Mastering Statistical Process Control 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Mastering Statistical Process Control

简体网页||繁体网页
Stapenhurst, Tim 作者
Butterworth-Heinemann
译者
2005-5 出版日期
456 页数
567.00元 价格
Pap
丛书系列
9780750665292 图书编码

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发表于2024-11-29


Mastering Statistical Process Control 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Mastering Statistical Process Control 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Mastering Statistical Process Control 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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"Mastering Statistical Process Control" shows how to understand business or process performance more clearly and more effectively. This practical book is based on a rich and varied selection of case studies from across industry and commerce, including material from the manufacturing, extractive and service sectors. It will enable readers to understand how SPC can be used to maximum effect, and will deliver more effective monitoring, control and improvement in systems, processes and management. The common obstacle to successful use of SPC is getting bogged down with control charts, forgetting that visual representation of data is but a tool and not an end in itself. "Mastering SPC" demonstrates how statistical tools are applied and used in reality. This is a book that will open up the power of SPC for many: managers, quality professionals, engineers and analysts, as well as students, will welcome the clarity and explanation that it brings to understanding the use and benefit of SPC in a wide range of engineering, production and service situations. Key case studies include using SPC to: measure quality and human factors; monitor process performance accurately over long periods; develop best-practice benchmarks using control charts; maximise profitability of fixed assets; and improve customer service and satisfaction. It shows how your business, process and profitability can benefit from process management and control. SPC is widely used and widely misunderstood. This is the only book to take an applications based approach to SPC. It is ideal for managers, process engineers and quality personnel in both manufacturing and service sectors, as well as students of management, statistics, operations research, MBAs and Six Sigma candidates.

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