Titlebook: Introduction to Quality and Reliability Engineering; Renyan Jiang Book 2015 Science Press, Beijing and Springer-Verlag Berlin Heidelberg 2

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Statistical Process ControlStatistical process control (SPC) is a tool to achieve process stability and improve process capability through reducing the variability of quality characteristics. There are many SPC methods and tools. We focus on control chart methods in this chapter. Typical control charts for both variable and a

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Quality Control at Outputts and assembly errors. These variations lead to a relatively high early failure rate. Quality control at output mainly deals with quality inspections and screening tests of components and final products so as to uncover and reduce defective items before they are released for sale. The inspected pro

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Reliability Modeling of Repairable Systemsdentically distributed. The model for modeling a given failure process depends on whether the inter-failure times have a trend and whether they are independent and identically distributed. This involves tests for trend and randomness. This chapter presents typical models for modeling failure processes and typical tests for trend and randomness.

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Design Techniques for Reliability design stage include specification of reliability requirements, reliability analysis, reliability prediction, reliability allocation, and reliability improvement. This chapter addresses these issues and reliability control and monitoring in manufacturing and use phases are also briefly discussed.

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Product Quality Variations and Control Strategiesality characteristics and their effect on product quality and reliability, then analyze the reliability of production systems, and outline quality control and improvement strategies with focus on quality control by optimization. Finally, we briefly introduce principles and strategies of quality management as well as ISO quality management system.

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Book 2015liability models, life data analysis and modeling, design for reliability as well as accelerated life testing and reliability growth analysis, while topics in quality include design for quality, acceptance sampling and supplier selection, statistical process control, production tests such as environ