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Статистическое управление процессами: Оптимизация бизнеса с использованием контрольных карт Шухарта
Статистическое управление процессами (SPC) — мощное орудие менеджмента, предназначенное для непрерывного мониторинга и диагностики любых бизнес-процессов. Если диагностика показывает, что процесс находится в статистически управляемом состоянии, то его улучшением должен заниматься менеджмент. Напротив, если процесс не стабилен, только сотрудники имеют шанс отыскать причину нестабильности и устранить ее. Успех многих компаний, в первую очередь Toyota, основан на эффективном использовании статистического управления процессами для повышения качества продукции.
Это первая книга на русском языке, в которой ясно, наглядно и профессионально изложены принципы и методы статистического управления процессами на основе контрольных карт, разработанных Уолтером Шухартом в Bell Laboratories, и показаны недостатки традиционного подхода к контролю качества, основанного только на соблюдении допусков.
Книга «Статистическое управление процессами» будет полезна как практикам, которым нужны простые рецепты оптимизации процессов, так и бизнес-консуль¬тантам, интересующимся процессным менеджментом.
Это первая книга на русском языке, в которой ясно, наглядно и профессионально изложены принципы и методы статистического управления процессами на основе контрольных карт, разработанных Уолтером Шухартом в Bell Laboratories, и показаны недостатки традиционного подхода к контролю качества, основанного только на соблюдении допусков.
Книга «Статистическое управление процессами» будет полезна как практикам, которым нужны простые рецепты оптимизации процессов, так и бизнес-консуль¬тантам, интересующимся процессным менеджментом.
- GenresBusinessManagement
409 pages, Hardcover
First published January 1, 1986
10 people are currently reading
198 people want to read
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Displaying 1 - 8 of 8 reviews
December 8, 2008
I believe this is the book
Which offered manual calculation of control charts
It was the equivalent of celestial navigation
which I had just finished
thinking I would sail the world
only to find out
my wife got easily seasick
No sooner was the class out
than I began speculating
that our Excel spreadsheets
could do this much easier
and within a week
I'd proved it
and within another month
the whole TQM movement
at my level in the corporation
had collapsed for want of executives
who could put up with it
Which offered manual calculation of control charts
It was the equivalent of celestial navigation
which I had just finished
thinking I would sail the world
only to find out
my wife got easily seasick
No sooner was the class out
than I began speculating
that our Excel spreadsheets
could do this much easier
and within a week
I'd proved it
and within another month
the whole TQM movement
at my level in the corporation
had collapsed for want of executives
who could put up with it
March 21, 2024
Well, this book kind of is the be all and end all of understanding statistical process control!
The early chapters guide you through the rationale of why control charts are necessary and how to use them. Later in the book the chapters shift to more detailed ways to monitor and control processes.
If one is working in a production environment where regulation and control and stability are important this book will be really useful. If one wants an overview of how to understand and measure data then the first half of the book will be enough.
I assume this text book was to accompany a course or program of study. At the end of each chapter there are a series of exercises. I quite enjoyed working through the exercises (relatively) long hand. Right now, I can get Excel to do most of this book much quicker but I found the practice of working through the mathematics long-hand helped me appreciate nuance I hadn't noticed before.
Sadly, the book goes from explaining things in a basic high school way to graduate level mathematics in the space of a couple of chapters. If your algebra is rusty the book doesn't really help you and in some cases is downright confusing. Along with the gendered language (this was written in the 80's) it's clear who it's audience is and is not.
Still, despite my criticisms I think the book has broadened my knowledge and the learning in it I use regularly at work. This book helps the reader understand 'is my process in control', 'should I change it', and 'how will I know if a change has occurred.' Whilst I struggled towards the end, I won't ever need to measure a production line to this degree but I think the learning is relevant for anyone involved in managing, monitoring or improving a process of any description.
The early chapters guide you through the rationale of why control charts are necessary and how to use them. Later in the book the chapters shift to more detailed ways to monitor and control processes.
If one is working in a production environment where regulation and control and stability are important this book will be really useful. If one wants an overview of how to understand and measure data then the first half of the book will be enough.
I assume this text book was to accompany a course or program of study. At the end of each chapter there are a series of exercises. I quite enjoyed working through the exercises (relatively) long hand. Right now, I can get Excel to do most of this book much quicker but I found the practice of working through the mathematics long-hand helped me appreciate nuance I hadn't noticed before.
Sadly, the book goes from explaining things in a basic high school way to graduate level mathematics in the space of a couple of chapters. If your algebra is rusty the book doesn't really help you and in some cases is downright confusing. Along with the gendered language (this was written in the 80's) it's clear who it's audience is and is not.
Still, despite my criticisms I think the book has broadened my knowledge and the learning in it I use regularly at work. This book helps the reader understand 'is my process in control', 'should I change it', and 'how will I know if a change has occurred.' Whilst I struggled towards the end, I won't ever need to measure a production line to this degree but I think the learning is relevant for anyone involved in managing, monitoring or improving a process of any description.
Want to read
January 21, 2021TS156.8 .W47 2010
February 23, 2010
Final year course on Process control and Industrial automation
Currently reading
October 9, 2012Brief and to the point. Good use of illustrations.
January 26, 2015
Excellent book to explain process control
May 20, 2016
This was the most accessible presentation of SPC I've ever seen.
Displaying 1 - 8 of 8 reviews