Statistical quality control: a modern introduction

By:

Montgomery, Douglas C

Material type: Text

TextPublication details: Wiley India Pvt. Ltd. New Delhi 2009Description: xiv, 734 pISBN:

9788126525065

Subject(s):

Process control--Statistical methods

DDC classification:

658.5 MON

Summary: Covering everything from basic principles to state-of-the-art concepts and applications, this book arms readers with a comprehensive understanding of modern statistical methods for quality control and improvement. The author covers basic and advanced methods of statistical process control (SPC), show how statistically designed experiments can be used for process design, development and improvement, and explore acceptance sampling. Throughout the pages, guidelines are provided for selecting the correct statistical technique to use in a variety of situations. (https://www.wileyindia.com/statistical-quality-control-a-modern-introduction-6ed.html)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	658.5 MON (Browse shelf(Opens below))	1	Available		006974

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Previous	658.5 MAS Marketing- and logistics-led organizations: creating and operating customer-focused supply networks	658.5 MCM Service operations management: a strategic perspective	658.5 MON Toyota production system: an integrated approach to just-in-time	658.5 MON Statistical quality control: a modern introduction	658.5 MOR Manufacturing mastery:	658.5 MUK Elephants and Cheetahs: the beauty of operations	658.5 MUK Operation management and productivity techniques	Next

Table of content:
Part I: Introduction

· Chapter 1: Quality Improvement in the Modern Business Environment

· Chapter 2: The DMAIC Process

Part II: Statistical Methods Useful in Quality Control and Improvement

· Chapter 3: Modeling Process Quality

· Chapter 4: Inferences about Process Quality

Part III: Basic Methods of Statistical Process Control and Capability Analysis

· Chapter 5: Methods and Philosophy of Statistical Process Control

· Chapter 6: Control Charts for Variables

· Chapter 7: Control Charts for Attributes

· Chapter 8: Process and Measurement System Capability Analysis

Part IV: Other Statistical Process-Monitoring and Control Techniques

· Chapter 9: Cumulative Sum and Exponentially Weighted Moving Average Control Charts

· Chapter 10: Other Univariate Statistical Process Monitoring and Control Techniques

· Chapter 11: Multivariate Process Monitoring and Control

· Chapter 12: Engineering Process Control and SPC

Part V: Process Design and Improvement with Designed Experiments

· Chapter 13: Factorial and Fractional Experiments for Process Design and Improvements

· Chapter 14: Process Optimization and Designed Experiments

Part VI: Acceptance Sampling

· Chapter 15: Lot-by-Lot Acceptance Sampling for Attributes

· Chapter 16: Other Acceptance Sampling Techniques

Appendix
[https://www.wileyindia.com/statistical-quality-control-a-modern-introduction-6ed.html]

Covering everything from basic principles to state-of-the-art concepts and applications, this book arms readers with a comprehensive understanding of modern statistical methods for quality control and improvement. The author covers basic and advanced methods of statistical process control (SPC), show how statistically designed experiments can be used for process design, development and improvement, and explore acceptance sampling. Throughout the pages, guidelines are provided for selecting the correct statistical technique to use in a variety of situations.
(https://www.wileyindia.com/statistical-quality-control-a-modern-introduction-6ed.html)

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