Lourdes Pozueta recibió en 2023 el premio Greenfield Challenge por parte de ENBIS por sus contribuciones a divulgar la aplicación de casos de éxito de la Estadística en un público de "no estadísticos". Antes de recibir el premio dio una charla mostrando experiencias de cómo comparte

1. The Statistics of future: Less Math and
more Visual Statistical Thinking
Lourdes Pozueta Fernández
AVANCEX+I
Paseo Julio Beobide, 11. 20750. Zumaia (Spain)
@ ENBIS-23 Valencia, 10-14S September
Connect:
lourdes.pozueta@avancex.com

2. • Studies: Math Theoretical Degree, MS Madison-UW, Phd UPC (X. Tort-Martorell)
• Baseline Training:
* 3 year: Cente for Quality and Productivity Improvement
Prof: George Box and Soren Bisgaard
* UPC with X. Tort-Martorell and A. Prat
2
ENBIS-23 Valencia, 10-14 September, 2023
• TEACHING UNIVERSITIES
• 10 years Professor at UPC. Collaborations with others
• RESEARCH: 2 years Project Manager at TECNALIA
• CONSULTING: > 15 years run my own business AVANCEX

3. 3
ENBIS-23 Valencia, 10-14 September, 2023

4. • to get closer to the KNOWLEDGE of SCIENCE (because of technology)
• to create fake news, theories,... accompanied by “facts” (easy to obtain nice pictures)
It has never been so easy ...
4
è There is a risk no one will believe in data in the future (many people
discovering wrong applications)
ENBIS-23 Valencia, 10-14 September, 2023
Science

5. My mission, where I put a lot of passion
INSPIRE the use of Statistics by sharing visual
applications with little mathematical theory
Examples:
1. Industry: Sharing successful applications of Statistical Engineering
2. School: Include Statistics in INSPIRA programme for girls
3. Media:
a. There is business if you Invest in solving problems!!!
b. Statistical Thinking in popular topics
5
ENBIS-23 Valencia, 10-14 September, 2023

6. 1- Industry: Sharing successful applications of Statistical Engineering
Objective: To show useful routines/methodologies in Industry
Main Topics: Design of Experiments, Diagnostics, how to apply tools
Target audiences: Engineers Associations, Continuous Improvement and Process technicians, Researchers, Managers,
Master students, Automotive Cluster,...
Youtube: ADDLINK/MINITAB
Diseño de Experimentos para distintas situaciones en fases
de prototipado o de fabricación
Dra. Lourdes Pozueta (avancex+i)
Workshops Webinars
6
ENBIS-23 Valencia, 10-14 September, 2023

7. Sharing successful applications of Statistical Engineering
Objective: To show useful routines/methodologies in Industry
Main Topics: Design of Experiments, Diagnostics, how to apply tools
Target audiences: Engineers Associations, Continuous Improvement and Process technicians, Researchers, Managers,
Master students, Automotive Cluster,...
Youtube: ADDLINK/MINITAB
Webinars
Diseño de Experimentos para distintas situaciones en fases
de prototipado o de fabricación
Dra. Lourdes Pozueta (avancex+i)
Workshops
7
ENBIS-23 Valencia, 10-14 September, 2023

8. DMAIC: Diagnóstico + Experimentación
13
Empresa/Producto DOLOR
no cumple tolerancias
Tecnología medir
días
horas
huellas
Modelo Creencias
Evidencias esperadas
Plan recogida de datos
Plan recogida de datos
Nuevos DATOS
DATOS
Análisis
Contrastar Creencias
Análisis
Plan Experimental
Causas Raíz posibles
Factor A
- +
Factor
B
Factor C
+
-
-
+
Nuevos DATOS
RESULTADOS
Beneficios
% calidad 100%
Velocidad de aprendizaje
è METodología
è Habilidades
DIAGNÓSTIVO alto nivel
DIAGNÓSTIVO a detale
PLAN EXPERIMENTAL
VALOR
al
NEGOCIO
EMPRESA Industrial
Tecnología del Dato
Ingeniería Estadística
Case Study: Caliper
ROLES: Statistician, Industry Expert, Technology Expert
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ENBIS-23 Valencia, 10-14 September, 2023
Case Presentation: Tuesday ENBIS-
Auditorium-8:50
* INTENTION
* ABILITIES
èImagine
Tools + Insights
è Special Glasses
STRATEGY

