2.- Quality and the Art of Discovery by George Box Part II

Taller Diseño de Experimentos
7 Jan 201920:06

Summary

TLDREl guion trata sobre la creatividad humana y cómo puede ser utilizada para mejorar sistemas y procesos. Se enfatiza que todos los seres humanos son creativos y que esta creatividad se desperdicia en la actualidad. El vídeo explica cómo la responsabilidad de la mejora de la calidad es de cada individuo y no solo de un departamento. Se presentan herramientas sencillas como diagramas de Pareto, diagramas de causas-efectos (también conocidos como diagramas de Ishikawa o 'caja de pescado'), histogramas, y gráficos de dispersión para ayudar a las personas a detectar y solucionar problemas en su entorno de trabajo. El objetivo es pasar de la inspección de calidad a la detección de calidad, involucrando a todos en la mejora continua.

Takeaways

  • 🧠 **Creación de soluciones**: Los humanos son capaces de crear y encontrar soluciones a problemas, lo que los distingue de otros animales.
  • 🚀 **Creación innata**: Todos los seres humanos son creativos, aunque la cantidad de creatividad puede variar de persona a persona.
  • 📊 **Distribución de creatividad**: La creatividad se distribuye de manera similar a otras características humanas, como la altura, y no todos tienen la misma cantidad.
  • 🔍 **Solución de problemas**: Muchas de las soluciones a los problemas organizacionales son sencillas y accesibles para aquellos con una cantidad promedio de creatividad.
  • 🌐 **Sistemas de mejora**: Cada sistema operativo proporciona información sobre cómo puede mejorarse, y la mejora de la calidad es responsabilidad de cada individuo.
  • 🤝 **Empowerment**: Los individuos deben estar empoderados para asumir responsabilidades y mejorar el sistema en el que trabajan.
  • 📈 **Herramientas de mejora**: Se pueden utilizar herramientas simples como diagramas de Pareto, diagramas de causas-efectos, hojas de chequeo, histogramas, estratificaciones, gráficos y diagramas de dispersión para mejorar la calidad.
  • 🔧 **Aplicación práctica**: Estas herramientas no solo se pueden usar en procesos de producción, sino también en otros contextos, como la atención médica.
  • 🌟 **Transformación cultural**: La filosofía de gestión debe cambiar para permitir que todos los empleados contribuyan a la mejora continua del sistema.
  • 📉 **Reducción de defectos**: La mejora continua puede reducir drásticamente los defectos en los productos, como se demuestra en un caso de estudio de una fábrica de televisores.

Q & A

  • ¿Qué es lo que distingue a los seres humanos de los demás animales según el transcript?

    -Los seres humanos se distinguen por su capacidad para ser creativos y solucionar problemas, a diferencia de otros animales que siguen instintos básicos.

  • ¿Por qué la creatividad de los seres humanos es importante según el guion?

    -La creatividad es importante porque permite a los humanos adaptarse, innovar y mejorar su calidad de vida, algo que no se observa en el reino animal.

  • ¿Cuál es la distribución de la creatividad entre las personas según el texto?

    -La creatividad se distribuye de manera similar a la curva normal, con la mayoría de las personas teniendo una cantidad promedio de creatividad y unos pocos con niveles muy altos o bajos.

  • ¿Por qué la creatividad no se está utilizando al máximo según el guion?

    -La creatividad no se está utilizando al máximo porque en el pasado se dependía de un grupo selecto de personas con alta creatividad para generar ideas, mientras que la gran mayoría de la creatividad de las personas promedio y aquellos con menos creatividad se desperdiciaba.

  • ¿Qué tipo de problemas requiere una cantidad limitada de creatividad para resolverlos?

    -Los problemas que afectan a las organizaciones a menudo son básicos y sencillos, y no requieren un genio para ser resueltos, sino más bien una distribución equitativa de la creatividad existente.

  • ¿Qué es lo que cada sistema operativo proporciona según el guion?

