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Author: David M. Jacobson Publisher: John Wiley & Sons ISBN: 1119543193 Category : Technology & Engineering Languages : en Pages : 412
Book Description
Teaches Readers How to Apply a Structured Problem-Solving Methodology for Industrial Fields Based on Sound Scientific Principles As modern industrial processes have become increasingly complex, complicated multi-factor problems have emerged. These complex problems end up costing companies millions of dollars every day. Existing problem-solving techniques are only effective to a certain point. This book provides a solution to a myriad of industrial problems by using first principles and rigorous hypothesis testing. Key topics covered within the work include: How to use the latest research, advanced modeling, big data mining, analytical testing, and many other techniques to systematically create and test hypotheses surrounding why a process is malfunctioning How to use scenario development to frame a team’s understanding of why a process is malfunctioning How to approach today’s lack of experienced industrial workers, whose failure to approach problem solving from first fundamentals are causing myriad of inefficiencies in industry How to use multiple methodologies together with an emphasis on first principles and mechanistic math modeling as a basis to industrial problem solving Engineers of any discipline working in both research and development of manufacturing environments, along with professionals in any industrial discipline looking to reduce costs will be able to use this work to both understand and pragmatically solve the pressing issues we see in today’s industrial market.
Author: David M. Jacobson Publisher: John Wiley & Sons ISBN: 1119543193 Category : Technology & Engineering Languages : en Pages : 412
Book Description
Teaches Readers How to Apply a Structured Problem-Solving Methodology for Industrial Fields Based on Sound Scientific Principles As modern industrial processes have become increasingly complex, complicated multi-factor problems have emerged. These complex problems end up costing companies millions of dollars every day. Existing problem-solving techniques are only effective to a certain point. This book provides a solution to a myriad of industrial problems by using first principles and rigorous hypothesis testing. Key topics covered within the work include: How to use the latest research, advanced modeling, big data mining, analytical testing, and many other techniques to systematically create and test hypotheses surrounding why a process is malfunctioning How to use scenario development to frame a team’s understanding of why a process is malfunctioning How to approach today’s lack of experienced industrial workers, whose failure to approach problem solving from first fundamentals are causing myriad of inefficiencies in industry How to use multiple methodologies together with an emphasis on first principles and mechanistic math modeling as a basis to industrial problem solving Engineers of any discipline working in both research and development of manufacturing environments, along with professionals in any industrial discipline looking to reduce costs will be able to use this work to both understand and pragmatically solve the pressing issues we see in today’s industrial market.
Author: Zdravko I. Stefanov Publisher: John Wiley & Sons ISBN: 1119543185 Category : Technology & Engineering Languages : en Pages : 412
Book Description
Teaches Readers How to Apply a Structured Problem-Solving Methodology for Industrial Fields Based on Sound Scientific Principles As modern industrial processes have become increasingly complex, complicated multi-factor problems have emerged. These complex problems end up costing companies millions of dollars every day. Existing problem-solving techniques are only effective to a certain point. This book provides a solution to a myriad of industrial problems by using first principles and rigorous hypothesis testing. Key topics covered within the work include: How to use the latest research, advanced modeling, big data mining, analytical testing, and many other techniques to systematically create and test hypotheses surrounding why a process is malfunctioning How to use scenario development to frame a team’s understanding of why a process is malfunctioning How to approach today’s lack of experienced industrial workers, whose failure to approach problem solving from first fundamentals are causing myriad of inefficiencies in industry How to use multiple methodologies together with an emphasis on first principles and mechanistic math modeling as a basis to industrial problem solving Engineers of any discipline working in both research and development of manufacturing environments, along with professionals in any industrial discipline looking to reduce costs will be able to use this work to both understand and pragmatically solve the pressing issues we see in today’s industrial market.
Author: Joseph M. Bonem Publisher: John Wiley & Sons ISBN: 0470169281 Category : Technology & Engineering Languages : en Pages : 296
Book Description
Avoid wasting time and money on recurring plant process problems by applying the practical, five-step solution in Process Engineering Problem Solving: Avoiding "The Problem Went Away, but it Came Back" Syndrome. Combine cause and effect problem solving with the formulation of theoretically correct working hypotheses and find a structural and pragmatic way to solve real-world issues that tend to be chronic or that require an engineering analysis. Utilize the fundamentals of chemical engineering to develop technically correct working hypotheses that are key to successful problem solving.
Author: Steven Mickelson Publisher: McGraw-Hill Education ISBN: 9780073385914 Category : Technology & Engineering Languages : en Pages : 0
Book Description
Engineering Fundamentals & Problem Solving presents a complete introduction into the engineering field and remains the most comprehensive textbook for an introductory engineering course. This text will help students develop the skills needed to solve open-ended problems in SI and customary units while presenting solutions in a logical manner. Students are introduced to subject areas, common to engineering disciplines, that require the application of fundamental engineering concepts. Engineering Fundamentals & Problem Solving provides students a realistic opportunity to learn to apply engineering principles to the solution of engineering problems. Furthermore, the author's approach keeps students on task toward an engineering career by showing how the materials apply to the student's school, life, and career. McGraw-Hill's Connect, is also available as an optional, add on item. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, how they need it, so that class time is more effective. Connect allows the professor to assign homework, quizzes, and tests easily and automatically grades and records the scores of the student's work. Problems are randomized to prevent sharing of answers an may also have a "multi-step solution" which helps move the students' learning along if they experience difficulty.
Author: Ralph R. Pawlak Publisher: CRC Press ISBN: 1498759092 Category : Technology & Engineering Languages : en Pages : 166
Book Description
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.
Author: David M. Jacobson
Author: David M. Jacobson
Author: Zdravko I. Stefanov
Author: 
Author: Joseph M. Bonem
Author: Arvid Eide
Author: Steven Mickelson
Author: Arvid R. Eide
Author: Ralph R. Pawlak
Author: 
Author: Arvid R. Eide