9. Design of Experiments methodology against trial and error or move un factor
The beauty and economy of recipe selection
Factor A
- +
1 factor
A
D
+
E
-
B
C
Factor A
- +
Factor
B
Factor C
+
-
-
+
3 factores
Factor A
- +
Factor
B
Factor
B
Factor A
+
-
16 ensayos:
2 factores
A
B
C
A
B
C
- D +
4 factores
2 factor
3 factor
4 factor
5 factor
1 DEFINITION and understanding
2 System affected: Flowcharts
3 Metrics, experimental unit, R&R and experimental variation
4 Mental model of believes: potential factors (Control and Noise)
5 Limitations
6 DOE: options
7 DOE: Selection
8 Operational Planification and Execution
9 Analysis of results
10 Interpretation, extract value y Decisions
Avancex Methodology for Experimentation
10PExperimentar
What can I do with a budget of 16 runs?
9
ENBIS-23 Valencia, 10-14 September, 2023

10. 2-SCHOOL: Include Statistics in INSPIRA programme for girls
Volunteer at INSPIRA Program:
• To inspire girls (11 years old) to think in STEAM
professional works
• Change gender stereotypes
• INSPIRA has a methology
• In addition to INSPIRA, I show teachers/students of
different ages “different Math” with my statistical
experiences and present them my ENBIS awards.
DMAIC: Diagnóstico + Experimentación
13
Empresa/Producto DOLOR
no cumple tolerancias
Tecnología medir
días
horas
huellas
Modelo Creencias
Evidencias esperadas
Plan recogida de datos
Plan recogida de datos
Nuevos DATOS
DATOS
Análisis
Contrastar Creencias
Análisis
Plan Experimental
Causas Raíz posibles
Factor A
- +
Factor
B
Fa
ctor
C
+
-
-
+
Nuevos DATOS
RESULTADOS
Beneficios
% calidad 100%
Velocidad de aprendizaje
è METodología
è Habilidades
DIAGNÓSTIVO alto nivel
DIAGNÓSTIVO a detale
PLAN EXPERIMENTAL
VALOR
al
NEGOCIO
EMPRESA Industrial
Tecnología del Dato
Ingeniería Estadística
In SCIENCE è We should work as doctors with patients!!!
10
ENBIS-23 Valencia, 10-14 September, 2023
Video
I share them, 5 years later

11. ENBIS-23 Valencia, 10-14 September, 2023
11
Schools, Universities must train how to get VALUE from tools
You must have
INTENTION when you
look at the DATA with
noise and
CONTEMPLATE with
patient

12. Target audiences: Managers. They put money to invest in Statistics
• Diagnostics: Fight against the impact of variability
• Save costs with DOE
• Apply IFT to anticipate to machine failures
• Train, train, train,..
è change habits and will make business!!
Carousel Linkedin Post
3a-Media: There is busine if you Invest in solving problems!!!
GRACIAS a TODOS los clientes, alumn@s y
colegas por darme la OPORTUNIDAD de
para seguir
y
El VALOR que aportamos!!
El PREMIO es también para tod@s VOSOTR@s
Best Manager Award ENBIS 2020
Recogí el premio en Trondheim
Verano 2022
12
ENBIS-23 Valencia, 10-14 September, 2023

13. 3b-Media: Statistical Thinking in popular topics
Math says: ”The prize will come soon"
'The Alphabet Game'
n=46
Note: The prize came after 109 ... with evidences of a not random process
Ratio: Focuses on the smallest
group: young people
Absolute Value: Focuses on the impact
Basque Television: Covid curves
13
ENBIS-23 Valencia, 10-14 September, 2023
Video
in TV