    -Cada sistema operativo proporciona información sobre cómo puede mejorarse, lo que se puede utilizar para fomentar la creatividad y la mejora continua.

  • ¿Qué libro de W. Edwards Deming se menciona en el guion y qué enseña?

    -Se menciona el libro 'Out of the Crisis' de W. Edwards Deming, que enseña que la mejora de la calidad es la responsabilidad de cada individuo y no solo de un departamento de calidad.

  • ¿Qué es lo que cada individuo debe estar capacitado para hacer según Deming?

    -Cada individuo debe estar capacitado para asumir responsabilidades y mejorar la calidad, teniendo la autoridad y los recursos necesarios para llevar a cabo sus tareas.

  • ¿Qué herramienta se menciona en el guion para mejorar la calidad y la productividad?

    -Se mencionan varias herramientas, incluyendo diagramas de Pareto, diagramas de causas-efectos (también conocidos como diagramas de Ishikawa o 'fishbone diagrams'), hojas de verificación, histogramas, estratificaciones, gráficos y diagramas de dispersión.

  • ¿Cómo se puede usar la información contenida en los defectos para mejorar un proceso según el guion?

    -La información contenida en los defectos, como los resortes con grietas, se puede usar para identificar las causas principales de los problemas y trabajar en la mejora del proceso, utilizando herramientas estadísticas y de calidad para analizar y solucionar problemas.

  • ¿Qué ejemplo se da en el guion para ilustrar cómo se pueden usar las herramientas de calidad para solucionar problemas?

    -Se da el ejemplo de una fábrica que produce resortes, donde se analizan los defectos de un grupo de resortes rechazados para identificar las causas principales de los problemas y mejorar el proceso de producción.

Outlines

00:00

😀 La creatividad humana y su potencial no utilizado

El primer párrafo aborda la capacidad creativa de los seres humanos y cómo esta no está siendo aprovechada al máximo. Se destaca que, a diferencia de otros animales, los humanos tienen la habilidad de crear y mejorar las cosas. La creatividad se distribuye de manera desigual entre las personas, y aunque hay individuos con altos niveles de creatividad, la mayoría de las personas tienen niveles promedio. La sociedad tradicionalmente ha dependido de estos individuos altamente creativos para generar ideas, pero hay una gran cantidad de creatividad que se desperdicia. Se argumenta que cada sistema operativo proporciona información sobre cómo mejorar y que la responsabilidad de la mejora de la calidad es de todos los individuos, no solo de los departamentos de calidad. Se menciona la filosofía de gestión de W. Edwards Deming y la importancia de empoderar a los individuos para que puedan mejorar su sistema.

05:01

👥 La importancia de los equipos y la toma de decisiones con datos

El segundo párrafo se centra en la importancia de trabajar en equipos y en la recopilación y discusión de datos para solucionar problemas. Se menciona un libro llamado 'A Team Handbook' que trata sobre cómo los equipos pueden colaborar con la gestión para mejorar la calidad continua. Los datos se recopilan para solucionar problemas en lugar de repartir culpabilidad. Se enfatiza la importancia de escuchar a aquellos que están cerca del sistema, como enfermeras o operarios, ya que tienen información valiosa para mejorar el proceso. Se introducen las técnicas de control de calidad de Ishikawa y los siete herramientas gráficas y estadísticas simples que se pueden usar para analizar problemas y mejorar procesos.

10:04

🔍 Herramientas para la detección de calidad y el análisis de datos

El tercer párrafo explica en detalle cómo se pueden usar las herramientas de Ishikawa para convertir a las personas en 'detectives de calidad'. Se da un ejemplo de cómo se pueden analizar los defectos en una producción de resortes, utilizando diagramas de Pareto, diagramas de causas-efectos (también conocidos como diagramas de Ishikawa o 'causa-efecto'), histogramas y gráficos de dispersión. Estas herramientas ayudan a identificar las causas principales de los problemas y a tomar decisiones basadas en datos en lugar de en prejuicios. Se argumenta que estos métodos pueden aplicarse en diferentes contextos, no solo en la producción de resortes.

