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.
Table of Contents
Cursory Review. Assembly Problem. Faulty Thinking. Mixing Problem. Component Assembly. Assigning Responsibility. Damaged Components. New Process Development. Innovative Solutions. Electronic Chip Wafer. Machining Difficulties. Systemic Chaos. Sequestration Problem. Corroboration of Results. Summary. Appendix. Contains definitions.
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.