Quality engineering techniques an innovative and creative process model

"This book provides instructions to enhance productivity and sustainability by using Quality Engineering Techniques (QET) in statistical and non-statistical projects. It presents an integrated format for better management of traditional processes in industrial factories"--

Detalles Bibliográficos
Otros Autores: Rostamkhani, Ramin, author (author), Karbasian, Mahdi, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton : CRC Press 2020.
Edición:First edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009714838006719
Tabla de Contenidos:
  • Cover
  • Half Title
  • Title Page
  • Copyright Page
  • Table of Contents
  • Preface
  • About the Authors
  • Chapter 1 A Review of the Basic Concepts
  • 1.1 Introduction
  • 1.2 The History of Research in QET
  • 1.2.1 The History of Research in Statistical Techniques
  • 1.2.1.1 Descriptive Statistics
  • 1.2.1.2 Design and Analysis of Experiments
  • 1.2.1.3 Statistical Hypothesis Tests
  • 1.2.1.4 Process Capability Analysis
  • 1.2.1.5 Regression Analysis
  • 1.2.1.6 Reliability Analysis
  • 1.2.1.7 Sampling
  • 1.2.1.8 Simulation
  • 1.2.1.9 Statistical Process Control Charts
  • 1.2.1.10 Statistical Tolerances
  • 1.2.1.11 Time Series Analysis
  • 1.2.2 The History of Research in Non-Statistical Techniques
  • 1.3 The History of Research in the Key Concepts of Continuous Improvement
  • 1.3.1 The History of Research in Productivity for Industrial Products Manufacturing
  • 1.3.2 The History of Research in Sustainability for Industrial Products Manufacturing
  • 1.3.3 The History of Research in Added Values for Industrial Products Manufacturing
  • 1.4 A Summary of the Research History
  • 1.4.1 Innovation and Creativity in This Research: A Description
  • Exercises
  • Chapter 2 Applied Methodology
  • 2.1 Introduction
  • 2.2 Research Limitations
  • 2.3 Statistical Population of the Research
  • 2.4 Data Collection Tools and Methods
  • 2.5 Data Collection Validity
  • 2.6 Data Collection Reliability
  • 2.7 Information Analysis Method
  • Exercise
  • Chapter 3 Proposed Model in Triple Organizational Processes
  • 3.1 Introduction
  • 3.2 Identification and Determination of Three Types of Processes in Industrial Factories
  • 3.3 Identification and Determination of the Desired QET in Main Processes
  • 3.3.1 A Numerical Application of QET in the Determined Scope for Main Processes
  • 3.4 Identification and Determination of the Desired QET in Leadership Processes
  • 3.4.1 Numerical Application of QET in the Determined Scope for Leadership Processes
  • 3.5 Identification and Determination of the Desired QET in Support Processes
  • 3.5.1 Numerical Application of QET in the Determined Scope for Support Processes
  • 3.5.1.1 Exponential Distribution Function
  • 3.5.1.2 Ultra Exponential Distribution Function
  • 3.5.1.3 Gamma Distribution Function
  • 3.5.1.4 Weibull Distribution Function
  • 3.5.1.5 Normal Distribution Function
  • 3.5.1.6 Log-Normal Distribution Function
  • Exercises
  • Chapter 4 Results of Implementing the Model
  • 4.1 Introduction
  • 4.2 Z-MR Control Charts for Describing the Impacts of Different Units on Productivity and Sustainability
  • 4.3 Total Score Calculation of Productivity and Sustainability before and after Implementing QET
  • 4.4 Demonstration of the Growth in Added Values for Industrial Products Manufacturing
  • 4.5 Generalizing the Assessment Results of the Model to Other Organizations