Solving Complex Industrial Problems Without Statistics
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Solving Complex Industrial Problems without Statistics
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.
Solving Complex Industrial Problems without Statistics
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.
Creative Environments
"Creative Environments" is a follow-up on the book Creative Space in the same series and by the same authors, serving this time as editors of a broader book on computational intelligence and knowledge engineering tools for supporting knowledge creation. This book contains four parts. The first part presents a further development of models of knowledge creation presented already in Creative Space, in particular the Triple Helix of normal academic knowledge creation and a new, integrated model of normal academic and organizational knowledge creation, called Nanatsudaki (seven waterfalls) Model. The second part presents computational intelligence tools for knowledge acquisition by machine learning and data mining, for debating, brainstorming, for roadmapping and for integrated support of academic creativity. The third part presents the use of statistics for creativity support, virtual laboratories, gaming and role playing for creativity support, methods of knowledge representation and multiple criteria aggregation, distance and electronic learning. The last part addresses knowledge management and philosophical issues and contains chapters: on management of technology and knowledge management for academic R and D; on knowledge management and creative holism or systems thinking in the knowledge age; on technology and change or the role of technology in knowledge civilisation; on the emergence of complex concepts in science; and the final chapter on summary and conclusions, including a proposal of an integrated episteme of constructive evolutionary objectivism, necessary for the knowledge civilization age.