SIX SIGMA QUALITY IMPROVEMENT: WHAT IS IMPLICATIONS?

SIX SIGMA QUALITY IMPROVEMENT: WHAT IS
SIX SIGMA AND WHAT ARE THE IMPORTANT
IMPLICATIONS?
Roger G. Schroeder
Donaldson Chair in Operations Management
University of Minnesota, Minneapolis, Minn., U.S.A.
[email protected]
ABSTRACT
Six Sigma is an opportune area for further research. Little is known about how Six
Sigma methods are being used in business and their impact on business results. This paper
provides an initial definition of Six Sigma as a basis for further research. It also discusses
the controversial question of what is new about Six Sigma and what is already known.
Topics for further research in this emerging area of quality management are defined.
Keywords: Six Sigma, Quality Improvement
INTRODUCTION
Six Sigma is a concept that was originated by Motorola, Inc. in the U.S.A in about
1985. At the time, they were facing the threat of Japanese competition in the electronics
industry and needed to make drastic improvements in their quality levels (Harry and
Schroeder, 2000). Six Sigma was a way for Motorola to express its quality goal of 3.4
parts per million (ppm) defect rate. This goal was far beyond normal quality levels and
required very aggressive improvement efforts. For example, three sigma is 66,810 ppm
defective or 93.3% process yield, while Six Sigma is only 3.4 ppm defects and 99.99966 %
process yield. A comparison of defects and yields for various process sigma levels is
shown in Table 1.
Process Sigma
6
5
4
3
2
1
Defects (parts per million)
3.4
233
6,210
66,810
308,770
697,672
Process Yield (%)
99.99966
99.97670
99.37900
93.33190
69.12300
30.23280
Table 1: Six Sigma Measures
Not all processes should operate at the six sigma level. The appropriate level will
depend on the strategic importance of the process and the cost of improvement relative to
the benefit. If a process is at the two or three sigma level, it will be relatively easy and cost
effective to reach the four sigma level. However, to reach five or six sigma will require
much more effort and more sophisticated statistical tools. The effort and difficulty increases
exponentially as the process sigma increases. Ultimately, the return on investment for the
improvement effort and the strategic importance of the process being improved will
determine the appropriate target sigma level.
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In the U.S., interest in Six Sigma has been increasing at an accelerating rate. After
Motorola’s initial efforts in 1985, only a few companies adopted Six Sigma improvement
programs. Allied Signal was one of the first followers of Motorola. Then General Electric
(GE) decided to adopt Six Sigma in about 1995. The adoption of Six Sigma by CEO Jack
Welch at GE has attracted world-wide attention (Slater, 1999). GE has aggressively
implemented Six Sigma not only in its manufacturing businesses, but in service operations
such as GE Capital (Hendricks and Kelbaugh, 1998). General Electric has made Six Sigma
training and experience a requirement for all managers in the company and a prerequisite
for promotion in managerial ranks. In GE the impact of Six Sigma on net income is
significant and has encouraged many other U.S. and international companies to adopt Six
Sigma practices, as well. A partial list of Six Sigma adopters is shown in Table 2.
General Electric
ABB Vetco Gray
Citigroup
Dupont
Bombardier
Ceridian
Johnson & Johnson
Polaroid
Carlson Companies
Sony Electronics
IBM
Six Sigma Adopters
Motorola
American Express
Eastman Kodak
Amazon.Com
Honeywell
Dow Chemical
Ford Motor
Cargill
Unisys
Iomega Pacific PTE ltd.
LG Electronics
Allied Signal
Seagate Technology
3M
Toshiba
Navistar
Raytheon
Lockheed Martin
U.S. Bank
Eaton
Texas Instruments
Iomega
Table 2: A Sample of companies implementing Six Sigma Approaches
In the following presentation, I will discuss definitions of Six Sigma, what is new
about Six Sigma, and the opportunities presented for academic research in this emerging
area?
