SlideShare una empresa de Scribd logo
1 de 18
Dr. Dean De Cock
Associate Professor Statistics
Truman State University
Department of Mathematics and
Computer Science
Outline
Background about me
 Where I’m at now (TSU)
 Where I’ve worked
 Where I’ve gone to school
 How statistics was involved
 Please ask questions!
Statistics in Industry
Employment
2
Where is Truman?
Kirksville, MO
Pop. 17,000
3 hours from
everywhere….
3
Truman State University
Public Liberal Arts Institution
 N=6000
 Primarily undergraduate
 Highly Selective (Average ACT=27)
 No engineering program (2/3 & 3/2)
 No statistic major
4
Truman State University
STAT190 – Introductory Statistics
 Required for everyone
Statistics Minor (Theoretical)
Statistical Methods Minor (Applied)
Regression, Design of Experiments,
Quality Control, and Non-parametrics
5
Why should you be interested?
Where I’m at now
 Truman State might not be that relevant
But how I got there
 Not your typical statistician…..
6
Iowa State University
B.S. Mechanical Engineering
 Unusual that I am NOT a math major
 “Real” Engineer
 Thermo, Heat/Mass, Statistics/Dynamics, etc.
 Machine Design and HVAC
 Worked with fluidized bed combustors
 Almost no statistics!!!
 Internship at ALCOA after my 4th year
7
ALCOA
Aluminum Company of America
 They make metal – sheet, plate, shapes
Project Engineer (2 years)
 Rarely used my degree
 Managed $$, manpower
 Furnace Gaging (R&R)
 Took my first Statistical Quality Class
 Ingot Saw (pre, post, purchase)
Economic Downturn($ back to school $)
8
University of Iowa
MS in Quality Management and
Productivity (Stats, IE, & MBA)
Coursework
 Probability & Statistics, Regression, DOE,
Time Series, Multivariate Data Analysis,
Quality Control, Reliability, Administration,
Linear programming, Quality Engineering,
Interned at Maytag
9
Maytag
Quality Engineer for Washing Machines
 Used my training in Engineering & Stats
 Day-to-Day Trouble shooting (JAT)
 Process improvement
 Teams, Teams, & more Teams
 Statistics
 Control charts
 Gage R&R’s (Repeatability & Reproducibility)
 Incoming Inspection/Dimensional Tolerancing
 Supplier Audits
10
Maytag
Statistical training
 Control charting, DOE, Big Red X
I’m the statistical expert??!!
 Consultant
 Charting Multi-spindle machines
 R&D dryer design (DOE)
 Team Evaluation (Time Series)
 Recall issues
Back to school
11
Iowa State University
Co-major Ph.D in Statistics and
Industrial Engineering (5.5 years)
 Coursework
 Probability & Statistics, Statistical Methods,
Design of Experiments I & II, Linear Models,
Categorical Data, Quality Control, Reliability,
Queuing Theory, Game Theory, Simulations,
Linear programming, Scheduling
 Consultant to the engineering college
12
Internships (during Ph.D.)
Lennox – Quality Department
 Furnaces
 No Sweat Statistics
3M – Optical system (2 summers)
 Computer Glare Screens
 Statistics everywhere!!
Corning – Ceramics (NY)
 Catalytic Converter components
13
Statistics in Industry
John Deere
 http://www.deere.com/en_US/careers/your_career/quality_eng.html
Boeing
 http://www.boeingsuppliers.com/supplier/d1-9000-1.pdf
ASQ
 Numerous companies in Midwest
Monster
 Six Sigma (black belt), Quality Engineer,
Design of Experiments, SPC, ASQ Cert.
14
Internships – Get one!
Hardees-Ames Lab-Terracon Consult.
ALCOA (4th year) – Full time offer
Maytag (M.S.) – Full time offer
Lennox (Ph.D) – Quit graduate school?
3M (Ph.D.) – Full Time offer
Corning (Ph.D.)– Full Time offer
15
Its not about the job!
It’s not about the work you do
 You will not accomplish anything useful in
a summer
But rather the type of worker you are
 Are you dependable? Are you self
motivated? Do you get things done?
Think of it as a 3 month job interview
 http://www.deere.com/en_US/careers/college/engineering_intern.html
16
Conclusions
Almost every manufacturer collects data
Statistics is a tool for understanding
data
Take what you can here at the U of I
 Midwest Research Institute (MRI)
 Self taught
 Design of Experiments, Quality Control,
Quality Management
17
Questions?
18

