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=1*FThe Effective Industrial Statistician: Necessary Knowledge and SkillsGG$zWilliam Q. Meeker
Department of Statistics
Center for Nondestructive Evaluation
Iowa State University
wqmeeker@IAstate.edu{P{fOverview Evolution of the Industrial Statistician
What Applications do Industrial Statisticians See?
What Tools Does an Industrial Statistician Need?
Statistics Graduate Program
Personality of a Statistician
Other Skills
Six Sigma
Internships for Statistics Graduate Students
Concluding Remarks
!My Experiences4Intern GE 1973-1975
Iowa State University 1975-Present
Summers at Bell Labs (1978-1992)
Summer visits to GE (1992-2004)
Los Alamos affiliate (1998-present)
Extended work for Ford, HP, and other companies (1993-present)
Various other consulting experiences in product reliability and nondestructive evaluation550THE ROLE OF STATISTICS IN BUSINESS AND INDUSTRY11(GERALD J. HAHN NECIP DOGANAKSOY
Retiree, GE Company GE Company
Schenectady, New York Schenectady, New York$' c(Evolution of the Industrial Statistician))$DSnapshot at 1975
Snapshot today
Can we extrapolate into the future?, %!$$f6Typical Tasks for an Industrial Statisticians in 197577 t
Design experiments
Modeling and analysis of data (including general number crunching)
Interpret results
Training
Conduct research for nonstandard problems
Many US statisticians worked in a statistics group within the company, e.g.:
Allied Chemical Amoco
Bell Labs DuPont
GE GM
IBM Kodak
Pratt and Whitney Proctor and Gamble
RCA Shell
How many remain?
\PPPf dThe Industrial Statistician s Environment in 200733$Modern statistical software can do an effective job of modeling and analysis of data and designing simple experiments, and readily accessible to all
Statisticians tend to get involved in more complicated interdisciplinary problems
Training customers (perhaps increased due to six-sigma)
Customers do not want pay for research (or even technical reports)
Fewer Statistics Groups. Most statisticians integrated into product development or manufacturing groups.
More need to be proactive, rather than reactiveZ3What Applications do Industrial Statisticians See?44 Product quality and manufacturing
Product design (including reliability)
Process design (including reliability)
Process monitoring
Warranty and other reliability field data
Marketing
Financial services
Environmental issues
Many other business processes<"Q"Q
:Some Statistical Tools Needed by Industrial Statisticians;; c
Bayesian Statistics
Categorical data methods
Censored data analysis
Design of experiments
Graphical methods
Image analysis
Multivariate analysis
Optimization
Regression analysis (linear and nonlinear)
Reliability theory
Response surface methods
Simulation
Spatial statistics
Statistical computing and programming
Survey sampling
Time series analysis
dPd5What Should Be in a Statistics Graduate Program Core?66(At least two semesters of mathematical statistics (probability and statistics, perhaps stochastic processes).
At least two semesters of statistical modeling and methods with applications (linear and nonlinear regression and maximum likelihood)
SAS and R (or S-PLUS) use and programming, plus exposure to Excel, JMP or MINITAB
A creative project, thesis, and/or a course in consulting, and corresponding internship experience.PWhich Statistical Electives?
Design of experiments
Statistical methods for reliability
Statistical methods for quality
Others according to interests
Important: While pursuing a graduate degree, you cannot learn everything that you will need.
The purpose of education is to learn how to learn.
Statisticians should be prepared to learn (and in some cases develop) new methods to meet the needs of the client (through continuing education and self-study).
In some cases statisticians may need to suggest hiring an outside consultant for special problemsJZ6ZfPersonality of a StatisticianThe joke: A statistician is someone who loves to work with numbers but who did not have the personality to be an accountant.
The reality:
Today s Industrial Statistician works almost exclusively in collaborations with scientists, engineers, managers, and other non-statisticians.
Interpersonal skills are extremely importantR q
5Other Skills of an Effective Industrial Statistician66(Communications skills
Written
Listening
Presentation
Interpersonal
Leadership skills (needed to be proactive)
Knowledge of relevant subject matter areas, e.g.:
Biology
Business and Finance
Chemistry
Engineering
Genetics
Physics
Flexibility and adaptabilitytP-P]PEPP-]ECommunications with ClientsStatisticians should strive to learn some of the scientific/engineering background in the area of their client.
