Chap 8.2 Manage Quality

PMBOK 6 - All rights reserved 2019, By: Anand Bobade (nmbobade@gmail.com)
PMP
Trainer: Anand BobadePMBOK 6th Edition, 2019, All rights reserved.
Chapter 8 –
Project Quality Management
Manage Quality
SIXTH EDITION

8.2 Manage Quality
Overview
Manage Quality definition
Manage Quality ITTO
Quality Audits
Design of experiment's
Quality improvement methods
Review

Quality Management processes
Plan Quality
management
Manage Quality Control QualityP MCE

Manage Quality -> Overview
Manage quality includes all the quality assurance activities.
Manage quality is concerned with product design and process
improvements
Build confidence about delivery of future deliverables
Improve efficiency & effectiveness of processes and activities. .
Quality
Management Plan

The process of translating the QMP into executable quality activities
that incorporate the organization’s quality policies into the project.
It increases the probability of meeting quality objectives as well
as identifying ineffective processes and causes of poor quality.
Manage Quality Definition

Manage
Quality is
Work of
everybody
Project
Manager
Project team
Project
sponsor
Management
of performing
org.
Customer
Manage Quality -> Responsibilities
In traditional Projects, quality management is done by specific team
members, however in agile it is responsibility of everyone

Manage Quality -> ITTO
Data Gathering
Data analysis
Decision Making
Data Representation
Audits
Design for X (DfX)
Problem solving
Quality improvement
methods
Project Management
Plan
Project Documents
Organizational Process
Assets
Quality reports
Test & evaluation
documents
Change requests
PMP updates
Project document
updates
Inputs Tools & Techniques Outputs

Manage Quality -> Input
Project Management
Plan
Project Documents
Organizational
Process Assets

Project
Management Plan
Quality management plan:
• Describes how organizations quality policies will be
implemented.
Manage Quality -> Input -> PMP
Acceptable level of project and product
quality
How to achieve planned quality in the
deliverables and processes
How to deal with nonconforming products

Project Documents
• It will tells what we need to measure and what are
the allowable variation for our measurements.
Quality
Metrics:
• Documented results of control quality activities
• Evaluate effectiveness of quality assurance
Quality control
measurements
Lessons learned
Register
Quality Metrics
Quality control
measurements
Risk Report
Manage Quality -> Input -> Project Documents
Following Project Documents can be used as input:

Organizational
Process Assets
Manage Quality -> Input -> OPA
Policies, processes &
Procedures
Templates
Lessons learned
Register
Following OPA may be input to this process:

Manage Quality -> Tools & Techniques
Data Gathering Data analysis Decision Making
Data
Representation
Audits Design for X (DfX) Problem solving
Quality improvement
methods

Data Gathering
Manage Quality -> T&T-> Data Gathering
Standardized, industry specific
Acceptance criteria
WBS- lowest level of work packages
Quality Checklist
• They are used to verify if a set of required steps have been
performed, or to see if a list of requirements has been satisfied.

Data analysis
Manage Quality -> T&T -> Data analysis
Following Data analysis techniques will be used:
Alternative
analysis
Document
analysis
Process analysis
Root cause
analysis

Data
Representation
Manage Quality -> T&T-> Data Representation
Affinity diagrams
Cause & effect
diagrams
Flowcharts
Histograms Matrix diagrams Scatter diagrams
Following Data Representation techniques will be used:

Manage Quality -> T&T-> Data Representation -> Affinity Diagram:
Affinity Diagram:
•Classifying large number of ideas into groups.
•Organize potential causes of defects into groups showing areas to be focused
Data
Representation

Manage Quality -> T&T-> Data Representation -> C&E Diagrams
Contributing
causes
Major
causes
Problem to
be solved
Cause-and-Effect diagram(Fishbone or Ishikawa):
• It breaks down the potential causes of the problem statement into
discrete branches. Helps to find root cause of a problem.
Data
Representation
5 whys technique: Repeat question “Why” 5 times

Manage Quality -> T&T-> Data Representation -> C&E Diagrams
Use to
Identify problem.
Work out major
factors involved.
Identify possible
causes.
Cause-and-Effect diagram(Fishbone or Ishikawa):
• It traces complaints about quality problems.
• Help you find the root cause of a problem.
Data
Representation
At the end, entire diagram is analysed & possible causes are identified.