Más contenido relacionado

Similar a UofIRhonda (1).ppt

405_02_Montgomery_Introduction-to-statistical-quality-control-7th-edtition-20...
405_02_Montgomery_Introduction-to-statistical-quality-control-7th-edtition-20...405_02_Montgomery_Introduction-to-statistical-quality-control-7th-edtition-20...
405_02_Montgomery_Introduction-to-statistical-quality-control-7th-edtition-20...ssuserac56571
 
2012.06.12 Research on Academic Entrepreneurship: Lessons Learnt Part 2
2012.06.12 Research on Academic Entrepreneurship: Lessons Learnt Part 22012.06.12 Research on Academic Entrepreneurship: Lessons Learnt Part 2
2012.06.12 Research on Academic Entrepreneurship: Lessons Learnt Part 2NUI Galway
 
2012.06.12 Research on Academic Entrepreneurship: Lessons Learnt. Part 1
2012.06.12 Research on Academic Entrepreneurship: Lessons Learnt. Part 12012.06.12 Research on Academic Entrepreneurship: Lessons Learnt. Part 1
2012.06.12 Research on Academic Entrepreneurship: Lessons Learnt. Part 1NUI Galway
 
Algorithmic Impact Assessment: Fairness, Robustness and Explainability in Aut...
Algorithmic Impact Assessment: Fairness, Robustness and Explainability in Aut...Algorithmic Impact Assessment: Fairness, Robustness and Explainability in Aut...
Algorithmic Impact Assessment: Fairness, Robustness and Explainability in Aut...Adriano Soares Koshiyama
 
t-Test Project Instructions and Rubric Project Overvi.docx
t-Test Project Instructions and Rubric  Project Overvi.docxt-Test Project Instructions and Rubric  Project Overvi.docx
t-Test Project Instructions and Rubric Project Overvi.docxmattinsonjanel
 
how to win an argument by reading syllabus
how to win an argument by reading syllabushow to win an argument by reading syllabus
how to win an argument by reading syllabuspsyc3
 
AMMR HAMMAD Portfolio
AMMR HAMMAD PortfolioAMMR HAMMAD Portfolio
AMMR HAMMAD PortfolioAMMR HAMMAD
 
Schaum Outlines Of Beginning Statistics.pdf
Schaum Outlines Of Beginning Statistics.pdfSchaum Outlines Of Beginning Statistics.pdf
Schaum Outlines Of Beginning Statistics.pdfSahat Hutajulu
 
Aseel Ayoub letter feb 2015 what is SE
Aseel Ayoub letter feb 2015 what is SEAseel Ayoub letter feb 2015 what is SE
Aseel Ayoub letter feb 2015 what is SEaseel ayoub
 
Box Plots vs Data Plots
Box Plots vs Data PlotsBox Plots vs Data Plots
Box Plots vs Data PlotsJuran Global
 
GradTrack: Getting Started with Statistics September 20, 2018
GradTrack: Getting Started with Statistics September 20, 2018GradTrack: Getting Started with Statistics September 20, 2018
GradTrack: Getting Started with Statistics September 20, 2018Nancy Garmer
 
Why Choose Engineering or Computer Science
Why Choose Engineering or Computer Science Why Choose Engineering or Computer Science
Why Choose Engineering or Computer Science Ehsan Ullah Kakar
 
1introduction3.pdf1introduction3.pdf1introduction3.pdf
1introduction3.pdf1introduction3.pdf1introduction3.pdf1introduction3.pdf1introduction3.pdf1introduction3.pdf
1introduction3.pdf1introduction3.pdf1introduction3.pdfEmersonRosal1
 
rbs - presentation about applications of machine learning.
rbs - presentation about applications of machine learning.rbs - presentation about applications of machine learning.
rbs - presentation about applications of machine learning.ChellamuthuMech
 
Resume-Luan Sitao
Resume-Luan SitaoResume-Luan Sitao
Resume-Luan SitaoSitao Luan
 

Similar a UofIRhonda (1).ppt (20)

Data Science at UC Irvine
Data Science at UC IrvineData Science at UC Irvine
Data Science at UC Irvine
 
405_02_Montgomery_Introduction-to-statistical-quality-control-7th-edtition-20...
405_02_Montgomery_Introduction-to-statistical-quality-control-7th-edtition-20...405_02_Montgomery_Introduction-to-statistical-quality-control-7th-edtition-20...
405_02_Montgomery_Introduction-to-statistical-quality-control-7th-edtition-20...
 