15:05

🚀 La transición de la inspección de calidad a la detección de calidad

El cuarto y último párrafo discute cómo la aplicación de estas herramientas simples ha logrado muchos éxitos y ha revelado problemas más complejos que requieren técnicas más sofisticadas. Se menciona un ejemplo de una fábrica que ha reducido significativamente su tasa de defectos gracias a la mejora continua. Se destaca cómo la aplicación de estas técnicas ha llevado a una mejora en la calidad del producto, en el proceso y en la moral de los trabajadores. Se argumenta que, con las herramientas y el aliento adecuados, los trabajadores pueden ser más felices y productivos. Se sugiere que estos métodos pueden catalizar la creatividad y la mejora de la calidad y la productividad.

Mindmap

Keywords

💡creatividade

La creatividad es la capacidad de los seres humanos para generar ideas o soluciones originales y no estándar. En el vídeo, se destaca que todos los humanos son creativos y que esta creatividad puede y debe ser utilizada para mejorar las cosas. Se menciona que, a diferencia de otros animales, los humanos tienen la necesidad de ser creativos y que este atributo es lo que más nos diferencia del reino animal.

💡distribución

La distribución se refiere a cómo se reparte algo entre diferentes elementos de un conjunto. En el guion, se habla de la creatividad como un atributo que se distribuye de manera no uniforme entre las personas, con algunos siendo más creativos que otros. Esto se ilustra con una comparación gráfica que sugiere que mientras la mayoría de las personas tienen un nivel promedio de creatividad, hay individuos con niveles extremadamente altos o bajos.

💡sistemas

Un sistema es un conjunto de elementos interconectados que trabajan juntos para lograr un propósito. En el vídeo, se discute cómo cada sistema genera información que puede utilizarse para mejorarse a sí mismo. Los sistemas se presentan como entidades que, si se les da la oportunidad y los recursos adecuados, pueden evolucionar y mejorar constantemente.

💡mejora continua

La mejora continua es el proceso de mejora gradual y constante de los procesos y productos. En el vídeo, se menciona que la mejora continua es la responsabilidad de cada individuo en una empresa y no solo del departamento de calidad. Se enfatiza la importancia de la participación de todos los miembros del equipo en la búsqueda de mejoras.

💡responsabilidad individual

La responsabilidad individual hace referencia a la expectativa de que cada miembro de un equipo o organización asuma la responsabilidad de contribuir a la mejora continua. En el vídeo, se argumenta que cada persona, y no solo ciertos departamentos o roles, debe estar comprometida con la mejora de la calidad.

💡herramientas de mejora

Las herramientas de mejora son métodos y técnicas que se utilizan para identificar y solucionar problemas en los procesos de producción o servicio. En el vídeo, se mencionan varias herramientas de mejora, como los diagramas de Pareto, los diagramas de causas-efecto (también conocidos como diagramas de Ishikawa o diagramas de la empinada), las gráficas de control y otros, que ayudan a los trabajadores a ser 'detectives de la calidad'.

💡datos

Los datos son información recopilada de eventos o mediciones que se pueden analizar para obtener conocimiento o entender mejor un proceso. En el vídeo, se enfatiza la importancia de recopilar y discutir datos para solucionar problemas en lugar de usarlos para repartir la culpa. Los datos se presentan como una forma de involucrar a los trabajadores más cercanos al sistema en la mejora continua.

💡experimentos de diseño

Los experimentos de diseño son métodos estadísticos utilizados para planificar y ejecutar experimentos de manera que se pueda obtener la mayor cantidad de información posible con el menor número de ensayos. En el vídeo, se sugiere que los experimentos de diseño pueden aumentar la eficiencia de la investigación y, por lo tanto, catalizar la creatividad y la mejora de la calidad y productividad.

💡W. Edwards Deming

W. Edwards Deming fue un estadístico y consultor que desarrolló una filosofía de gestión conocida como 'Teoría de la calidad total'. En el vídeo, se menciona su libro 'Out of the Crisis' y su enfoque en la mejora de la calidad, la responsabilidad individual y la importancia de la información para mejorar los sistemas.

