Skip to content
Please enter a keyword to search

  • ISO 13053-2:2011

    Current The latest, up-to-date edition.

    Quantitative methods in process improvement — Six Sigma — Part 2: Tools and techniques

    Available format(s):  Hardcopy, PDF, PDF 3 Users, PDF 5 Users, PDF 9 Users

    Language(s):  French, English

    Published date:  17-08-2011

    Publisher:  International Organization for Standardization

    Add To Cart

    Abstract - (Show below) - (Hide below)

    ISO 13053-2:2011 describes the tools and techniques, illustrated by factsheets, to be used at each phase of the DMAIC approach.

    The methodology set out in ISO 13053-1 is generic and remains independent of any individual industrial or economic sector. This makes the tools and techniques described in ISO 13053-2:2011 applicable to any sector of activity and any size business seeking to gain a competitive advantage.

    General Product Information - (Show below) - (Hide below)

    Development Note Supersedes ISO/DIS 13053-2. (08/2011)
    Document Type Standard
    Publisher International Organization for Standardization
    Status Current

    Standards Referenced By This Book - (Show below) - (Hide below)

    BS ISO 22400-2 : 2014 AUTOMATION SYSTEMS AND INTEGRATION - KEY PERFORMANCE INDICATORS (KPIS) FOR MANUFACTURING OPERATIONS MANAGEMENT - PART 2: DEFINITIONS AND DESCRIPTIONS
    UNE-ISO 13053-1:2012 Quantitative methods in process improvement -- Six Sigma -- Part 1: DMAIC methodology
    14/30274526 DC : 0 BS ISO 18404 - QUANTITATIVE METHODS IN PROCESS IMPROVEMENT - SIX SIGMA - COMPETENCIES FOR KEY PERSONNEL AND THEIR ORGANISATION IN RELATION TO SIX SIGMA AND LEAN IMPLEMENTATION
    ISO 17258:2015 Statistical methods Six Sigma Basic criteria underlying benchmarking for Six Sigma in organisations
    UNE-ISO 17258:2017 Statistical methods -- Six Sigma -- Basic criteria underlying benchmarking for Six Sigma in organizations
    BIS IS 16123-1 : 2013 QUANTITATIVE METHODS IN PROCESS IMPROVEMENT - SIX SIGMA - PART 1: THE DMAIC METHODOLOGY
    BS ISO 17258:2015 Statistical methods. Six Sigma. Basic criteria underlying benchmarking for Six Sigma in organisations
    NF ISO 13053-1 : 2011 QUANTITATIVE METHODS IN PROCESS IMPROVEMENT - SIX SIGMA - PART 1: DMAIC METHODOLOGY
    UNE-ISO 18404:2017 Quantitative methods in process improvement -- Six Sigma -- Competencies for key personnel and their organizations in relation to Six Sigma and Lean implementation
    UNI ISO 13053-1 : 2014 QUANTITATIVE METHODS IN PROCESS IMPROVEMENT - SIX SIGMA - PART 1: DMAIC METHODOLOGY
    BS ISO 18404:2015 Quantitative methods in process improvement. Six Sigma. Competencies for key personnel and their organizations in relation to Six Sigma and Lean implementation
    13/30248599 DC : 0 BS ISO 17258 - STATISTICAL METHODS - SIX SIGMA - BENCHMARKING FOR SIX SIGMA
    ISO 22400-2:2014 Automation systems and integration — Key performance indicators (KPIs) for manufacturing operations management — Part 2: Definitions and descriptions
    ISO 13053-1:2011 Quantitative methods in process improvement Six Sigma Part 1: DMAIC methodology
    BS ISO 13053-1:2011 Quantitative methods in process improvement. Six Sigma DMAIC methodology
    ISO 18404:2015 Quantitative methods in process improvement — Six Sigma — Competencies for key personnel and their organizations in relation to Six Sigma and Lean implementation

    Standards Referencing This Book - (Show below) - (Hide below)

    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
    View more information

    • Access your standards online with a subscription

      Features

      • Simple online access to standards, technical information and regulations
      • Critical updates of standards and customisable alerts and notifications
      • Multi - user online standards collection: secure, flexibile and cost effective