2012.06.12 Research on Academic Entrepreneurship: Lessons Learnt Part 2
2012.06.12 Research on Academic Entrepreneurship: Lessons Learnt Part 22012.06.12 Research on Academic Entrepreneurship: Lessons Learnt Part 2
2012.06.12 Research on Academic Entrepreneurship: Lessons Learnt Part 2
 
2012.06.12 Research on Academic Entrepreneurship: Lessons Learnt. Part 1
2012.06.12 Research on Academic Entrepreneurship: Lessons Learnt. Part 12012.06.12 Research on Academic Entrepreneurship: Lessons Learnt. Part 1
2012.06.12 Research on Academic Entrepreneurship: Lessons Learnt. Part 1
 
Algorithmic Impact Assessment: Fairness, Robustness and Explainability in Aut...
Algorithmic Impact Assessment: Fairness, Robustness and Explainability in Aut...Algorithmic Impact Assessment: Fairness, Robustness and Explainability in Aut...
Algorithmic Impact Assessment: Fairness, Robustness and Explainability in Aut...
 
t-Test Project Instructions and Rubric Project Overvi.docx
t-Test Project Instructions and Rubric  Project Overvi.docxt-Test Project Instructions and Rubric  Project Overvi.docx
t-Test Project Instructions and Rubric Project Overvi.docx
 
how to win an argument by reading syllabus
how to win an argument by reading syllabushow to win an argument by reading syllabus
how to win an argument by reading syllabus
 
Resume_141205_linkedin
Resume_141205_linkedinResume_141205_linkedin
Resume_141205_linkedin
 
AMMR HAMMAD Portfolio
AMMR HAMMAD PortfolioAMMR HAMMAD Portfolio
AMMR HAMMAD Portfolio
 
Schaum Outlines Of Beginning Statistics.pdf
Schaum Outlines Of Beginning Statistics.pdfSchaum Outlines Of Beginning Statistics.pdf
Schaum Outlines Of Beginning Statistics.pdf
 
Aseel Ayoub letter feb 2015 what is SE
Aseel Ayoub letter feb 2015 what is SEAseel Ayoub letter feb 2015 what is SE
Aseel Ayoub letter feb 2015 what is SE
 
Box Plots vs Data Plots
Box Plots vs Data PlotsBox Plots vs Data Plots
Box Plots vs Data Plots
 
Academic resume
Academic resumeAcademic resume
Academic resume
 
GradTrack: Getting Started with Statistics September 20, 2018
GradTrack: Getting Started with Statistics September 20, 2018GradTrack: Getting Started with Statistics September 20, 2018
GradTrack: Getting Started with Statistics September 20, 2018
 
GradTrack: Getting Started with Statistics September 20, 2018
GradTrack: Getting Started with Statistics September 20, 2018GradTrack: Getting Started with Statistics September 20, 2018
GradTrack: Getting Started with Statistics September 20, 2018
 
Why Choose Engineering or Computer Science
Why Choose Engineering or Computer Science Why Choose Engineering or Computer Science
Why Choose Engineering or Computer Science
 
JGRIFF CV_UCov v4
JGRIFF CV_UCov v4JGRIFF CV_UCov v4
JGRIFF CV_UCov v4
 
1introduction3.pdf1introduction3.pdf1introduction3.pdf
1introduction3.pdf1introduction3.pdf1introduction3.pdf1introduction3.pdf1introduction3.pdf1introduction3.pdf
1introduction3.pdf1introduction3.pdf1introduction3.pdf
 
rbs - presentation about applications of machine learning.
rbs - presentation about applications of machine learning.rbs - presentation about applications of machine learning.
rbs - presentation about applications of machine learning.
 
