Solution Manual for Introduction to Statistical Quality Control

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.