Process Control Techniques for High-Volume Production

by M. Kemal Atesmen

Overview

This book details most common statistical process control tools with many examples for high-volume production. It aims to make elements of high-volume production process control simple and easy to understand. It lets you thoroughly understand process controls instead of blindly trusting software tools that operate as black boxes. If you are dealing with high-volume production as an operator, line supervisor, inspector, process engineer, quality engineer, manufacturing manager, plant manager, or president of the company, you have to understand the statistical process control basics explained in this book in order to be successful.

Product Details

ISBN-13:	9781032477244
Publisher:	CRC Press
Publication date:	01/21/2023
Pages:	170
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

M. Kemal Atesmen completed his high school studies at Robert Academy in Istanbul Turkey in 1961. He received his B. Sc. degree from Case Western Reserve University, his M. Sc. degree from Stanford University, and his Ph. D. degree from Colorado State University, all in mechanical engineering. He is a life member of ASME. He initially pursued an academic and an industrial career in parallel and became an associate professor in mechanical engineering before dedicating his professional life to international engineering project management and engineering management for thirty-three years. He helped many young engineers in the international arena to bridge the gap between college and professional life in automotive, computer component, data communication, and offshore oil industries.He published five books, sixteen technical papers, and has four patents. His books are "Global Engineering Project Management", CRC Press, 2008, "Everyday Heat Transfer Problems – Sensitivities to Governing Variables", ASME Press, 2009, "Understanding the World Around through Simple Mathematics", Infinity Publishing, 2011, "A Journey Through Life, Wilson Printing, 2013, and "Project Management Case Studies and Lessons Learned: Stakeholder, Scope, Knowledge, Schedule, Resource and Team Management", CRC Press, 2014.

Table of Contents

Product Specifications, Critical Parameters and Measurement Standards. Short Term Gage Capability Evaluation for Variables. Long Term Gage Capability Evaluation for Variables. Gage Capability for Attribute Data. Normal Distribution. Process Control for Variables - X ̅ and R Charts. Process Control for Variables - X ̅ and S Charts. Process Control for Attributes - P, NP, C and U Charts. Correlation between Two Gages. Process Capability.