💡equipos de trabajo

Los equipos de trabajo son grupos de personas que trabajan juntas para lograr un objetivo común. En el vídeo, se habla de la importancia de los equipos de trabajo en la mejora continua, con la gestión desempeñando un papel de entrenador y los trabajadores trabajando juntos para solucionar problemas y mejorar procesos.

Highlights

Human beings have the unique ability to be creative and fix things.

Creativity is a human trait that has allowed us to progress significantly over time.

Everyone possesses creativity, but the amount varies among individuals.

In the past, society relied on a few highly creative individuals for innovation.

The distribution of creativity is similar to a normal distribution curve.

Many problems organizations face are simple and can be solved by average creativity.

The potential for creativity is often wasted due to lack of opportunity.

Every operating system provides information on how it can be improved.

A radically different management philosophy is needed to unleash creativity.

W. Edwards Deming's book 'Out of the Crisis' discusses the importance of quality improvement.

Quality improvement should be the responsibility of every individual.

Individuals must be empowered to undertake responsibilities for improvement.

The book 'The Team Handbook' by Peter Scholtes discusses worker teams and management cooperation.

Data should be collected for problem-solving, not for apportioning blame.

Ishikawa's 'Guide to Quality Control' introduces seven simple tools for quality improvement.

The seven tools include Pareto diagrams, cause-effect diagrams, check sheets, histograms, stratifications, graphs, and scatter plots.

Pareto diagrams help identify the main causes of problems.

Cause-effect diagrams, or fishbone charts, help explore potential causes of issues.

Histograms and stratifications provide insights into the distribution and nature of problems.

Scatter plots can reveal relationships between variables.

These tools can be applied in various fields, not just manufacturing.

The concept of quality detection is introduced as a proactive approach to quality improvement.

A real-world example of a factory reducing defect rates demonstrates the effectiveness of these methods.

Statistical experimental design can further enhance the efficiency of quality improvement.