DEFINITION OF SIX SIGMA
Six Sigma has not been carefully defined in either the practitioner or academic
literature (Hahn, et.al. 1999). This has resulted in some confusion, since each author
provides a different definition. In an attempt to clarify the concepts and principles
underlying Six Sigma, the following definition is offered:
Six Sigma is an organized and systematic method for strategic process
improvement and new product development that relies on statistical methods
and the scientific method to make dramatic reductions in defect rates as
defined by the customer.
There are several elements of the Six Sigma approach that require further explanation.
Top Management Leadership.
All quality improvement efforts, whether Six Sigma or otherwise, require top
management leadership (Juran, 1989,1995). Top management must not only provide
support for the effort in financial and strategic terms, but insure continuity of Six Sigma
effort so that it doesn’t become another “flavor of the month” program. A good example of
how this can be done is found in GE, Allied Signal and Motorola cases where strong top
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management leadership resulted in Six Sigma becoming an embedded way of doing
business (Hahn et al., 1999; Harry 1998).
Customer Driven.
All Six Sigma efforts should be driven by the customer’s definition of a defect.
Internal requirements should not be used, unless the process has only internal customers.
Even in this case, the requirements should be defined by the internal customer of the
process, not the process managers. A key step in any Six Sigma improvement effort is
determining exactly what the customer requires and then defining defects in terms of their
“critical to quality” parameters.
Focus on Business and Financial Results.
It is important that Six Sigma efforts have measurable financial returns by the
accountants and the financial organization in the firm. For example, General Electric
estimates the net income impact for 1999 derived from their Six Sigma efforts minus the
implementation costs will exceed two billion dollars (General Electric Company 1999
Annual Report). Companies that institute Six Sigma actually track their financial results
and report the impact to all levels of management on a regular basis.
Structured Method.
Six Sigma uses a structured method, whether the task is process improvement or new
product design. In the case of process improvement, the method is patterned after the
PDCA cycle (Shewhart, 1931, 1939). One popular method uses DMAIC: Define, Measure,
Analyze, Improve and Control as the five steps in process improvement. A slightly
different set of steps called Design for Six Sigma is used for radical or incremental product
design. Whatever method is chosen, however, it is important that the method be carefully
followed and a solution not offered until the problem is clearly defined. Data and objective
measurement is critical at each step of the method. The standard statistical quality tools are
incorporated into the structured method used (Breyfogle, 1999; Ishikawa, 1990; Kume,
1985, 1995; Hoerl, 1998). These tools include both the seven classic tools of quality
control and the seven new tools for problem formulation and diagnosis (Mizuno, 1988,
Gitlow et.al., 1995).
Use of Special Metrics.
Six Sigma uses special metrics including process sigma measurements, critical to
quality metrics, defect measures and ten-times improvement measures( Hahn et al., 1999;
Harry, 1998; Hoerl, 1998). One of the first steps in the improvement process is to measure
the current process sigma. This is done by defining current process defects in customer
terms (critical to quality metrics), these measures are converted to defects per million
opportunities (DPMO) and then to the current process sigma. For most processes a ten
times improvement or more is desired in terms of defect reduction. Ordinarily, this will
improve the process sigma by one or two units (e.g. form 3 to 4.5). These Six Sigma
performance measures are employed at multiple levels of the organization and in service
and administrative as well as manufacturing processes.
Improvement Specialists.
Six Sigma uses full-time improvement specialists, sometimes called “Black Belts”.
These specialists are trained in the Six Sigma structured method by typically receiving four
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weeks of training and hands-on experience in conducting one or more projects. Many
organizations also have Green Belts who are part-time improvement specialists and Master
Black Belts who serve as instructors. Quality teams are formed for each Six Sigma project
consisting of employees who operate the process, with Green Belt training, and at least one
full-time Black Belt specialist. It is critical to have full-time employees working on
improvement projects, and not just part-time efforts of regular employees. Full-time
improvement specialists are expected to return between $300,000 and $500,000 in net
income improvement per year.
WHAT IS NEW?
