Statistical Methods – Does Anyone Really Use Them?

Abstract Students taking courses in quality management at Luleå University of Technology receive extensive education in statistical methods. To improve the education and to understand what kind of competence students need when they graduate, a survey was preformed examining how and to what extent the methods Statistical Process Control, Capability Analysis and Design of Experiments are used by organisations hiring the alumni. The result shows that the students employed in the Swedish industrial sector witness a modest use of statistical methods, while use of statistical methods in other sectors hiring the alumni is uncommon. Lack of competence and resources within the organizations are stated as hindrances to expanded use. Conclusions from the study are that implementation techniques must be emphasized in the curriculum and that different types of courses should be given – practical, hands-on courses for engineers, managers and others working in organizations. Furthermore, courses offered at universities must have a strong focus on practical problems such as difficulties randomizing experiments and that graphical methods should be favoured.

[1]  A Penzias,et al.  Teaching statistics to engineers. , 1989, Science.

[2]  Fred Spiring,et al.  Introduction to Statistical Quality Control , 2007, Technometrics.

[3]  Adrian John Wilkinson,et al.  Quality management in services: is the public sector keeping pace? , 1995 .

[4]  Samuel Kotz,et al.  Process Capability Indices—A Review, 1992–2000 , 2002 .

[5]  D. Depriest,et al.  Understanding Industrial Designed Experiments , 1993 .

[6]  Mats Deleryd,et al.  Process capability studies in theory and practice , 1996 .

[7]  Jiju Antony,et al.  Statistical process control: an essential ingredient for improving service and manufacuring quality , 2000 .

[8]  田口 玄一,et al.  Introduction to quality engineering : designing quality into products and processes , 1986 .

[9]  Yves Beauchamp,et al.  An effective approach to teach design of experiments (DOE) using calculation-and-analysis worksheets and computerized spreadsheets , 1998 .

[10]  Ida Gremyr,et al.  Robust Design Methodology: Status in the Swedish Manufacturing Industry , 2003 .

[11]  Kerstin Vännman,et al.  Process capability plots—a quality improvement tool , 1999 .

[12]  Yves Beauchamp,et al.  An effective approach to teach design of experiments (DOE) using calculation and analysis forms and spreadsheet software , 1997 .

[13]  C. Daniel Use of Half-Normal Plots in Interpreting Factorial Two-Level Experiments , 1959 .

[14]  Michael Wood Statistical methods for monitoring service processes , 1994 .

[15]  Roger W. Hoerl,et al.  Six Sigma Black Belts: What Do They Need to Know? , 2001 .

[16]  Jaideep Motwani,et al.  An application of Taguchi’s robust experimental design technique to improve service performance , 1996 .

[17]  Anna C. Thornton,et al.  More than Just Robust Design: Why Product Development Organizations Still Contend with Variation and its Impact on Quality , 2000 .

[18]  W. J. Hill,et al.  The Impact of Six Sigma Improvement—A Glimpse into the Future of Statistics , 1999 .

[19]  Margaret J. Robertson,et al.  Design and Analysis of Experiments , 2006, Handbook of statistics.

[20]  Paul D. Umbach,et al.  What Works Best? Collecting Alumni Data with Multiple Technologies. AIR 2001 Annual Forum Paper. , 2001 .

[21]  Bo Bergman,et al.  Conjoint Analysis - A Useful Tool in the Design Process , 1999 .

[22]  Minitab Statistical Methods for Quality Improvement , 2001 .

[23]  Mats Deleryd,et al.  Experiences of implementing statistical methods in small enterprises , 1999 .

[24]  Henry A. Malec,et al.  Editorial: Quality and reliability engineering on the move , 1999 .

[25]  John D. Barrett,et al.  Quality From Customer Needs to Customer Satisfaction , 2004, Technometrics.

[26]  Brian P. Mathews,et al.  Quality training: findings from a European survey , 2001 .

[27]  Thomas P. Ryan,et al.  Statistical methods for quality improvement , 1989 .

[28]  C. Witt,et al.  Tourism: the use of production management techniques. , 1990 .

[29]  P. Green,et al.  Conjoint Analysis in Consumer Research: Issues and Outlook , 1978 .