BS ISO 13053-2:2011
Current
The latest, up-to-date edition.
Quantitative methods in process improvement. Six Sigma Tools and techniques
Hardcopy , PDF
English
30-09-2011
Foreword
Introduction
1 Scope
2 Terms and definitions
3 Symbols and abbreviated terms
4 DMAIC process sequence
Annex A (informative) - Factsheets
Factsheet 01 - ROI, costs and accountability
Factsheet 02 - Affinity diagram
Factsheet 03 - Kano model
Factsheet 04 - CTQ tree diagram
Factsheet 05 - House of quality
Factsheet 06 - Benchmarking
Factsheet 07 - Project charter
Factsheet 08 - Gantt chart
Factsheet 09 - SIPOC
Factsheet 10 - Process mapping and process data
Factsheet 11 - Prioritization matrix
Factsheet 12 - Cause and effect diagram
Factsheet 13 - Brainstorming
Factsheet 14 - Failure mode and effects analysis (FMEA)
Factsheet 15 - Measurement system analysis (MSA)
Factsheet 16 - Data collection plan
Factsheet 17 - Determination of sample size
Factsheet 18 - Normality testing
Factsheet 19 - Descriptive statistics visualization tools
Factsheet 20 - Indicators
Factsheet 21 - Waste analysis
Factsheet 22 - Value stream analysis (VSM)
Factsheet 23 - Services delivery modelling
Factsheet 24 - Hypothesis testing
Factsheet 25 - Regression and correlation
Factsheet 26 - Design of experiments (DOE)
Factsheet 27 - Reliability
Factsheet 28 - RACI competencies matrix
Factsheet 29 - Monitoring/control plan
Factsheet 30 - Control charts
Factsheet 31 - Project review
Bibliography
Specifies the tools and techniques, illustrated by factsheets, to be used at each phase of the DMAIC approach.
Committee |
MS/6
|
DevelopmentNote |
Supersedes 10/30208983 DC. (09/2011)
|
DocumentType |
Standard
|
Pages |
60
|
PublisherName |
British Standards Institution
|
Status |
Current
|
Supersedes |
This part of ISO13053 describes the tools and techniques, illustrated by factsheets, to be used at each phase of the DMAIC approach.
The methodology set out in Part1 of ISO13053 is generic and remains independent of any individual industrial or economic sector. This makes the tools and techniques described in this part applicable to any sector of activity and any size business seeking to gain a competitive advantage.
Standards | Relationship |
ISO 13053-2:2011 | Identical |
AIAG FMEA : 2008 ERRATA 2011 | POTENTIAL FAILURE MODE & EFFECTS ANALYSIS |
ISO/TR 10017:2003 | Guidance on statistical techniques for ISO 9001:2000 |
ISO 2854:1976 | Statistical interpretation of data — Techniques of estimation and tests relating to means and variances |
ISO/TR 29901:2007 | Selected illustrations of full factorial experiments with four factors |
ISO/TR 12888:2011 | Selected illustrations of gauge repeatability and reproducibility studies |
ISO 7870-1:2014 | Control charts Part 1: General guidelines |
ISO/TS 16949:2009 | Quality management systems Particular requirements for the application of ISO 9001:2008 for automotive production and relevant service part organizations |
ISO 16269-4:2010 | Statistical interpretation of data Part 4: Detection and treatment of outliers |
BS EN 60812:2006 | Analysis techniques for system reliability. Procedure for failure mode and effects analysis (FMEA) |
ISO/TR 18532:2009 | Guidance on the application of statistical methods to quality and to industrial standardization |
ISO/IEC 19795-1:2006 | Information technology Biometric performance testing and reporting Part 1: Principles and framework |
ISO/TR 22514-4:2007 | Statistical methods in process management Capability and performance Part 4: Process capability estimates and performance measures |
ISO/TR 12845:2010 | Selected illustrations of fractional factorial screening experiments |
ISO 3534-2:2006 | Statistics — Vocabulary and symbols — Part 2: Applied statistics |
BS 600:2000 | A guide to the application of statistical methods to quality and standardization |
AIAG MSA : 2010 ERRATA | MEASUREMENT SYSTEMS ANALYSIS |
ISO 22514-3:2008 | Statistical methods in process management Capability and performance Part 3: Machine performance studies for measured data on discrete parts |
ISO 14001:2015 | Environmental management systems — Requirements with guidance for use |
ISO 9001:2015 | Quality management systems — Requirements |
ISO 3534-3:2013 | Statistics — Vocabulary and symbols — Part 3: Design of experiments |
ISO 5479:1997 | Statistical interpretation of data — Tests for departure from the normal distribution |
ISO 9000:2015 | Quality management systems — Fundamentals and vocabulary |
ISO/TR 13195:2015 | Selected illustrations of response surface method Central composite design |
ISO 3534-1:2006 | Statistics — Vocabulary and symbols — Part 1: General statistical terms and terms used in probability |
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