What is new about Six Sigma has been widely debated. Using the above definition,
several new things can be observed. First, Six Sigma is not new by insisting on top
management leadership or in being customer driven. These elements are important in
every type of quality improvement initiative including Six Sigma.
The focus on financial and business results is to some extent new. Deming (1986)
warned against focusing on results and instead preferred a process focus. On the other
hand, the Baldrige Award and derivative quality awards around the world have focused
extensively on results (National Institute of Standards and Technology, 1999). The
difference is that Six Sigma requires financial returns from all projects and from each fulltime Six Sigma specialist. Thus the financial focus is at the project level, not the
organization level as it is with the Baldrige, and the results are tracked on a pre-project and
post-project audit basis by the financial organization. It is the aggressive insistence on a
financial return from each project that is new to Six Sigma.
Use of a structured method for process improvement or new product introduction is
also not entirely new. However, the degree of insistence on following the structured
method, the intense training of the full-time specialists and the full integration of statistical
and other tools is new. In the past, quality improvement teams have been formed with little
or no training (perhaps one week) and set out to improve a process with little emphasis on
the use of data or a well-structured method. Often these teams were formed more for
employee involvement than for improvement. So the intensity of using the specialized
method is worthy of note.
Use of specific metrics is new with Six Sigma. Processes have not been measured in
terms of their DPMO, or process sigma. Nor, have aggressive targets such as ten-times
improvement been set. The effect of these measures is to highlight the importance of
improvement and to state difficult, but attainable, goals for improvement. Six Sigma
requires a discipline toward measurement and improvement that has not been evident in
previous quality improvement efforts.
Finally, the use of a significant number of full-time improvement specialists is new to
many organizations. Heretofore, organizations have been reluctant to make the investment
in full-time specialists and instead have assigned the improvement task to already
overworked staff on a part-time basis. Even when full-time specialists were used, there
were not many of them and they were not highly trained in a common structured
deployment method. For example, in 1997, GE invested $250 million is training nearly
4,000 Black Belts and 60,000 Green Belts out of a workforce of 220,000 employees (Harry
and Schroeder, 2000). This large investment paid off in 1997 alone by adding $300 million
to the bottom line. Since investments are converted immediately to bottom line results,
explains why management is able to relatively easily justify the commitment of extensive
training and full-time employees (Fuller, 2000).
In summary, much of what is being done in Six Sigma is not entirely new, but is a
matter of emphasis and commitment. For some organizations, however, many of the six
elements described above are new, since they have not implemented previous quality
efforts in this way. Six Sigma has been attractive to many CEO’s and executives precisely
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because it is a very disciplined approach and delivers an immediate financial return. It is
not a nebulous approach with uncertain payoff.
The Baldrige, ISO 9000, and other predominant quality frameworks describe what an
organization should do in a macro sense to achieve quality. Six Sigma is a very detailed
approach to quality on a step-by-step basis describing how to improve quality for specific
projects or products. While the Baldrige and other frameworks can be viewed as the “what
of quality”, Six Sigma is the “how”. Therefore, Six Sigma is not a substitute for Quality
frameworks such as Baldrige and ISO 9000, but rather an augmentation to those
frameworks.
IS SIX SIGMA JUST THE LATEST BUSINESS FAD?
Is Six Sigma a business fad which is likely to follow the path of other fads? I don’t
think so, for several reasons. First, Six Sigma relies on well established methods and
principles. It uses tried and tested statistical methods and the scientific method for
improvement. Six Sigma is built on a variation of the PDCA cycle that has been
successfully used in business for years.
A second reason that Six Sigma is likely to persist is that is shows financial results.
Financial results from improvements are carefully monitored by the accountants, and
financial justification is required before beginning a project along with an audit after the
project is completed. So, the Six Sigma method is not pursuing quality for quality’s sake,
but speaks directly to the financial concerns of business on a project-by-project basis.
