• DocumentCode
    402143
  • Title

    Crystal Ball for Six Sigma Tutorial

  • Author

    Goldman, Lawrence I. ; Evans-Hilton, Ethan ; Emmett, Hilary

  • Author_Institution
    Decisioneering Inc., Denver, CO, USA
  • Volume
    1
  • fYear
    2003
  • fDate
    7-10 Dec. 2003
  • Firstpage
    293
  • Abstract
    In an increasingly competitive market, businesses are turning to new practices like Six Sigma, a structured methodology for accelerated process improvement, to help reduce costs and increase efficiency. Monte Carlo simulation can help Six Sigma practitioners understand the variation inherent in a process or product, and in turn, can be used to identify and test potential improvements. The benefits of understanding and controlling the sources of variability include increased productivity, reduced waste, and sales driven through improved customer satisfaction. This tutorial uses Crystal Ball® Professional Edition, a suite of easy-to-use Microsoft Excel add-in software, to demonstrate how stochastic simulation and optimization can be used in a Six Sigma analysis of a technical support call center.
  • Keywords
    Monte Carlo methods; business process re-engineering; call centres; customer satisfaction; digital simulation; productivity; six sigma (quality); software packages; spreadsheet programs; Crystal Ball Professional Edition; Monte Carlo simulation; Six Sigma Tutorial; Six Sigma analysis; accelerated process improvement; businesses; competitive market; cost reduction; customer satisfaction; easy-to-use Microsoft Excel add-in software; optimization; potential improvements; productivity; stochastic simulation; structured methodology; technical support call center; variability source control; waste reduction; Acceleration; Costs; Customer satisfaction; Marketing and sales; Productivity; Six sigma; Spreadsheet programs; Testing; Turning; Tutorial;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2003. Proceedings of the 2003 Winter
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/WSC.2003.1261436
  • Filename
    1261436