Industrial Statistics

Beschreibung

HELPS YOU FULLY LEVERAGE STATISTICAL METHODS TO IMPROVEINDUSTRIAL PERFORMANCE Industrial Statistics guides you through ten practicalstatistical methods that have broad applications in many differentindustries for enhancing research, product design, process design,validation, manufacturing, and continuous improvement. As youprogress through the book, you'll discover some valuable methodsthat are currently underutilized in industry as well as othermethods that are often not used correctly. With twenty-five years of teaching and consulting experience,author Anand Joglekar has helped a diverse group of companiesreduce costs, accelerate product development, and improveoperations through the effective implementation of statisticalmethods. Based on his experience working with both clients andstudents, Dr. Joglekar focuses on real-world problem-solving. Foreach statistical method, the book: * Presents the most important underlying concepts clearly andsuccinctly * Minimizes mathematical details that can be delegated to acomputer * Illustrates applications with numerous practical examples * Offers a "Questions to Ask" section at the end of each chapterto assist you with implementation The last chapter consists of 100 practical questions followed bytheir answers. If you're already familiar with statistical methods,you may want to take the test first to determine which methods tofocus on. By helping readers fully leverage statistical methods to improveindustrial performance, this book becomes an ideal reference andself-study guide for scientists, engineers, managers and othertechnical professionals across a wide range of industries. Inaddition, its clear explanations and examples make it highly suitedas a textbook for undergraduate and graduate courses instatistics.

Autor*in

Anand M. Joglekar

Themen in »Industrial Statistics«

Chemie Chemistry Industrial Engineering Industrial Engineering / Quality Control Industrie Industrielle Verfahrenstechnik Qualität, Produktivität u. Zuverlässigkeit Qualitätssicherung Qualitätssicherung i. d. Industriellen Verfahrenstechnik Qualitätssicherung in der Chemie Quality Assurance Quality, Productivity & Reliability Statistics Statistik

Stimmen zu »Industrial Statistics«

"This is one of the few statistic books that is "user friendly" andenjoyable to read. That is because each chapter is clearly andconcisely written. But what really makes this book more valuablethan others of this type are the very practical applications andthe memorable "stories". These are human-interest stories thatillustrate how time and money is saved when statistics is usedproperly and how large sums can be wasted when used improperly,such as the t-test example that is provided.... This book couldsave an industrial department considerable time and money. It wouldhelp readers design experiments more effectively and efficiently,solve problems and make difficult decisions based on limited data.Those with a very limited budget can learn how to design theirexperiments to maximize the information and correlations. Theactual problems that it will help readers solve are limitless, butinclude finding the best formulation; conducting a proper design ofexperiments, so that resources are efficiently used; using data tosolve a problem to determine why a product is suddenly out ofspecification; what are the best process conditions to optimizeyield without sacrificing quality, etc. The book ends with usefulquestions and answers that assist in testing the reader's knowledgeand finding which parts of the book require his or herfocus." --Lothar W. Kleiner, Ph.D.
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