A third reason that Six Sigma is likely to become a regular part of business practice is
that it is prescriptive in its approach. The steps required are very carefully defined and
practitioners are trained in the method and follow it carefully. It is a method that works not
only on manufacturing processes, but transactional processes, service processes and new
product introduction. The scope of the method is, therefore, quite general.
Finally, Six Sigma has already been adopted and well integrated by some of the best
established and most respected companies in the world. While these companies may adopt
variations of Six Sigma over time, the basics will remain in place. Six Sigma has already
survived leadership changes in many of these companies.
The prospects for Six Sigma becoming part of established business practice are,
therefore, very good. While no one can predict the future course of business, Six Sigma is
well on its way to moving beyond the initial hype and fad stage into the mainstream of
business practice.
ACADEMIC RESEARCH
Now that we have established a basis for describing what Six Sigma is and how it
relates to existing quality approaches, possible research topics can be identified. The
following are some suggestions for those who are interested in pursuing this area of study.
Research on Six Sigma is still in its infancy and very few published results have appeared
to date. Most of the current literature takes the form of books or practitioner articles.
These are listed in the references as a starting point for future research.
One area of interest to academics is research on the different approaches being used for
Six Sigma in industry. This research could be organized to study the similarities and
differences in use, along with some explanation for the observed differences, such as
organization context. Since so little is known about Six Sigma, a starting point for this
research would be a definition of the elements of Six Sigma such as those presented here.
Then a grounded theory approach could be used to selectively sample companies and build
upon the initial definition with each company studied. When some convergence and
understanding is achieved, after studying multiple organizations, the common and unique
elements of Six Sigma could be identified along with the probable reasons for differences.
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This would form an initial theory and definition that could then be subjected to further
statistical sampling and testing. It is important to build good theory and definitions from
practice in this area before starting on large-scale statistical work (Yin, 1981,1994; Miles
and Huberman, 1994).
Another area of useful research is to understand the benefits and costs of Six Sigma.
This could be directed at the types of processes that need to be improved in organizations
and the typical magnitude of improvements that are possible for each type of process
(Hendricks and Singhal, 1997; Itter and Larcker, 1997). Such research could help guide the
selection of Six Sigma projects and provide an approach for estimating the benefits that
could accrue. In this research, consideration should be given to the use of Six Sigma for
manufacturing processes, transactional processes, product design efforts and service
processes. This research project would help convince skeptics that Six Sigma is indeed
beneficial, if used in the right way on the right projects in the right kind of organization.
The contextual influence on the results obtained would be interesting to study and would
define the conditions for achievement of certain results. In this research study it would also
be beneficial to proceed with a small sample to initially define the scope of the work
followed by a larger statistical sample to test appropriate hypotheses (Eisenhart, 1989; Jick,
1979).
Another research project is to carefully track Six Sigma projects on a real-time basis.
This would permit the researchers to observe the dynamics of each project as it unfolds
(Sanders and Hild, 2000). As a result, some interesting cause-and-effect changes could be
studied. Research questions such as the role of project leadership, changing team
composition, the use of specialists, outside support of the project and other dynamics could
be studied. The research literature on teams, innovation and project management could be
useful in forming theories and hypotheses for testing. But, the unique characteristics of Six
Sigma would enrich the available literature on innovation and project management, while
adding to the Six Sigma literature.
Six Sigma could take on an international flavor, by observing the use of Six Sigma in
different national cultural contexts. This research could build on the work of Hofstede
(1991) and others by first understanding cross-country differences. These differences could
be used to hypothesize the types of adaptations of Six Sigma that might be required in
different countries along with the potential results. These studies could be done in the
international divisions of companies such as GE or Motorola to provide some control for
uniform implementation of the same method within different countries. The resulting
acceptance and adaptation could then be observed in different national cultural contexts.
This research would contribute not only to our understanding of Six Sigma, but its
deployment in remarkably different cultural contexts (Kostova, 1999).
There are also many opportunities for improving the statistical tools used with Six
Sigma (Box and Luceno, 2000). Some of the improvements might include the use of
simulation analysis to predict process or product improvement effects, use of non-normal
distributions, and advanced DOE methods (Hahn, Doganaksoy and Hoerl, 2000).