Resume-Luan Sitao
Resume-Luan SitaoResume-Luan Sitao
Resume-Luan Sitao
 

Más de srinivasa gowda

601109769-Pythondyttcjycvuv-Inheritance .pptx
601109769-Pythondyttcjycvuv-Inheritance .pptx601109769-Pythondyttcjycvuv-Inheritance .pptx
601109769-Pythondyttcjycvuv-Inheritance .pptxsrinivasa gowda
 
ImageToPDF 26-05-2022 07.44.32.pdf
ImageToPDF 26-05-2022 07.44.32.pdfImageToPDF 26-05-2022 07.44.32.pdf
ImageToPDF 26-05-2022 07.44.32.pdfsrinivasa gowda
 
Vodafone_Network_Mobile_Recording_EBOOK (2) (1).pdf
Vodafone_Network_Mobile_Recording_EBOOK (2) (1).pdfVodafone_Network_Mobile_Recording_EBOOK (2) (1).pdf
Vodafone_Network_Mobile_Recording_EBOOK (2) (1).pdfsrinivasa gowda
 
Sa88 e agenda-after-tdoc-deadlines
Sa88 e agenda-after-tdoc-deadlinesSa88 e agenda-after-tdoc-deadlines
Sa88 e agenda-after-tdoc-deadlinessrinivasa gowda
 
Sa88 e agenda-after-tdoc-deadlines
Sa88 e agenda-after-tdoc-deadlinesSa88 e agenda-after-tdoc-deadlines
Sa88 e agenda-after-tdoc-deadlinessrinivasa gowda
 
Koshish saphalataa ke our
Koshish saphalataa ke ourKoshish saphalataa ke our
Koshish saphalataa ke oursrinivasa gowda
 
Thesis dissertation-jesus-alonso-vfinal (1) unlocked-pr
Thesis dissertation-jesus-alonso-vfinal (1) unlocked-prThesis dissertation-jesus-alonso-vfinal (1) unlocked-pr
Thesis dissertation-jesus-alonso-vfinal (1) unlocked-prsrinivasa gowda
 

Más de srinivasa gowda (11)

601109769-Pythondyttcjycvuv-Inheritance .pptx
601109769-Pythondyttcjycvuv-Inheritance .pptx601109769-Pythondyttcjycvuv-Inheritance .pptx
601109769-Pythondyttcjycvuv-Inheritance .pptx
 
NS2-tutorial.pdf
NS2-tutorial.pdfNS2-tutorial.pdf
NS2-tutorial.pdf
 
ROBOTICS.pdf
ROBOTICS.pdfROBOTICS.pdf
ROBOTICS.pdf
 
29042023.pptx
29042023.pptx29042023.pptx
29042023.pptx
 
Comer-Ch16.ppt
Comer-Ch16.pptComer-Ch16.ppt
Comer-Ch16.ppt
 
ImageToPDF 26-05-2022 07.44.32.pdf
ImageToPDF 26-05-2022 07.44.32.pdfImageToPDF 26-05-2022 07.44.32.pdf
ImageToPDF 26-05-2022 07.44.32.pdf
 
Vodafone_Network_Mobile_Recording_EBOOK (2) (1).pdf
Vodafone_Network_Mobile_Recording_EBOOK (2) (1).pdfVodafone_Network_Mobile_Recording_EBOOK (2) (1).pdf
Vodafone_Network_Mobile_Recording_EBOOK (2) (1).pdf
 
Sa88 e agenda-after-tdoc-deadlines
Sa88 e agenda-after-tdoc-deadlinesSa88 e agenda-after-tdoc-deadlines
Sa88 e agenda-after-tdoc-deadlines
 
Sa88 e agenda-after-tdoc-deadlines
Sa88 e agenda-after-tdoc-deadlinesSa88 e agenda-after-tdoc-deadlines
Sa88 e agenda-after-tdoc-deadlines
 
Koshish saphalataa ke our
Koshish saphalataa ke ourKoshish saphalataa ke our
Koshish saphalataa ke our
 
Thesis dissertation-jesus-alonso-vfinal (1) unlocked-pr
Thesis dissertation-jesus-alonso-vfinal (1) unlocked-prThesis dissertation-jesus-alonso-vfinal (1) unlocked-pr
Thesis dissertation-jesus-alonso-vfinal (1) unlocked-pr
 

Último

TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor CatchersTechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catcherssdickerson1
 
8251 universal synchronous asynchronous receiver transmitter
8251 universal synchronous asynchronous receiver transmitter8251 universal synchronous asynchronous receiver transmitter
8251 universal synchronous asynchronous receiver transmitterShivangiSharma879191
 
Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfROCENODodongVILLACER
 
welding defects observed during the welding
welding defects observed during the weldingwelding defects observed during the welding
welding defects observed during the weldingMuhammadUzairLiaqat
 
Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...121011101441
 
Indian Dairy Industry Present Status and.ppt
Indian Dairy Industry Present Status and.pptIndian Dairy Industry Present Status and.ppt
Indian Dairy Industry Present Status and.pptMadan Karki
 
Piping Basic stress analysis by engineering
Piping Basic stress analysis by engineeringPiping Basic stress analysis by engineering
Piping Basic stress analysis by engineeringJuanCarlosMorales19600
 
computer application and construction management
computer application and construction managementcomputer application and construction management
computer application and construction managementMariconPadriquez1
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxk795866
 
Class 1 | NFPA 72 | Overview Fire Alarm System
Class 1 | NFPA 72 | Overview Fire Alarm SystemClass 1 | NFPA 72 | Overview Fire Alarm System
Class 1 | NFPA 72 | Overview Fire Alarm Systemirfanmechengr
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AIabhishek36461
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleAlluxio, Inc.
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionDr.Costas Sachpazis
 
Unit7-DC_Motors nkkjnsdkfnfcdfknfdgfggfg
Unit7-DC_Motors nkkjnsdkfnfcdfknfdgfggfgUnit7-DC_Motors nkkjnsdkfnfcdfknfdgfggfg
Unit7-DC_Motors nkkjnsdkfnfcdfknfdgfggfgsaravananr517913
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile servicerehmti665
 
US Department of Education FAFSA Week of Action
US Department of Education FAFSA Week of ActionUS Department of Education FAFSA Week of Action
US Department of Education FAFSA Week of ActionMebane Rash
 
lifi-technology with integration of IOT.pptx
lifi-technology with integration of IOT.pptxlifi-technology with integration of IOT.pptx
lifi-technology with integration of IOT.pptxsomshekarkn64
 
Transport layer issues and challenges - Guide
Transport layer issues and challenges - GuideTransport layer issues and challenges - Guide
Transport layer issues and challenges - GuideGOPINATHS437943
 

Último (20)

TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor CatchersTechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
 
8251 universal synchronous asynchronous receiver transmitter
8251 universal synchronous asynchronous receiver transmitter8251 universal synchronous asynchronous receiver transmitter
8251 universal synchronous asynchronous receiver transmitter
 
Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdf
 
welding defects observed during the welding
welding defects observed during the weldingwelding defects observed during the welding
welding defects observed during the welding
 
Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...
 
Indian Dairy Industry Present Status and.ppt
Indian Dairy Industry Present Status and.pptIndian Dairy Industry Present Status and.ppt
Indian Dairy Industry Present Status and.ppt
 
Piping Basic stress analysis by engineering
Piping Basic stress analysis by engineeringPiping Basic stress analysis by engineering
Piping Basic stress analysis by engineering
 
computer application and construction management
computer application and construction managementcomputer application and construction management
computer application and construction management
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptx
 
Class 1 | NFPA 72 | Overview Fire Alarm System
Class 1 | NFPA 72 | Overview Fire Alarm SystemClass 1 | NFPA 72 | Overview Fire Alarm System
Class 1 | NFPA 72 | Overview Fire Alarm System
 
Past, Present and Future of Generative AI
Past, Present and Future of Generative AIPast, Present and Future of Generative AI
Past, Present and Future of Generative AI
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at Scale
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
 
Unit7-DC_Motors nkkjnsdkfnfcdfknfdgfggfg
Unit7-DC_Motors nkkjnsdkfnfcdfknfdgfggfgUnit7-DC_Motors nkkjnsdkfnfcdfknfdgfggfg
Unit7-DC_Motors nkkjnsdkfnfcdfknfdgfggfg
 
POWER SYSTEMS-1 Complete notes examples
POWER SYSTEMS-1 Complete notes  examplesPOWER SYSTEMS-1 Complete notes  examples
POWER SYSTEMS-1 Complete notes examples
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
 
US Department of Education FAFSA Week of Action
US Department of Education FAFSA Week of ActionUS Department of Education FAFSA Week of Action
US Department of Education FAFSA Week of Action
 
lifi-technology with integration of IOT.pptx
lifi-technology with integration of IOT.pptxlifi-technology with integration of IOT.pptx
lifi-technology with integration of IOT.pptx
 
Transport layer issues and challenges - Guide
Transport layer issues and challenges - GuideTransport layer issues and challenges - Guide
Transport layer issues and challenges - Guide
 
