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2023 | 14 | nr 4 | 3--9
Tytuł artykułu

Using a Parameter Diagram as a DoE Planning Tool

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper describes the p-diagram (parameter-diagram) and its application in planning a DoE (Design of Experiments). A case study describing an actual problem from industry is presented where the planning phase started to go wrong as difficulties in selecting the right variables for the DoE were discovered. Furthermore, running these experiments became prohibitively expensive, due to the large number of such experiments that would be needed, and though the exploitation of a p-diagram it was then possible to come up with a feasible DoE(original abstract)
Rocznik
Tom
14
Numer
Strony
3--9
Opis fizyczny
Twórcy
  • Poznan University of Technology, Poland
  • Industrial Engineering, Hochschule Kaiserslautern, Germany
  • Department of Chemical Engineering, University of Coimbra, Portugal
Bibliografia
  • Anderson, V.L., & McLean, R.A. (1974). Design of Experiments: A Realistic Approach. New York: MarcelDekker, Inc.
  • Azeredo de Vasconcellos, M.B. da Silva S.S., & RekabK. (2003). Improve Molded Part Quality. Quality Progress, 36(7), 72-76.
  • Barsalou, M.A. (2015). Root Cause Analysis: A Step-byStep Guide to using the Right Tool and the Right Time. Boca Raton, FL: CRC Press.
  • Benbow, D.W. & Kubiak, T.M. (2009). The Certified Six Sigma Black Belt Handbook. Milwaukee, WI: ASQ Quality Press.
  • Borror, C.M. (ed.) (2009). The Certified Quality Engineer Handbook. (3rd ed.) Milwaukee, WI: ASQ, Qualty Press.
  • Box, G.E.P., Stuart H., & Hunter W.G. (2005). Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building (2nd ed.). Hoboken, NJ: John Wiley & Sons.
  • Breyfogle III, F.W. (2003). Implementing Six Sigma: Smarter Solutions Using Statistical Methods. 2nd ed. Hoboken, NJ: John Wiley & Sons, Inc.
  • Breyfogle III, F.W. (2008). Integrated Enterprise Excellence, Volume III - Improvement Project Execution: A management and Black Belt Guide for Going Beyond Lean and Six Sigma and the Balanced Scorecard.Austin, TX: Bridgeway Books/Citus Publishing.
  • Brue, G., & Launsby R.G. (2003). Design for Six Sigma. New York. Greg. McGraw-Hill.
  • Chrysler, Ford, General Motors Supplier Quality Requirements Task Force (2008). Potential Failure Modes and Effects Analysis (FMEA). 4th ed. USA: Automotive Industry Action Group.
  • Freeman, L.J., Ryan, A.G., Kensler, J.L.K., Dickinson, R.M., & Vining G. (2013). A Tutorial on the Planning of Experiments. Quality Engineering. 25(4), 315-332.
  • Gunter, B. (1989). Column: Statistics Corner: Statistically Designed Experiments, Part 1: Quality Im provement, the Strategy of Experimentation, and the Raid to Hell. Quality Progress, 22(12), 63-64.
  • Johnson, L., & McNeilly K. (2011). Results may not Vary. Quality Progress, 44(5), 42-48.
  • Kuma, K., Krishen, K., & Yadav, S. (2016). Breakthrough Solution. Six Sigma Forum Magazine, 16(1), 7-22.
  • Lawson, J., & Erjavec J. (2001). Modern Statistics for Engineering and Quality Improvement. Pacific grove, CA: Wadsworth Group.
  • Montgomery, D.C., Runger G.C., & Hubble N.F. (2001). Engineering Statistics (2nd ed.). New York: John Wiley and Sons.
  • Ophir, S., El-Gad, U., & Snyder M. (1988). A Case Study of the use of an Experimental Design in Preventing Shorts in Nickel-Cadmium Cells. Journal of Quality Technology, 20(1), 44-50.
  • Vandenbrande, W. (2005). Design of Experiments for Dummies. Quality Progress, 38(4), 59-65.
  • Verleye, K. (2019). Designing, Writing-up and Reviewing Case Study Research: An Equifinality Perspective. Journal of Service Management, 30(5), 549-576.
  • Vining, G., & Kowalski S.M. (2006). Statistical Methods for Engineers. (2nd ed.). Belmont, CA: Thompson Higher Education.
  • Wasiloff, E., & Hargitt C. (1999). Using DOE to Determine AA Battery. Quality Progress, 32(3), 67-71.
  • Yadav, B. (2007), Retrospective Analysis of a Designed Experiment. Quality Progress, 40(8), 23-28.
  • Yang, Ki., & El-Haik B.S. (2009). Design for Six Sigma: A Roadmap for Product Development. (2nd. Ed.). New York: McGraw Hill.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171679708

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