Flowcharts (or process maps):
• Take outputs from one process, & use them as inputs in another
process, which then takes tools & techniques to create new outputs,
used in other processes.
Manage Quality->T&T-> Data Representation-> Flowcharts
Used in:
Quality planning
Estimate cost of quality
Process communication
Analyse quality problem
• Suppliers, Inputs, Process, Outputs, CustomersSIPOC:
Data Representation

Histograms (by Karl Pearson): - Special types of bar charts.
• These are graphical representations of numerical data.
• Each bar represents characteristic of a problem & Height represents
its frequency.
Manage Quality -> T&T-> Data Representation -> Histograms
Data Representation
0 0 0 0 0 0 2 1 2 1
6
9
14
4
7
1
5
0 0 0 0
0
2
4
6
8
10
12
14
16
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100
No.ofStudents
Percentage
Bar -
characteristic
of a problem
Height ->
frequency
distribution of
data

Matrix Diagram:
• It shows relationship between factors, causes, and objectives.
• It provides a compact way of representing many-to-many
relationships of varying strength.
List 1 List 2
Item1 Item A
Item2 Item B
Item3 Item C
Item4 Item D
Item5 Item E
ItemA
ItemB
ItemC
ItemD
ItemE
Item1 O
Item2 O O
Item3 O O O
Item4 O
Item5 O
Manage Quality ->T&T-> Data Representation-> Matrix Diagram
Data Representation

Manage Quality ->T&T-> Data Representation->Scatter Diagram
Show if there is a relationship
between two variables.
Usually first variable is
independent & second is
dependent on first.
Useful when one variable is easy to
measure & other is not.
Scatter Diagram(scatter plot/ graph, correlation chart):
• Predict how change in an independent variable will change a
dependent variable.
Data Representation

dependent variable.
Data Representation
Regression line
No
Correlation
Three Types of
correlation:
No Correlation
Moderate
Correlation
Strong
Correlation

dependent variable.
Data Representation
Accidents
Moderate
-Positive
Strong -
Positive
Speed of vehicle
140 to 160 KM/Hour
Speed of vehicle
160 to 180 KM/Hour

dependent variable.
Moderate -
Negative
Strong -
Negative
Reducing project profit Reducing project profit
CostofProjectresources
If resource cost is one of the factor then correlation will be moderate, however if this is only
factor then correlation will be strong.
Data Representation

Audits
It is a structured, independent process used to determine, if project activities
comply with organizational and project policies, processes, and procedures.
Identify best practices being implemented
Identify all nonconformity, gaps, and shortcomings
Share good practices
help the team raise productivity
It can confirm implementation of Approved changes, including
Updates Corrective actions Preventive action Defect repairs
Manage Quality ->T&T-> Audits
Quality
audit will
look for:

Design for X
Set of technical guidelines applied during the design of a product
Optimizes specific aspect of design such as
Reliability Deployment Assembly
Cost Safety Quality
Using DfX may result in:
Cost reduction
Quality
improvement
Better
performance
and Customer
satisfaction
Manage Quality -> T&T -> Design for X (DfX)

Problem solving
Problem solving is about finding solutions for issues/challenges.
Defining the problem
Identifying the root
cause
Generating possible
solutions
Choosing the best
solution
Implementing the
solution, and
Verifying the solution
effectiveness
Manage Quality -> T&T-> Problem solving
Problem may arise :
Control quality
process
Quality Audits
process or
deliverables

Quality
improvement
methods
Manage Quality -> T&T-> Quality improvement methods
can be based on recommendations from quality control processes or they can
be uncovered during Manage Quality process.
Six Sigma PDCA Cycle

Manage Quality -> Output
Quality reports
Test & evaluation
documents
Change requests
PMP updates
Project document
updates

Quality reports Quality management issues
Recommendations for improvements
(preventive actions)
Recommendations for corrective actions
Summary of findings from the Control Quality
process.
Manage Quality -> Output ->Quality reports
Quality reports is used by the project team in order to take corrective actions
Information
may includes

Test & evaluation
documents
They are inputs to Control quality process
Used to evaluate the achievement of quality objectives
They may include:
Checklists
Requirements traceability
matrices
Manage Quality -> Output -> Test & evaluation documents

Change requests
There may be recommendations for changes to the following:
Project management
plan
Project documents
Project or product
management processes
Manage Quality -> Output ->Change requests

PMP updates
Following PMP subsidiary plans & baselines may get updated
Manage Quality -> Output -> PMP updates
Quality
Management plan
Scope baseline Schedule baseline
Cost baseline

Project document
updates
Issue log
Lessons Learned
Register
Risk Register
Manage Quality -> Output -> Project document updates
Following Project Documents may get updated:

Manage Quality -> Review
Overview
Manage Quality definition
Manage Quality ITTO
Quality Audits
Design of experiment's
Quality improvement methods

The happiness of your life depends upon the
quality of your thoughts.
Marcus Aurelius
Kids playing Holi, India

Chap 8.2 Manage Quality

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to Chap 8.2 Manage Quality

Similar to Chap 8.2 Manage Quality (20)

More from Anand Bobade

More from Anand Bobade (10)

Recently uploaded

Recently uploaded (17)

Chap 8.2 Manage Quality