Solving Complex Industrial Problems without Statistics

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Ralph R. Pawlak (Retired - General Motors, Fisher-Price, and Vibratech, Williamsville, New York, USA)

Solving Complex Industrial Problems without Statistics

Ralph R. Pawlak (Retired - General Motors, Fisher-Price, and Vibratech, Williamsville, New York, USA)

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English

CRC Press
31 March 2021

Management decision making; Engineering: general; Industrial quality control

Presenting: Problem Solving Sans Statistics

Enhance your problem-solving skills, and improve your company’s profitability using the methods outlined in Solving Complex Industrial Problems without Statistics. Introducing a process that involves working through problems and solutions without relying on complicated statistical design or analysis, this book pulls away from data-driven thinking and provides the problem solver with a new way of solving problems.

Utilizing techniques that have been applied in facilities throughout the U.S., Canada, Italy, China, and Hong Kong, it demonstrates the use of process and problem differences and similarities, and provides a better understanding of analogous comparisons. The book incorporates visual analysis tools and problem examples in a format that facilitates comprehension and learning, presents novel concepts that do not require numbers or statistics, and provides a better understanding of the solution system/process overall.

Each chapter presents new information, as well as case studies that include:

Different problem situations

Short histories detailing the operation, condition, and circumstances that were present at the time of each study

Photographs, sketches, or tables with simple explanations to describe the circumstances, conditions, and the actions taken

Methods of solution in rudimentary form

Chapter summaries to review important mechanisms and workings

Final summaries to tie together the important methods and techniques that facilitate easy problem solutions

Solving Complex Industrial Problems without Statistics provides valuable insight into the solution of complex quality and manufacturing problems, without the use of statistics, and is essential to anyone involved in quality, control, problem-solving activities, or total quality management.

By: Ralph R. Pawlak (Retired - General Motors Fisher-Price and Vibratech Williamsville New York USA)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 308g
ISBN: 9780367782931
ISBN 10: 0367782936
Pages: 143
Publication Date: 31 March 2021
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Ralph R. Pawlak is a graduate of Erie Community College, General Motors Institute, and The State University of New York, Buffalo. He earned an associate of applied science in industrial technology, a bachelor of science in industrial engineering, and a master of education, respectively, from these institutions. During his extensive career with General Motors, he served in several positions at various facilities in Tonawanda, New York; Danville, Illinois; and Romulus, Michigan. He also engineered start-up operations for Fisher-Price in China and Italy. Toward the end of his career, he returned to General Motors as a contract employee who was used as a consultant to suppliers.

Reviews for Solving Complex Industrial Problems without Statistics

This concise book contains a wealth of practical information a manufacturing engineer will find useful in solving every-day quality problems. The ample supply of case studies covering a wide range of topics is particularly appealing. The book is clearly written, logically organized and well presented. The author has excellent credentials as a practitioner. -Duc Pham, University of Birmingham, UK