sales driven through improved customer satisfaction. This tutorial uses Crystal Ball Professional Edition, a suite of easy-to-use Microsoft® Excel-based software, to demonstrate how stochastic simulation and optimization can be used in all five phases of DFSS to develop the design for a new compressor.