It is imperative that the statistician learn and use the language, notation, and traditions of the client s area.(prEffect of Six Sigma&The Controversy:
Is there anything new?
Is there any intellectual content?
Isn't it all about hype?
The Reality:
It is generally important to have data before making decisions.
The effective use of statistics will result in improvements of processes that have not been optimized.
The structure and discipline of six-sigma has led to effective use of statistics when there was a combination of strong support from above and effective training.
Managers in Six-Sigma companies have a much better understanding of and appreciation of variability.
PUPPPPPUSix Sigma Long-Term?cThe Question: What do you do after you have gotten all of the low-hanging fruit in Manufacturing?
The Answers:
In most companies there is lots of low-hanging fruit
Six-Sigma for business processes, commercial operations, etc.
Design for Six-Sigma
Lean Six Sigma, etc.
Statisticians need to cooperate, or they will be left out. We have much to contribute.dpZZWZ
UW-Internships for Statistics Graduate Students..(oValuable experiences possible (not the same as working in a university consulting lab)
Projects may lead to professional society presentations or publications
Effectiveness is highly dependent on the kind of project and attention of the mentor
Exposure to the business environment will provide perspective in subsequent years of study and for the eventual job search
ppConcluding Remarksz Industrial Statistics is nearly as broad as the Statistics discipline itself.
In spite of the new ability for others to do their own data analysis, there will continue to be healthy demand for statisticians in industry (but in somewhat different roles).
The truly effective industrial statistician will be knowledgeable about the company s business and the science and engineering used there, broad in perspective, and proactive in their work.Z/p 0` 33` Sf3f` 33g` f` www3PP` ZXdbmo` \ғ3y`Ӣ` 3f3ff` 3f3FKf` hk]wwwfܹ` ff>>\`Y{ff` R>&- {p_/̴>?" dd@,|?" dd@ " @ ` n?" dd@ @@``PR @ ` `p>>@(
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="FThe Effective Industrial Statistician: Necessary Knowledge and SkillsGG$zWilliam Q. Meeker
Department of Statistics
Center for Nondestructive Evaluation
Iowa State University
wqmeeker@IAstate.edu{P{fOverviewEvolution of the Industrial Statistician
What Applications do Industrial Statisticians See?
What Tools Does an Industrial Statistician Need?
Statistics Graduate Program
Personality of a Statistician
Other Skills
Internships for Statistics Graduate Students
Concluding Remarks
(Evolution of the Industrial Statistician))$DSnapshot at 1975
Snapshot today
Can we extrapolate into the future?, %!$$f6Typical Tasks for an Industrial Statisticians in 197577 t
Design experiments
Modeling and analysis of data (including general number crunching)
Interpret results
Training
Conduct research for nonstandard problems
Many US statisticians worked in a statistics group within the company, e.g.:
Allied Chemical Amoco
Bell Labs DuPont
GE GM
IBM Kodak
Pratt and Whitney Proctor and Gamble
RCA Shell
How many remain?
\PPPf dThe Industrial Statistician s Environment in 200733$Modern statistical software can do an effective job of modeling and analysis of data and designing simple experiments, and readily accessible to all
Statisticians tend to get involved in more complicated interdisciplinary problems
Training customers (perhaps increased due to six-sigma)
Customers do not want pay for research (or even technical reports)
Fewer Statistics Groups. Most statisticians integrated into product development or manufacturing groups.
More need to be proactive, rather than reactiveZ3What Applications do Industrial Statisticians See?44 Product quality and manufacturing
Product design (including reliability)
Process design (including reliability)
Process monitoring
Warranty and other reliability field data
Marketing
Financial services
Environmental issues
Many other business processes<"Q"Q
:Some Statistical Tools Needed by Industrial Statisticians;; c
Bayesian Statistics
Categorical data methods
Censored data analysis
Design of experiments
Graphical methods
Image analysis
Multivariate analysis
Optimization
Regression analysis (linear and nonlinear)
Reliability theory
Response surface methods
Simulation
Spatial statistics
Statistical computing and programming
Survey sampling
Time series analysis
dPd5What Should Be in a Statistics Graduate Program Core?66(At least two semesters of mathematical statistics (probability and statistics, perhaps stochastic processes).