Transcripts

play00:00

well human beings don't have to be

play00:04

powerless they do have the ability to

play00:06

fix things

play00:07

in fact what most distinguishes human

play00:10

beings from the rest of the animal

play00:11

kingdom Fish gotta swim Birds gotta fly

play00:15

human beings have to be creative

play00:18

everyone is creative if you could see

play00:23

some horses in the field 20,000 years

play00:26

ago saying what would they be doing

play00:29

ain't just running around doing the same

play00:31

kind of things that horses in the field

play00:33

now would be doing they wouldn't be

play00:34

doing anything different put human

play00:37

beings in the same position twenty

play00:39

thousand years ago in now by now they do

play00:42

learn to have clean water they didn't

play00:44

learn to clothe themselves to shelter

play00:46

themselves maybe even to make videos and

play00:49

movies so everyone is creative and most

play00:55

of that creativity at the moment is

play00:57

being is running to waste I want to show

play01:01

you how we can put it to good use

play01:09

everyone has creativity but not everyone

play01:12

are the same amount of creativity

play01:13

creativity like height or anything else

play01:16

must be distributed in some kind of

play01:18

distribution that looks like the Anna

play01:20

suppose and you know there will be some

play01:23

people here who are average people

play01:26

they'll be most of those people with the

play01:27

average amount of creativity there'll be

play01:29

a few people over here with a very high

play01:32

amount of creativity a few over you know

play01:34

with with less and in the past it's been

play01:38

these people over here that we've been

play01:40

relying on to come up with all the ideas

play01:43

those are supposed to be the pH DS and

play01:45

the MBAs and so forth and although you

play01:50

know I have graduate students and I

play01:52

sometimes really wonder whether those

play01:54

are the people in there but anyway you

play01:57

can see that I have a lot of creativity

play01:59

in this part of the curve that in the

play02:02

old system was not being used at all and

play02:05

this is it's an you notice this is even

play02:08

more dramatic if you think about the

play02:11

creativity needed to solve the problems

play02:13

that mess

play02:14

I mean we don't need some genius or

play02:19

other to find out how we can arrange to

play02:22

have the right screw for example in the

play02:25

in a certain workplace or to ensure that

play02:28

patients records are there when the

play02:30

patients there to see the doctor many

play02:33

problems that beset organizations are

play02:35

really basically very simple and the

play02:38

likely thing is that the distribution of

play02:41

the difficulty of problems or the

play02:44

creativity needed to solve problems is

play02:46

more like this there's a lot of very

play02:47

simple problems and there's a few more

play02:50

complicated problems so you can see that

play02:52

these people over here are perfectly

play02:53

capable of solving these problems and at

play02:56

the present moment they're not doing it

play02:58

because they don't have the chance to do

play03:04

it so the thing is every operating

play03:07

system supplies information on how it

play03:09

can be improved we talked about there

play03:11

we've talked about an opportunity to use

play03:14

creativity as a vital need for all

play03:16

humanity so if we put these things

play03:18

together we ought to be in great shape

play03:19

didn't we so why aren't we well the fact

play03:25

of the matter is that many people

play03:27

working in a system they have no

play03:30

expectation the system could be better

play03:32

no understanding of how to make it

play03:34

better and no power to change it and

play03:38

what we have to do is to release that

play03:41

potential and to do that we need a

play03:45

radically different management

play03:46

philosophy an appropriate organization

play03:49

to put that philosophy and effect and

play03:51

some simple tools the change in

play03:55

management philosophy is the most

play03:56

important of all and that's discussed in

play04:00

this famous book by W Edwards Deming out

play04:04

of the crisis among the things that

play04:07

Deming points out is that quality

play04:10

improvement is each individual person's

play04:12

responsibility you don't any longer say

play04:15

well there's a quality improvement

play04:17

department over there or the quality

play04:19

department there that people are

play04:20

supposed to look at well it is nothing

play04:21

to do with me that's a never made any

play04:25

sense and it

play04:26

make any sense now I'm not saying you

play04:28

should eliminate the quality Department

play04:30

you can have them training everybody

play04:32

else that's what they should be doing

play04:33

but it's everyone's responsibility the

play04:36

second thing is that each individual

play04:38

must be suitably empowered to undertake

play04:40

responsibilities you can't just tell

play04:43

them to do it and they've got to know

play04:44

that they can they can undertake to do

play04:47

it and how can that be arranged well a