Research on Six Sigma should not concentrate on empirical field research alone, but could
investigate the development of new tools coupled with field research to test their
effectiveness in actual use.
We could go on with many other possibilities, but will mention just one more. This
research project concerns the role of Six Sigma in knowledge creation and diffusion. It is
possible that a highly structured method such as Six Sigma could be very useful in adding
to both individual and organizational knowledge (Kim, 1993: Kogut and Zander, 1992;
Cohen and Levinthal, 1990). Since little is known about knowledge creation and diffusion
by structured methods such as Six Sigma, the opportunity exists to contribute to both the
knowledge and Six Sigma literature’s. The author is currently engaged in a study of this
type in the U.S.
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CONCLUSIONS
The use of Six Sigma methods has recently accelerated in business circles. Yet, the
academic community is largely unaware of these methods and has not initiated research on
the phenomena. What is needed is a concerted effort to understand Six Sigma methods,
their benefits and their limitations in actual use. This research would not only lead to
theory enrichment and development, but could help practitioners gain a better
understanding of Six Sigma.
A preliminary definition of Six Sigma has been provided as a starting point for further
research. This definition attempts to identify the six critical elements of Six Sigma along
with some comparisons to other quality methods and to the literature. What is needed is an
evaluation of the definition of Six Sigma methods based on field research relating different
uses of Six Sigma methods to different organizational contexts.
Another area of promising research is to carefully study the cost and benefits of Six
Sigma along with the factors that influence variation in cost or benefits. This would help
academics understand the economic impact of Six Sigma and assist practitioners in
evaluating their Six Sigma efforts.
There are a variety of other research projects that could be undertaken. Some of these
have been suggested along with an appeal to start with qualitative case-based research
approaches aimed at theory development, before launching into large-scale statistical
studies. A better understanding is needed of the Six Sigma phenomena that will come only
through carefully constructed small-scale studies aimed at enriching our initial
understandings of Six Sigma.
This is a fruitful area of research and one that is in need of careful studies. It is an
opportune area for academics to join with practitioners in research that is of mutual interest.
It is my hope that we will see the results of Six Sigma studies forthcoming at future
meetings.
REFERENCES
BOX G. and A. LUCENO (2000): “Six Sigma, Process Drift, Capability Indices and
Feedback Adjustment”, Quality Engineering. vol 12, no 3, 297-302.
BREYFOGLE, F. W. (1999): Implementing Six Sigma: Smarter solutions using statistical
methods, John Wiley & Sons, New York.
COHEN, W. M., and D. A. LEVINTHAL (1990): “Absorptive Capacity: A new perspective
on learning and innovation”, Administrative Science Quarterly, vol 35, 128-152.
DEMING, W. E. (1986): Out of the crisis: Institute of Technology, Center for Advanced
Engineering Study, Cambridge, Massachusetts.
EISENHARDT, K. M. (1989): “Building theories from case studies research”, Academy of
Management Review, vol 14, no 4, 532-550.
FULLER, H.T. (2000): “Observations about the Success and Evolution of Six Sigma at
Seagate”, Quality Engineering, vol 12, no 3, 311-315.
GENERAL ELECTRIC COMPANY (1999). General Electric Company 1999 Annual
Report, General Electric Company, Fairfield, CT.
GITLOW, H., A. OPPENHEIM and R. OPPENHEIM (1995): Quality Management: Tools
and Methods for Improvement, Irwin, Burr Ridge, IL.
HAHN, G., W. HILL, R. HOERL, and S. ZINKGRAF (1999): “The impact of Six Sigma
improvement - A glimpse into the future of statistics”, The American Statistician, vol
53, no 3, 208-215.
HAHN, G.J., N. DOGANAKSOY and R. HOERL (2000): “The Evolution of Six Sigma”.
Quality Engineering. vol 12, no 3, 317-326.