At least two semesters of statistical modeling and methods with applications (linear and nonlinear regression and maximum likelihood)
SAS and R (or S-PLUS) use and programming, plus exposure to Excel, JMP or MINITAB
A creative project, thesis, and/or a course in consulting, and corresponding internship experience.PWhich Statistical Electives?
Design of experiments
Statistical methods for reliability
Statistical methods for quality
Others according to interests
Important: While pursuing a graduate degree, you cannot learn everything that you will need.
The purpose of education is to learn how to learn.
Statisticians should be prepared to learn (and in some cases develop) new methods to meet the needs of the client (through continuing education and self-study).
In some cases statisticians may need to suggest hiring an outside consultant for special problemsJZ6ZfPersonality of a StatisticianThe joke: A statistician is someone who loves to work with numbers but who did not have the personality to be an accountant.
The reality:
Today s Industrial Statistician works almost exclusively in collaborations with scientists, engineers, managers, and other non-statisticians.
Interpersonal skills are extremely importantR q
5Other Skills of an Effective Industrial Statistician66(Communications skills
Written
Listening
Presentation
Interpersonal
Leadership skills (needed to be proactive)
Knowledge of relevant subject matter areas, e.g.:
Biology
Business and Finance
Chemistry
Engineering
Genetics
Physics
Flexibility and adaptabilitytP-P]PEPP-]ECommunications with ClientsStatisticians should strive to learn some of the scientific/engineering background in the area of their client.
It is imperative that the statistician learn and use the language, notation, and traditions of the client s area.(pr Thanks toMentors at GE
Mentors at ISU
Colleagues and supervisors at Bell Labs
My students
My understanding family
Interesting/Helpful clients and access to real problems-Internships for Statistics Graduate Students..(oValuable experiences possible (not the same as working in a university consulting lab)
Projects may lead to professional society presentations or publications
Effectiveness is highly dependent on the kind of project and attention of the mentor
Exposure to the business environment will provide perspective in subsequent years of study and for the eventual job search
ppConcluding Remarksz Industrial Statistics is nearly as broad as the Statistics discipline itself.
In spite of the new ability for others to do their own data analysis, there will continue to be healthy demand for statisticians in industry (but in somewhat different roles).
The truly effective industrial statistician will be knowledgeable about the company s business and the science and engineering used there, broad in perspective, and proactive in their work.Z/T
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=1*FThe Effective Industrial Statistician: Necessary Knowledge and SkillsGG$zWilliam Q. Meeker
Department of Statistics
Center for Nondestructive Evaluation
Iowa State University
wqmeeker@IAstate.edu{P{fOverview Evolution of the Industrial Statistician
What Applications do Industrial Statisticians See?
What Tools Does an Industrial Statistician Need?
Statistics Graduate Program
Personality of a Statistician
Other Skills
Six Sigma
Internships for Statistics Graduate Students
Concluding Remarks
!My Experiences4Intern GE 1973-1975
Iowa State University 1975-Present
Summers at Bell Labs (1978-1992)
Summer visits to GE (1992-2004)
Los Alamos affiliate (1998-present)
Extended work for Ford, HP, and other companies (1993-present)
Various other consulting experiences in product reliability and nondestructive evaluation550THE ROLE OF STATISTICS IN BUSINESS AND INDUSTRY11(GERALD J. HAHN NECIP DOGANAKSOY
Retiree, GE Company GE Company
Schenectady, New York Schenectady, New York$' c(Evolution of the Industrial Statistician))$DSnapshot at 1975
Snapshot today
Can we extrapolate into the future?, %!$$f6Typical Tasks for an Industrial Statisticians in 197577 t
Design experiments
Modeling and analysis of data (including general number crunching)
Interpret results
Training
Conduct research for nonstandard problems
Many US statisticians worked in a statistics group within the company, e.g.:
Allied Chemical Amoco
Bell Labs DuPont
GE GM
IBM Kodak
Pratt and Whitney Proctor and Gamble
RCA Shell
How many remain?