play04:49

very interesting book about how I can

play04:52

arrange my work by having worker teams

play04:55

working with management with management

play04:58

sort of taking positions of a coach

play05:01

really in continuous quality improvement

play05:03

is this book a team handbook published

play05:07

by joiner associates and written by

play05:09

Peter scholtes and some other people at

play05:11

joiners an excellent book about teams

play05:15

the other thing of course is that that

play05:18

appropriate data have to be collected

play05:20

and discussed and the data is collected

play05:23

to discuss none of the means of

play05:24

apportioning blame but to provide

play05:27

material for team problem-solving

play05:29

meetings and input from persons closest

play05:33

to the system is encouraged you know

play05:36

people like nurses who work with the

play05:39

patients and those people are working on

play05:42

the actual machines they know a

play05:43

tremendous amount about what's going on

play05:46

and they drop very often feel frustrated

play05:49

they say things like well that's the

play05:51

system I can't do anything about it

play05:53

they're really saying you know there's a

play05:55

lot of things here that I could I know

play05:58

ways of improving I just can't do it so

play06:02

let's talk about some simple tools that

play06:04

people like that can use and there's a

play06:07

very interesting little book here which

play06:10

is guide to quality control by Ishikawa

play06:13

now Ishikawa was the grandfather really

play06:18

of these kinds of techniques using these

play06:21

kind of techniques in Japan and there he

play06:26

talks about in this book he talks about

play06:28

what he calls the seven tools which are

play06:30

the seven simple if you like graphical

play06:33

statistical

play06:36

simple things which can be used Pareto

play06:38

diagrams cause-effect diagrams check

play06:41

sheets histograms stratifications graphs

play06:44

and scatter plots now they sound like a

play06:47

lot of mysterious things but they're

play06:49

they're really very straightforward so

play06:52

let's CERN

play06:53

let me explain them in terms of a

play06:56

example suppose we're making Springs

play06:59

okay and we make perhaps 50,000 Springs

play07:03

in a week and the end of the week

play07:06

there's a heap over there 217 Springs

play07:09

that we throw out for some reason or

play07:11

other what are we going to do with those

play07:13

200 and that little heat there well

play07:15

we're going to throw it in the garbage

play07:16

aren't we well now that's not such a

play07:20

good idea because of that heap of 217

play07:23

Springs contains a lot of information

play07:25

and in fact the first thing we might do

play07:29

is to take the 217 Springs and get

play07:32

somebody go through them and say how

play07:34

many of them had cracks how many I'm did

play07:37

we throw out because they had cracks

play07:38

maybe that turns out there's perhaps 151

play07:43

of those how many of them because we had

play07:45

scratches there's perhaps all 55 of

play07:48

those 26 because they had pin holes 15

play07:52

got their dimensions wrong and so on

play07:54

and so now you've got what they call

play07:56

this is a idea due to Duran a Pareto

play08:00

diagram in which you can very clearly

play08:05

see that the the main cause of the

play08:08

problems seems to be on a very important

play08:11

cause anyways cracks not so much

play08:13

scratches or pinholes or dimensions and

play08:15

even though there's some big mouths over

play08:17

there that's saying yeah I know what the

play08:19

problem with this plant is I used to

play08:22

manage that plant it's always pinholes

play08:24

that's what causes all the problems you

play08:27

say that guy show me the data you work

play08:30

with data you don't work with prejudices

play08:33

okay so having got the fact that well

play08:36

cracks of the we're going to work on

play08:39

cracks let's say because that seems to

play08:42

be the important the most important

play08:44

thing then you can go to this cause

play08:46

effect diagram time I call it fish bone

play08:48

char

play08:49

for obvious reasons and what you do is

play08:51

you set up a blackboard gather all the

play08:54

guys around who were involved in making

play08:56

the stuff making the springs and say

play09:00

look we're getting too many cracks what

play09:02

do you think caused cracks well somebody

play09:05

says I think it's the inspection process

play09:07

I don't believe there are all that

play09:09

number of cracks

play09:10

I think the inspectors see cracks when

play09:12

there aren't any cracks and somebody

play09:13

else says yeah and I don't think those

play09:15

gauges really are accurate either that

play09:18

measure the cracks

play09:19

somebody says well I don't believe it's

play09:21

got much to do with without I think it's

play09:23

the assembly you know we don't have we

play09:27

there aren't any cracks when it leaves

play09:29

us it's when it gets to those guys who

play09:30

do the assembly that cracks appear in

play09:33

the spring and somebody else is saying

play09:36

no I don't think that's it either I

