8th Edition
Douglas C. Montgomery
Solution Manual
Once
solely the domain of engineers, quality control has become a vital
business operation used to increase productivity and secure
competitive advantage. Introduction to Statistical Quality Control
offers a detailed presentation of the modern statistical methods for
quality control and improvement. Thorough coverage of statistical
process control (SPC) demonstrates the efficacy of
statistically-oriented experiments in the context of process
characterization, optimization, and acceptance sampling, while
examination of the implementation process provides context to
real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure,
Analyze, Improve and Control) provides a strategic problem-solving
framework that can be applied across a variety of disciplines.
Adopting
a balanced approach to traditional and modern methods, this text
includes coverage of SQC techniques in both industrial and
non-manufacturing settings, providing fundamental knowledge to
students of engineering, statistics, business, and management
sciences. A strong pedagogical toolset, including multiple practice
problems, real-world data sets and examples, and incorporation of
Minitab statistics software, provides students with a solid base of
conceptual and practical knowledge.