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
 

UofIRhonda (1).ppt

  • 1. Dr. Dean De Cock Associate Professor Statistics Truman State University Department of Mathematics and Computer Science
  • 2. Outline Background about me  Where I’m at now (TSU)  Where I’ve worked  Where I’ve gone to school  How statistics was involved  Please ask questions! Statistics in Industry Employment 2
  • 3. Where is Truman? Kirksville, MO Pop. 17,000 3 hours from everywhere…. 3
  • 4. Truman State University Public Liberal Arts Institution  N=6000  Primarily undergraduate  Highly Selective (Average ACT=27)  No engineering program (2/3 & 3/2)  No statistic major 4
  • 5. Truman State University STAT190 – Introductory Statistics  Required for everyone Statistics Minor (Theoretical) Statistical Methods Minor (Applied) Regression, Design of Experiments, Quality Control, and Non-parametrics 5
  • 6. Why should you be interested? Where I’m at now  Truman State might not be that relevant But how I got there  Not your typical statistician….. 6
  • 7. Iowa State University B.S. Mechanical Engineering  Unusual that I am NOT a math major  “Real” Engineer  Thermo, Heat/Mass, Statistics/Dynamics, etc.  Machine Design and HVAC  Worked with fluidized bed combustors  Almost no statistics!!!  Internship at ALCOA after my 4th year 7
  • 8. ALCOA Aluminum Company of America  They make metal – sheet, plate, shapes Project Engineer (2 years)  Rarely used my degree  Managed $$, manpower  Furnace Gaging (R&R)  Took my first Statistical Quality Class  Ingot Saw (pre, post, purchase) Economic Downturn($ back to school $) 8
  • 9. University of Iowa MS in Quality Management and Productivity (Stats, IE, & MBA) Coursework  Probability & Statistics, Regression, DOE, Time Series, Multivariate Data Analysis, Quality Control, Reliability, Administration, Linear programming, Quality Engineering, Interned at Maytag 9
  • 10. Maytag Quality Engineer for Washing Machines  Used my training in Engineering & Stats  Day-to-Day Trouble shooting (JAT)  Process improvement  Teams, Teams, & more Teams  Statistics  Control charts  Gage R&R’s (Repeatability & Reproducibility)  Incoming Inspection/Dimensional Tolerancing  Supplier Audits 10
  • 11. Maytag Statistical training  Control charting, DOE, Big Red X I’m the statistical expert??!!  Consultant  Charting Multi-spindle machines  R&D dryer design (DOE)  Team Evaluation (Time Series)  Recall issues Back to school 11
  • 12. Iowa State University Co-major Ph.D in Statistics and Industrial Engineering (5.5 years)  Coursework  Probability & Statistics, Statistical Methods, Design of Experiments I & II, Linear Models, Categorical Data, Quality Control, Reliability, Queuing Theory, Game Theory, Simulations, Linear programming, Scheduling  Consultant to the engineering college 12
  • 13. Internships (during Ph.D.) Lennox – Quality Department  Furnaces  No Sweat Statistics 3M – Optical system (2 summers)  Computer Glare Screens  Statistics everywhere!! Corning – Ceramics (NY)  Catalytic Converter components 13
  • 14. Statistics in Industry John Deere  http://www.deere.com/en_US/careers/your_career/quality_eng.html Boeing  http://www.boeingsuppliers.com/supplier/d1-9000-1.pdf ASQ  Numerous companies in Midwest Monster  Six Sigma (black belt), Quality Engineer, Design of Experiments, SPC, ASQ Cert. 14
  • 15. Internships – Get one! Hardees-Ames Lab-Terracon Consult. ALCOA (4th year) – Full time offer Maytag (M.S.) – Full time offer Lennox (Ph.D) – Quit graduate school? 3M (Ph.D.) – Full Time offer Corning (Ph.D.)– Full Time offer 15
  • 16. Its not about the job! It’s not about the work you do  You will not accomplish anything useful in a summer But rather the type of worker you are  Are you dependable? Are you self motivated? Do you get things done? Think of it as a 3 month job interview  http://www.deere.com/en_US/careers/college/engineering_intern.html 16
  • 17. Conclusions Almost every manufacturer collects data Statistics is a tool for understanding data Take what you can here at the U of I  Midwest Research Institute (MRI)  Self taught  Design of Experiments, Quality Control, Quality Management 17