play09:38

believe that way back there where they

play09:40

do the hardening before it gets to us

play09:43

they don't control that oven temperature

play09:46

very well and the carbon content

play09:48

supposed to be kept very constant I

play09:50

don't believe it is and they're

play09:52

quenching all temperature to is

play09:53

something that's not kept as constant it

play09:55

should be somebody else is saying well

play09:59

you know I believe I've noticed that

play10:04

tight we we make two types of springs

play10:06

and I believe that type a you get more

play10:09

cracks with Taipei's springs into a type

play10:12

B now what's what's all this in aid of

play10:15

you saying it's an aid of people can be

play10:19

detectives where we are we trying to do

play10:21

is encourage people to be quality

play10:23

detectives to be trying to figure out

play10:26

all these kinds of things are useful in

play10:29

trying to figure out what's going on

play10:30

some of these will be eliminated because

play10:32

after there's been a discussion among

play10:34

these guys they'll say well you know it

play10:37

couldn't really be in the assembly

play10:38

because we check for scratch before it

play10:41

even goes to assembly so it's not those

play10:43

people and you know you can eliminate

play10:45

some other things you might want to see

play10:49

if we could get more data on some of

play10:52

these things like for example this thing

play10:54

about spring type and summer one useful

play10:58

way of getting more information about

play11:01

something is to make a histogram

play11:03

you can get someone to measure the size

play11:04

of the cracks for example and this is a

play11:09

histogram it's just a kind of a

play11:11

distribution that says there are this

play11:13

many cracks that hang on between one and

play11:15

one point five units in size there's

play11:18

this many cracks that are between one

play11:19

point five and two and so on and this

play11:21

gives a pretty good idea of you know how

play11:25

big the cracks are and what how what

play11:28

sort of spread their owing the the

play11:30

biggest crack and the smallest crack and

play11:32

things like that but that kind of

play11:34

diagram can be more valuable when we do

play11:37

what Escala calls stratify the thing in

play11:41

other words we split the histogram in

play11:44

some way we could them you can imagine

play11:45

if we knew who'd inspected what for

play11:48

example we could say well let's look at

play11:50

the springs that inspector a didn't and

play11:53

the size of the cracks that are supposed

play11:55

to be for inspected B and see if they've

play11:57

really measured those if it looks as if

play11:59

the measurement is different with those

play12:01

two different people or you can imagine

play12:03

going looking this idea this guy at

play12:06

about type A and type B Springs if you

play12:08

split that into two parts you might find

play12:12

that type a Springs look like that for

play12:16

the histogram and when you separated out

play12:19

tied these Springs they look like that

play12:20

so you can see now that when you split

play12:22

that histogram into to the table a

play12:25

Springs yes there are more type-a

play12:28

Springs there are type D spring and yes

play12:30

the cracks are bigger in these than

play12:32

those why is that well again it's the

play12:34

question of detection I mean you've got

play12:37

to you've got to get the somebody in

play12:40

there that knows about what the

play12:43

differences are between these two types

play12:44

of Springs somebody will say you know

play12:46

what the difference thing though to type

play12:48

Springs are they're made from different

play12:50

alloys or whatever it may be and this

play12:53

kind of thing is going to lead to

play12:56

figuring out what's causing it and

play13:00

another useful and simple tool it's just

play13:05

to plot one thing against another

play13:07

remember back there somebody was saying

play13:10

well the the temperature is is the is

play13:15

not

play13:16

constant in the in the hardening process

play13:20

so maybe we can get some information

play13:23

about how large the cracks are what

play13:27

temperature like going back over over

play13:30

the data and seeing how that temperature

play13:33

varied at different times what

play13:34

temperature was that made at and you can

play13:37

see that if you get a this kind of thing

play13:40

it's suggesting that as you go to hotter

play13:45

temperatures so you're getting larger

play13:47

crack sizes now this doesn't prove that

play13:51

a high temperature produces larger crack

play13:54

sizes I mean from a statisticians point

play13:57

of view you see a thing like this it

play13:59

says either this causes that or that

play14:01

causes this or they're both caused by

play14:03

something else but it does show you that

play14:05

something's going on something is there

play14:07

that has to be explained so these these

play14:10

tools of Ishikawa are very valuable

play14:13

tools and they can be used by everybody

play14:17

and they're not just in I've shown you

play14:20

an example where we're using them in in

