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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.
Overview of First Principles Industrial Problem Solving
Introduction
First Principles Problem-Solving – Why First Principles?
Opportunity Identification/Definition – Initial Team Formation
Hypothesis Testing
Scenario Development
Project Management
Value of Project
Team Management and Roles
Stakeholder Identification,Analysis, and Communication Plan
Generating, Selecting, and Implementing Solutions to the Problem
Sustaining the Gains and Control Plans
Project Wrap-up
Examples
The Big World of Problems
Corrosion Problems
Mechanical Issues
Color
Problem-Solving Tools
Emphasis Is on Speed, Low Cost, Productivity, and Right Answer
Literature
Scientific Method
Process Data Analysis
First Principles Modeling
Analytical
Engineering Disciplines Examples
Six Sigma, LEAN, and Continuous Improvement
Theory of Constraints
Visual Presentation
Appendix. Scientific Method Practice Levels