14. Our mission is:
ü To disseminate good practices and criticize bad ones.
ü Train people in a different way
14
Less Math and more Visual Statistical Thinking
ENBIS-23 Valencia, 10-14 September, 2023
• to get closer to the KNOWLEDGE of SCIENCE (because of technology)
• to create fake news, theories,... accompanied by “facts” (easy to obtain nice pictures)
It has never been so easy ...
è There is a risk no one will believe in data in the future
Science

15. Success? My daughter & son
15
10 years later
Tabla 1: Resultados de fuerza y profundidad máxima de los 32 experimentos propuestos
N º K n µ t rp FBH rd F. Max (kN) Alt. Max (mm)
1 -1 -1 -1 -1 -1 -1 -1 16,267 10
2 1 -1 -1 -1 1 -1 1 4,233 3
3 -1 1 -1 -1 1 1 -1 9,270 7
4 1 1 -1 -1 -1 1 1 20,529 9
5 -1 -1 1 -1 1 1 1 13,519 9
6 1 -1 1 -1 -1 1 -1 7,065 1,7
7 -1 1 1 -1 -1 -1 1 11,997 8
8 1 1 1 -1 1 -1 -1 20,306 8
9 -1 -1 -1 1 -1 1 1 32,182 7,5
10 1 -1 -1 1 1 1 -1 12,628 1,5
11 -1 1 -1 1 1 -1 1 21,928 10
12 1 1 -1 1 -1 -1 -1 49,963 3,5
13 -1 -1 1 1 1 -1 -1 35,711 7,5
14 1 -1 1 1 -1 -1 1 13,878 1,5
15 -1 1 1 1 -1 1 -1 31,564 3,8
16 1 1 1 1 1 1 1 57,409 10
17 -1 1 -1 -1 -1 -1 -1 11,429 7
18 1 1 -1 -1 1 -1 1 19,332 11,5
19 -1 -1 -1 -1 1 1 -1 16,262 10
20 1 -1 -1 -1 -1 1 1 5,468 2,5
21 -1 1 1 -1 1 1 1 7,944 7,5
22 1 1 1 -1 -1 1 -1 26,503 6,6
23 -1 -1 1 -1 -1 -1 1 17,944 9,5
24 1 -1 1 -1 1 -1 -1 5,661 2,5
25 -1 1 -1 1 -1 1 1 50,742 7,2
26 1 1 -1 1 1 1 -1 71,401 7
27 -1 -1 -1 1 1 -1 1 59,126 10,5
28 1 -1 -1 1 -1 -1 -1 20,132 1,5
29 -1 1 1 1 1 -1 -1 45,571 7,2
30 1 1 1 1 -1 -1 1 58,145 7
31 -1 -1 1 1 -1 1 -1 84,654 4
32 1 -1 1 1 1 1 1 10,653 2
SON: Mechanical Engineer
ü Change habits at the University
ü Follows methodology 10experimentar
ü Apply it!!
12-14 years old
ENBIS-23 Valencia, 10-14 September, 2023
Video

16. DMAIC: Diagnóstico + Experimentación
13
Empresa/Producto DOLOR
no cumple tolerancias
Tecnología medir
días
horas
huellas
Modelo Creencias
Evidencias esperadas
Plan recogida de datos
Plan recogida de datos
Nuevos DATOS
DATOS
Análisis
Contrastar Creencias
Análisis
Plan Experimental
Causas Raíz posibles
Factor A
- +
Factor
B
Fa
ctor
C
+
-
-
+
Nuevos DATOS
RESULTADOS
Beneficios
% calidad 100%
Velocidad de aprendizaje
è METodología
è Habilidades
DIAGNÓSTIVO alto nivel
DIAGNÓSTIVO a detale
PLAN EXPERIMENTAL
VALOR
al
NEGOCIO
EMPRESA Industrial
Tecnología del Dato
Ingeniería Estadística
Thank you very much
lourdes.pozueta@avancex.com
16
Factor A
- +
A
D
+
E
-
B
C
Factor A
- +
Factor
B
Fa
cto
r C
+
-
-
+
3 factores
Factor A
- +
Factor
B
Factor
B
Factor A
+
-
16 ensayos:
2 factores
A
B
C
A
B
C
- D +
4 factores
DOE
ENBIS-23 Valencia, 10-14 September, 2023