Dieser Titel erfüllt die Forderung nach einem soliden Lehrbuch zur statistischen Qualitätssicherung: Ein praxisorientierter, kohärenter Text zu Statistik und Qualitätssicherung, der Kenntnisse der technischen Statistik voraussetzt. Dieses Buch zeichnet sich inbesondere aus durch seine benutzerfreundliche Einführung in statistische Hilfsmittel und Verfahren sowie durch die schwerpunktmäßige Behandlung von prozeßorientierten und produktorientierten Methoden. Beispiele und Problemlösungen basieren auf echten Projekten, Fällen und Datensätzen und sind damit für den Lernenden nachvollziehbar. Die einzelnen Themen werden entsprechend ihrer Relevanz in der Qualitätssicherung behandelt; der statistische Teil umfaßt verstärkt Graphiken und Schätzung, die für Studenten von praktischer Bedeutung sind. (01/98)
The Tools You Need To Be A Successful Engineer As you read through this new text, you'll discover the importance of Statistical Quality Control (SQC) tools in engineering process monitoring and improvement. You'll learn what SQC methods can and cannot do, and why these are valuable additions to your engineering tool kit. And instead of overwhelming you with unnecessary details, the authors make the implementation of statistical tools "user-friendly." The rich set of examples and problems integrated throughout this book will help you gain a better understanding of where and how to apply SQC tools. Real projects, cases and data sets show you clearly how SQC tools are used in practice. Topics are covered in the right amount of detail to give you insight into their relative importance in modern quality assurance and the ability to immediately use them. This approach provides the mix of tools you'll need to succeed in your engineering career. Key Features of the Text
* Provides a coherent presentation of the role of statistics in quality assurance.
* Places special attention on making sure that while the technical details are absolutely correct, they do not overwhelm the reader.
* Presents the material in realistic contexts, with examples and problems that are based on real-world projects, cases and data sets.
* The implementation of statistical tools is user-friendly.
* The statistical treatment emphasizes graphics and estimation (and de-emphasizes hypothesis testing).
Simple Quality Assurance Tools.
Process Monitoring Part 1: Basics.
Process Monitoring Part 2: Additional Methods.
Process Characterization and Capability Analysis.
Experimental Design and Analysis for Process Improvement Part 1: Basics.
Experimental Design and Analysis for Process Improvement Part 2: Advanced Topics.
Sampling Inspection.
The TQM Environment.
The Tools You Need To Be A Successful Engineer As you read through this new text, you'll discover the importance of Statistical Quality Control (SQC) tools in engineering process monitoring and improvement. You'll learn what SQC methods can and cannot do, and why these are valuable additions to your engineering tool kit. And instead of overwhelming you with unnecessary details, the authors make the implementation of statistical tools "user-friendly." The rich set of examples and problems integrated throughout this book will help you gain a better understanding of where and how to apply SQC tools. Real projects, cases and data sets show you clearly how SQC tools are used in practice. Topics are covered in the right amount of detail to give you insight into their relative importance in modern quality assurance and the ability to immediately use them. This approach provides the mix of tools you'll need to succeed in your engineering career. Key Features of the Text
* Provides a coherent presentation of the role of statistics in quality assurance.
* Places special attention on making sure that while the technical details are absolutely correct, they do not overwhelm the reader.
* Presents the material in realistic contexts, with examples and problems that are based on real-world projects, cases and data sets.
* The implementation of statistical tools is user-friendly.
* The statistical treatment emphasizes graphics and estimation (and de-emphasizes hypothesis testing).
Simple Quality Assurance Tools.
Process Monitoring Part 1: Basics.
Process Monitoring Part 2: Additional Methods.
Process Characterization and Capability Analysis.
Experimental Design and Analysis for Process Improvement Part 1: Basics.
Experimental Design and Analysis for Process Improvement Part 2: Advanced Topics.
Sampling Inspection.
The TQM Environment.