Description

Book Synopsis

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

Trade Review

"This concise book contains a wealth of practical information a manufacturing engineer will find useful in solving every-day quality problems. The ample supply of case studies covering a wide range of topics is particularly appealing. The book is clearly written, logically organized and well presented. The author has excellent credentials as a practitioner."
—Duc Pham, University of Birmingham, UK



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.

Solving Complex Industrial Problems without

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    £80.74

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    RRP £84.99 – you save £4.25 (5%)

    Order before 4pm tomorrow for delivery by Sat 4 Jul 2026.

    A Hardback by Ralph R. Pawlak

    1 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Solving Complex Industrial Problems without by Ralph R. Pawlak

      Publisher: Taylor & Francis Inc
      Publication Date: 24/05/2016
      ISBN13: 9781498759083, 978-1498759083
      ISBN10: 1498759084

      Description

      Book Synopsis

      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

      Trade Review

      "This concise book contains a wealth of practical information a manufacturing engineer will find useful in solving every-day quality problems. The ample supply of case studies covering a wide range of topics is particularly appealing. The book is clearly written, logically organized and well presented. The author has excellent credentials as a practitioner."
      —Duc Pham, University of Birmingham, UK



      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.

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