play14:23

a pretty in a production process for

play14:25

Springs but actually these tools can

play14:27

also be used for example in in figuring

play14:31

out whether the drugs are being properly

play14:35

given to patients and in any number of

play14:39

different applications it's not Rican

play14:43

find to any particular kind of

play14:46

application so we're saying that every

play14:50

system generates information that can be

play14:53

used to improving that system is really

play14:55

like a radio tower radio tower generates

play14:58

electronic waves a system generates

play15:03

information that can tell us how to

play15:04

improve it but I go buy a radio tower

play15:07

every day when I Drive open the

play15:09

University and I don't hear a darn thing

play15:11

unless my radios are and these devices

play15:15

been talking about the Pareto diagram

play15:17

the fishbone chart the scatter plot and

play15:21

so forth those are just like radio

play15:23

receivers they're tuning in to

play15:26

that process which is generating

play15:29

information about and telling us how we

play15:31

can fix the system how we can improve it

play15:34

so what we're trying to do here then is

play15:36

to move from the idea the old idea was

play15:40

was the quality policeman someone stood

play15:43

at the door and said you know this batch

play15:46

can go out that's this batch can't go

play15:48

out and so on and what's quality

play15:50

inspection instead of that what we're

play15:53

working with here is quality detection

play15:55

you're trying all the time everybody is

play15:58

trying all the time to figure out the

play16:00

bugs in the process so everyone can help

play16:04

to improve the process they work on and

play16:06

when given tools and encouragement to do

play16:08

so will become help happier more

play16:10

productive well people say and that's

play16:14

all very well but does it work in this

play16:15

country

play16:16

well I remember my late colleague bill

play16:21

hunter was teaching a class a few years

play16:24

ago and we all went down to look at a

play16:27

factory which is just outside Chicago

play16:28

making television sets and when that

play16:33

factory was first taken over which was

play16:35

four or five years previous to that

play16:37

there have been a very very hard defect

play16:40

rate and actually they told us it was

play16:43

about 128 percent which sounds

play16:45

impossible with what it means is that as

play16:47

television sets come down the line every

play16:50

set is taken off at least once and some

play16:52

sets twice and they told us in those

play16:54

days when they got started it was just

play16:56

like a madhouse by continuous

play16:58

improvement not over a matter of four

play17:02

weeks not four months but four or five

play17:05

years they got that number down from 128

play17:10

percent to two percent so what are these

play17:13

people find an improved product and a

play17:16

process improved process and much

play17:19

improve morale I mean it's it feels

play17:23

pretty bad when all hell's breaking

play17:26

loose all around you

play17:28

managers have time to manage they told

play17:31

us that before the system was just like

play17:36

a madhouse that now they could you know

play17:39

occasionally they did

play17:40

better to pick something offline but

play17:42

that was a rare event and so they really

play17:45

had time to do what they were supposed

play17:47

to be doing instead of spending all

play17:48

their time putting out fires

play17:50

well white application of these simple

play17:53

tools achieves many successes but it

play17:56

also reveals tougher problems which need

play17:59

more sophisticated techniques you

play18:02

remember we started these to this tape

play18:04

by talking about informed observation

play18:06

and directed experimentation but so far

play18:09

we've only discussed informed

play18:11

observation in the rest of these tapes

play18:13

we'll show you a engineers and other

play18:15

scientists can use the concepts of

play18:17

statistical experimental design to plan

play18:20

new products that really go wrong and to

play18:22

improve existing products and processes

play18:24

and this is our third resource remember

play18:29

our resources were every operating

play18:31

system generates information it can be

play18:33

used to improve it the second was

play18:35

everyone has creativity and the third

play18:37

was designed experiments can greatly

play18:40

increase the efficiency of

play18:41

experimentation so now we've set the

play18:44

stage to discuss designed experiments in

play18:46

the rest of these tapes as you'll see

play18:49

statistically designed experiments can

play18:51

be used by engineers and scientists to

play18:53

aid them in their investigations and by

play18:56

increasing their efficiency this can

play18:59

greatly catalyze the catalyze their

play19:02

creativity and the rate of improvement

play19:04

of quality and productivity

play19:08

[Music]

Rate This

5.0 / 5 (0 votes)

الوسوم ذات الصلة
CREATIVIDADMEJORA CONTINUAGESTIÓNINNOVACIÓNPRODUCTIVIDADSOLUCIONESTALLERESCALIDADEQUIPOSDIAGNÓSTICO
هل تحتاج إلى تلخيص باللغة الإنجليزية؟