Description

Book Synopsis

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 probl

    Table of Contents

    1. Introduction 6

    2. First Principles Problem Solving – why first principles? 15

    3. Opportunity identification/definition – initial team formation 35

    4. Hypothesis testing 46

    5. Scenario development 56

    6. Value of project 57

    7. Team management and roles 61

    8. Stakeholder Identification, Analysis, and Communication plan 94

    9. Generating, Selecting, and Implementing Solutions to the Problem 151

    10. Sustaining the Gains and Control plans 190

    11. Project Wrap-up 221

    12. The big world of problems 224

    13. Corrosion problems 236

    14. Mechanical issues 239

    15. Color 247

    16. Emphasis is on speed, low cost, productivity and right answer 256

    17. Literature 258

    18. Scientific Method 263

    19. Process Data Analysis 265

    20. First Principles Modeling 283

    21. Analytical 296

    22. Engineering disciplines examples 309

    23. Six Sigma, LEAN and Continuous Improvement 315

    24. Theory of Constraints 326

    25. Visual presentation 339

    Appendix

    1. Scientific Method Practice Levels 346

Fundamentals of Industrial Problem Solving

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    A Hardback by Zdravko I. Stefanov, Eldad Herceg, Carla Schmidt

    £108.90

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      Book details

      Publisher John Wiley & Sons Inc
      Published 25 August 2022
      ISBN-13 9781119543183
      978-1119543183
      ISBN-10 1119543185

      Description

      Book Synopsis

      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 probl

        Table of Contents

        1. Introduction 6

        2. First Principles Problem Solving – why first principles? 15

        3. Opportunity identification/definition – initial team formation 35

        4. Hypothesis testing 46

        5. Scenario development 56

        6. Value of project 57

        7. Team management and roles 61

        8. Stakeholder Identification, Analysis, and Communication plan 94

        9. Generating, Selecting, and Implementing Solutions to the Problem 151

        10. Sustaining the Gains and Control plans 190

        11. Project Wrap-up 221

        12. The big world of problems 224

        13. Corrosion problems 236

        14. Mechanical issues 239

        15. Color 247

        16. Emphasis is on speed, low cost, productivity and right answer 256

        17. Literature 258

        18. Scientific Method 263

        19. Process Data Analysis 265

        20. First Principles Modeling 283

        21. Analytical 296

        22. Engineering disciplines examples 309

        23. Six Sigma, LEAN and Continuous Improvement 315

        24. Theory of Constraints 326

        25. Visual presentation 339

        Appendix

        1. Scientific Method Practice Levels 346

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