\PPPf dThe Industrial Statistician s Environment in 200733$Modern statistical software can do an effective job of modeling and analysis of data and designing simple experiments, and readily accessible to all
Statisticians tend to get involved in more complicated interdisciplinary problems
Training customers (perhaps increased due to six-sigma)
Customers do not want pay for research (or even technical reports)
Fewer Statistics Groups. Most statisticians integrated into product development or manufacturing groups.
More need to be proactive, rather than reactiveZ3What Applications do Industrial Statisticians See?44 Product quality and manufacturing
Product design (including reliability)
Process design (including reliability)
Process monitoring
Warranty and other reliability field data
Marketing
Financial services
Environmental issues
Many other business processes<"Q"Q
:Some Statistical Tools Needed by Industrial Statisticians;; c
Bayesian Statistics
Categorical data methods
Censored data analysis
Design of experiments
Graphical methods
Image analysis
Multivariate analysis
Optimization
Regression analysis (linear and nonlinear)
Reliability theory
Response surface methods
Simulation
Spatial statistics
Statistical computing and programming
Survey sampling
Time series analysis
dPd5What Should Be in a Statistics Graduate Program Core?66(At least two semesters of mathematical statistics (probability and statistics, perhaps stochastic processes).
At least two semesters of statistical modeling and methods with applications (linear and nonlinear regression and maximum likelihood)
SAS and R (or S-PLUS) use and programming, plus exposure to Excel, JMP or MINITAB
A creative project, thesis, and/or a course in consulting, and corresponding internship experience.PWhich Statistical Electives?
Design of experiments
Statistical methods for reliability
Statistical methods for quality
Others according to interests
Important: While pursuing a graduate degree, you cannot learn everything that you will need.
The purpose of education is to learn how to learn.
Statisticians should be prepared to learn (and in some cases develop) new methods to meet the needs of the client (through continuing education and self-study).
In some cases statisticians may need to suggest hiring an outside consultant for special problemsJZ6ZfPersonality of a StatisticianThe joke: A statistician is someone who loves to work with numbers but who did not have the personality to be an accountant.
The reality:
Today s Industrial Statistician works almost exclusively in collaborations with scientists, engineers, managers, and other non-statisticians.
Interpersonal skills are extremely importantR q
5Other Skills of an Effective Industrial Statistician66(Communications skills
Written
Listening
Presentation
Interpersonal
Leadership skills (needed to be proactive)
Knowledge of relevant subject matter areas, e.g.:
Biology
Business and Finance
Chemistry
Engineering
Genetics
Physics
Flexibility and adaptabilitytP-P]PEPP-]ECommunications with ClientsStatisticians should strive to learn some of the scientific/engineering background in the area of their client.
It is imperative that the statistician learn and use the language, notation, and traditions of the client s area.(prEffect of Six Sigma&The Controversy:
Is there anything new?
Is there any intellectual content?
Isn't it all about hype?
The Reality:
It is generally important to have data before making decisions.
The effective use of statistics will result in improvements of processes that have not been optimized.
The structure and discipline of six-sigma has led to effective use of statistics when there was a combination of strong support from above and effective training.
Managers in Six-Sigma companies have a much better understanding of and appreciation of variability.
PUPPPPPUSix Sigma Long-Term?cThe Question: What do you do after you have gotten all of the low-hanging fruit in Manufacturing?
The Answers:
In most companies there is lots of low-hanging fruit
Six-Sigma for business processes, commercial operations, etc.
Design for Six-Sigma
Lean Six Sigma, etc.
Statisticians need to cooperate, or they will be left out. We have much to contribute.dpZZWZ
UW-Internships for Statistics Graduate Students..(oValuable experiences possible (not the same as working in a university consulting lab)
Projects may lead to professional society presentations or publications
Effectiveness is highly dependent on the kind of project and attention of the mentor
Exposure to the business environment will provide perspective in subsequent years of study and for the eventual job search
ppConcluding Remarksz Industrial Statistics is nearly as broad as the Statistics discipline itself.
In spite of the new ability for others to do their own data analysis, there will continue to be healthy demand for statisticians in industry (but in somewhat different roles).
The truly effective industrial statistician will be knowledgeable about the company s business and the science and engineering used there, broad in perspective, and proactive in their work.Z/p rn1((
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