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Statistical Quality Control, 7th Edition by Douglas C. Montgomery

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5 Methods and Philosophy of Statistical Process Control

CHAPTER OUTLINE

5.1   INTRODUCTION

5.2   CHANCE AND ASSIGNABLE CAUSES OF QUALITY VARIATION

5.3   STATISTICAL BASIS OF THE CONTROL CHART

5.3.1   Basic Principles

5.3.2   Choice of Control Limits

5.3.3   Sample Size and Sampling Frequency

5.3.4   Rational Subgroups

5.3.5   Analysis of Patterns on Control Charts

5.3.6   Discussion of Sensitizing Rules for Control Charts

5.3.7   Phase I and Phase II Control Chart Application

5.4   THE REST OF THE MAGNIFICENT SEVEN

5.5   IMPLEMENTING SPC IN A QUALITY IMPROVEMENT PROGRAM

5.6   AN APPLICATION OF SPC

5.7   APPLICATIONS OF STATISTICAL PROCESS CONTROL AND QUALITY IMPROVEMENT TOOLS IN TRANSACTIONAL AND SERVICE BUSINESSES

Supplemental Material for Chapter 5

S5.1 A SIMPLE ALTERNATIVE TO RUNS RULES ON THE images CHART

The supplemental material is on the textbook Website www.wiley.com/college/montgomery.

CHAPTER OVERVIEW AND LEARNING OBJECTIVES

This chapter has three objectives. The first is to present the basic statistical process control (SPC) problem-solving tools, called the magnificent seven, and to illustrate how these tools form a cohesive, practical framework for quality improvement. These tools form an important basic approach to both reducing variability and monitoring the performance of a process, and are widely used in both the Analyze and Control steps of DMAIC. The second objective ...

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