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Statistical and Managerial Techniques for Six Sigma Methodology Theory and Application

ISBN-10: 0470711833

ISBN-13: 9780470711835

Edition: 2012

Authors: Stefano Barone, Eva Lo Franco

List price: $61.95
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Description:

Statistical and Managerial Techniques for Six Sigma Methodology examines the methodology through illustrating the most widespread tool and techniques involved in Six Sigma application. Both managerial and statistical aspects of Six Sigma will be analyzed, allowing the reader to apply these tools in the field. This book offers an insight on variation and risk management, and focuses on the structure and organizational aspects of the Six Sigma projects. It covers six sigma methodology, basic managerial techniques, basic statistical techniques, methods for variation and risk management and advanced statistical techniques. Clear and practical examples and demonstrations are included throughout the book. Packed with clear examples and case studies to illustrate the concepts and methodologies used in Six Sigma. Looks at both managerial and statistical aspects of Six Sigma, covering both basic and more advanced statistical techniques. Provides a chapter featuring case studies, equipping readers with the tools and techniques to apply methodology to real situations. Suitable for adoption in all courses for Six Sigma Green Belt and Black Belt Features a supporting website containing datasetsWell suited for Master level students in engineering and quality management, as well as MBA. Quality Managers, Consultants, and public and private companies implementing Six Sigma will also benefit greatly from the book.
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Book details

List price: $61.95
Copyright year: 2012
Publisher: John Wiley & Sons, Limited
Publication date: 2/23/2012
Binding: Hardcover
Pages: 396
Size: 6.50" wide x 9.50" long x 0.75" tall
Weight: 1.650
Language: English

Preface
About the Authors
Six Sigma methodology
Management by process
The concept of 'process'
Managing by process
The process performance triangle
Customer satisfaction
The success of enterprise
Innovation and Six Sigma
Meanings and origins of Six Sigma
Variation in products and processes
Meaning of 'Six Sigma'
Six Sigma process
Origins of Six Sigma
Six Sigma: Some definitions
Six Sigma projects
Why implement Six Sigma projects?
Six Sigma paths
The DMARIC path
Human resources and training
References
Basic managerial techniques
For brainstorming
Cause-effect diagram
Affinity diagram (KJ analysis)
To manage the project
Work breakdown structure
Gantt chart
To describe and understand the processes
The SIPOC scheme
The flow chart
The ServQual model
To direct the improvement
The Kano model
References
Basic statistical techniques
To explore data
Fundamental concepts and phases of the exploratory data analysis
Empirical frequency distribution of a numerical variable
Analysis by stratification
Other graphical representations
To define and calculate the uncertainty
Definitions of probability
Events and probabilities in the Venn diagram
Probability calculation rules
Dispositions, permutations and combinations
To model the random variability
Definition of random variable
Probability distribution function
Probability mass function for discrete random variables
Probability density function for continuous variables
Mean and variance of a random variable
Principal models of random variables
To draw conclusions from observed data
The inferential process
Sampling and samples
Adopting a probability distribution model by graphical analysis of the sample (probability plot)
Point estimation of the parameters of a Gaussian population
Interval estimation
Hypothesis testing
References
Advanced managerial techniques
To describe processes
IDEFO
To manage a project
Project evaluation and review technique
Critical path method
To analyse faults
Failure mode and effect analysis
Fault tree analysis
To make decisions
Analytic hierarchy process
Response latency model
Quality function deployment
References
Advanced statistical techniques
To study the relationships between variables
Linear regression analysis
Logistic regression models
Introduction to multivariate statistics
To monitor and keep processes under control
Process capability
Online process control and main control charts
Offline process control
To improve products, services and production processes
Robustness thinking
Variation mode and effect analysis
Systemic robust design
Design of experiments
Four case studies of robustness thinking
To assess the measurement system
Some definitions about measurement systems
Measurement system analysis
Lack of stability and drift of measurement system
Preparation of a gauge R&R study
Gauge R&R illustrative example
References
Six Sigma methodology in action: Selected Black Belt projects in Swedish organisations
Resource planning improvement at SAAB Microwave Systems
Presentation of SAAB Microwave Systems
Project background
Define phase
Measure phase
Analyse phase
Improve phase (ideas and intentions)
Control phase (ideas and intentions)
Improving capacity planning of available beds: A case study for the medical wards at Sahlgrenska and �stra Hospitals
Presentation of Sahlgrenska and �stra Hospitals
Project background
Define phase
Measure phase
Analyse phase
Improve phase (ideas and intentions)
Control phase (ideas and intentions)
Controlling variation in play in mast production process at ATLET
Presentation of Atlet AB
Project background
Define phase
Measure phase
Analyse phase
Improve phase (ideas and intentions)
Control phase (ideas and intentions)
Optimising the recognition and treatment of unexpectedly worsening in-patients at K�rnsjiukhuset, Skaraborg Hospital
Presentation of Skaraborg Hospital
Project background
Define phase
Measure phase
Analyse phase (ideas and intentions)
Improve phase (ideas and intentions)
Control phase (ideas and intentions)
Optimal scheduling for higher efficiency and minimal losses in warehouse at Structo Hydraulics AB
Presentation of Structo Hydraulics AB
Project background
Define phase
Measure phase
Analyse phase
Improve phase (planning)
Control phase (planning)
Reducing welding defect rate for a critical component of an aircraft engine
Presentation of Volvo Aero Corporation
Project background
Define phase
Measure phase
Analyse phase
Improve phase (ideas and intentions)
Control phase (ideas and intentions)
Attacking a problem of low capability in final machining for an aircraft engine component at VAC - Volvo Aero Corporation
Presentation of Volvo Aero Corporation
Project background
Define phase
Measure phase
Analyse phase
Improve phase (ideas and intentions)
Index