HARRY, M. J. (1998): “Six sigma: A breakthrough strategy for profitability”. Quality
Progress, vol 31 no 5, 60-64.
7
HARRY, M. J., and R. SCHROEDER (2000): Six Sigma: The breakthrough management
strategy revolutionizing the world’s top corporations, Doubleday, New York.
HENDRICKS, C. and R. KELBAUGH (1998): “Implementing six Sigma at GE”, The
Journal for Quality and Participation, vol 21, no 4, 48-54.
HENDRICKS, K. B., AND V. R. SINGHAL (1997): “Does implementing an effective
TQM program actually improve operating performance? An empirical evidence from
firms that have won quality awards”, Management Science, vol 43, 1258-1274.
HOERL, R. W. (1998): “Six sigma and the future of the quality profession”, Quality
Progress, vol 31, no 6, 35-42.
HOFSTEDE, G. (1991): Culture and Organizations: Software of the Mind, McGraw-Hill,
London.
ISHIKAWA, K. (1985): What is total quality control?: The Japanese way (D.J. Lu,
Trans.).: Prentice-Hall, Englewood Cliffs, NJ. (Originally published in Japanese,
1981).
ITTER, C. D., and D. F. LARCKER. (1997): “The performance effect of process
management techniques”, Management Science, vol 43, 522-534.
JICK, T. D. (1979): “Mixing qualitative and quantitative methods: triangulation in action”,
Administrative Science Quarterly, vol 24, no 4, 602-611.
JURAN, J.M (1989): Juran on Leadership for Quality: An Executive Handbook, The Free
Press, New York,
JURAN, J. M. (1995): Managerial breakthrough: The classic book on improving
management performance (2nd ed.), McGraw-Hill, New York, NY
KIM, D. H. (1993): “The link between individual and organizational learning”, Sloan
Management Review, Fall, 37-50.
KOGUT, B., and U. ZANDER (1992): “Knowledge of the Firm, Combinative Capabilities,
and the Replication of Technology”, Organization Science, vol 3, 383-397.
KOSTOVA, T. (1999): “Transnational Transfer of Strategic Organizational Practices: A
Contextual Perspective”, Academy of Management Review, vol 24, no2, 308-324.
KUME, H. (Ed.). (1985): Statistical methods for quality improvement (J. Loftus, Trans.),
The Association for Overseas Technical Scholarship, Tokyo, Japan.
KUME, H. (1995): Management by quality (J. H. Loftus, Trans.). 3A Corporation, Tokyo,
Japan
LIEBENZ, M. L. (1982): Transfer of Technology: U. S. Multinationals and Eastern
Europe, , Praeger, New York.
MILES, M., and M. HUBERMAN (1994): Qualitative Data Analysis, Sage, Beverly Hills.
MIZUNO, S. (Ed.) (1988): Management for quality improvement: The 7 new QC tools,
Productivity Press, Cambridge, MA. (Originally published in Japanese, 1979.)
NATIONAL INSTITUTE OF STANDARDS and TECHNOLOGY (1999). Malcolm
Baldrige national quality award: 2000 criteria for performance excellence. A report
published by the National Institute of Standards and Technology of the United States
Department of Commerce, Gaithersburg, MD.
SANDERS D. and C. HILD (2000): “A Discussion of Strategies for Six Sigma
Implementation”, Quality Engineering. Vol 12 no 3, 303-309.
SHEWHART, W. A. (1931): Economic control of quality of manufactured product, D.
Van Nostrand, New York, NY.
SHEWHART, W. A. (1939): Statistical method from the viewpoint of quality control,
Graduate School of the Department of Agriculture, Washington, D.C.
SLATER, R. (1999): Jack Welch and the GE way: Management insights and leadership
secrets of the legendary CEO,: McGraw-Hill, New York, NY.
YIN, R. K. (1981): Case Study Research, Sage, Beverly Hills.
YIN, R. K. (1994): Case Study Research, Design and Methods, 2nd Edition, Sage, London.
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