Title :
Crystal Ball® and Design for Six Sigma
Author :
Goldman, Lawrence I. ; Campbell, Crystal
Author_Institution :
Decisioneering, Inc., Denver, CO, USA
Abstract :
8 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.
Keywords :
Monte Carlo methods; customer satisfaction; optimisation; simulation; six sigma (quality); spreadsheet programs; stochastic processes; Crystal Ball Professional Edition; Design for Six Sigma; Microsoft Excel-based software; Monte Carlo simulation; customer satisfaction; product quality; service quality; stochastic optimization; stochastic simulation; Analytical models; Design optimization; Linear regression; Manufacturing processes; Phase measurement; Predictive models; Probability distribution; Process design; Research and development; Six sigma;
Conference_Titel :
Simulation Conference, 2004. Proceedings of the 2004 Winter
Print_ISBN :
0-7803-8786-4
DOI :
10.1109/WSC.2004.1371517
