Testing and Inspection Using Acceptance Sampling Plans, 1st ed. 2019

This book introduces a number of new sampling plans, such as time truncated life tests, skip sampling plans, resubmitted plans, mixed sampling plans, sampling plans based on the process capability index and plans for big data, which can be used for testing and inspecting products, from the raw-materials stage to the final product, in every industry using statistical process control techniques. It also presents the statistical theory, methodology and applications of acceptance sampling from truncated life tests.

Further, it discusses the latest reliability, quality and risk analysis methods based on acceptance sampling from truncated life, which engineering and statisticians require in order to make decisions, and which are also useful for researchers in the areas of quality control, lifetime analysis, censored data analysis, goodness-of-fit and statistical software applications.

In its nine chapters, the book addresses a wide range of testing/inspection sampling schemes for discrete and continuous data collected in various production processes. It includes a chapter on sampling plans for big data and offers several illustrative examples of the procedures presented. Requiring a basic knowledge of probability distributions, inference and estimation, and lifetime and quality analysis, it is a valuable resource for graduate and senior undergraduate engineering students, and practicing engineers, more specifically it is useful for quality engineers, reliability engineers, consultants, black belts, master black belts, students and researchers interested in applying reliability and risk and quality methods.

Muhammad Aslam is Professor of Statistics at the King Abdulaziz University, Jeddah, Saudi Arabia. He has published more than 330 research papers in respected national and international journals, including IEEE Access, Journal of Applied Statistics, European Journal of Operation Research, Information Sciences, Journal of Process Control, Journal of the Operational Research Society, Applied Mathematical Modeling, International Journal of Advanced Manufacturing Technology, Communications in Statistics, and the Journal of Testing and Evaluation. He has received several awards, including a Meritorious Service award for research from the National College of Business Administration & Economics Lahore in 2011 and the 2012 Research Productivity Award from Pakistan Council for Science and Technology. He also received the King Abdulaziz University Excellence Award in Scientific Research in 2015. He was the top-ranking statistician in the Directory of Productivity Scientists of Pakistan in 2014. He is on the editorial boards of several statistical journals and has reviewed numerous papers for statistical journals. Dr. Aslam’s research interests include reliability, decision trees, industrial statistics, acceptance sampling, rank set sampling and applied statistics.