Creating a universal language for problem solving, The Practical Application of the Process Capability Study: Evolving from Product Control to Process Control delineates the process capability study, a powerful tool that, when understood and implemented, provides benefits to every department within a manufacturing organization. With easy to read, step-by-step flow diagrams on how to perform process capability studies and measurement process analyses, the book’s coverage includes: The benefits of statistical process control over statistical product control Real-world industrial examples and case studies illustrating how to use the techniques Ways for management to determine if the investment in process capability studies is providing an appropriate return Methods to correct lack of stability and capability once either condition has been identified, such as the ANOVA technique and the simple three-factor designed experiment A flow chart that enables machine operators to execute a process capability study without interfering with productivity A great deal of information is available on the technical concepts of the process capability study, much of it emphasizing the mathematics. Unfortunately, concentrating on the math and fine distinctions, such as the difference between alpha- and beta-type errors, has created barriers preventing many from fully appreciating the basic concepts, the simplicity, and the usefulness of the tool. This book shows you how to use the process capability study to increase return on investment from your statistical process control/Six Sigma effort and make your company more competitive.
Addressing the beliefs and attitudes that can be detrimental to your organization’s competitiveness, Popular Manufacturing Myths: Eliminating Widely Held Beliefs That Reduce Competitiveness offers time-tested insight into the most common myths encountered in manufacturing environments. It classifies these myths into management myths, shop floor myths, and if appropriate, shared management and shop floor myths. Explaining the reasons why these deeply ingrained beliefs exist, the book outlines remedies that can help to quickly dispel them within your organization. It presents case studies that examine these myths and includes numerous real-world examples that outline simple, yet effective, solutions. Some of the myths dispelled in this book include: Increasing line speed always decreases quality and creates more scrap Reducing the cost of raw materials will decrease the cost of manufacturing Increased inspection will boost quality If it is successful in R&D, it will be successful in production Process problems can only be solved by changing one process parameter at a time Covering the basics of data collection tools, techniques, and analysis, the text offers simple methods to structure your data to assist in communicating clear and logical conclusions across the organization. The author keeps the arithmetic and statistics to a minimum, so readers only require a basic understanding of averaging and normal variation. However, for those who wish to understand a little bit more about a particular concept, technique, tool, or procedure, the book includes an addendum chapter with more detailed explanations and sample calculations.
Addressing the beliefs and attitudes that can be detrimental to your organization’s competitiveness, Popular Manufacturing Myths: Eliminating Widely Held Beliefs That Reduce Competitiveness offers time-tested insight into the most common myths encountered in manufacturing environments. It classifies these myths into management myths, shop floor myths, and if appropriate, shared management and shop floor myths. Explaining the reasons why these deeply ingrained beliefs exist, the book outlines remedies that can help to quickly dispel them within your organization. It presents case studies that examine these myths and includes numerous real-world examples that outline simple, yet effective, solutions. Some of the myths dispelled in this book include: Increasing line speed always decreases quality and creates more scrap Reducing the cost of raw materials will decrease the cost of manufacturing Increased inspection will boost quality If it is successful in R&D, it will be successful in production Process problems can only be solved by changing one process parameter at a time Covering the basics of data collection tools, techniques, and analysis, the text offers simple methods to structure your data to assist in communicating clear and logical conclusions across the organization. The author keeps the arithmetic and statistics to a minimum, so readers only require a basic understanding of averaging and normal variation. However, for those who wish to understand a little bit more about a particular concept, technique, tool, or procedure, the book includes an addendum chapter with more detailed explanations and sample calculations.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.