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Module 2 Total Quality Management

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Title: Module 2 Total Quality Management


1
Module 2 - Total Quality Management
2
Course Framework
  • 1. Cost
  • - Design Selection
  • 2. Quality
  • - TQM
  • - SQC
  • 3. Speed
  • - Project Management
  • - Supply Chain
  • 4. Flexibility
  • - Supply Chain
  • - Inventory
  • - Location
  • - Forecasting
  • - Aggregate Planning

3
Learning Objectives
  • Explain the meaning of TQM
  • Identify ways of improving quality
  • Identify tools used for solving quality problems
  • Understand why TQM projects fail

4
What is TQM?
  • Meeting quality expectations as defined by the
    customer
  • Integrated organizational effort designed to
    improve quality of processes at every business
    level

5
TQM Philosophy Whats Different?
  • Focus on Customer
  • Identify and meet customer needs
  • Continuous Improvement
  • Continuous learning and problem solving
  • Quality at the Source
  • Inspection vs. prevention problem solving
  • Employee Empowerment
  • Empower employees and customers

6
TQM Philosophy (continued)
  • Understanding Quality Tools
  • Ongoing training on analysis, assessment, and
    correction, implementation tools
  • Team Approach
  • Teams formed around processes 8 to 10 people
  • Meet weekly to analyze and solve problems
  • Benchmarking
  • Studying practices at best in class companies

7
Dimensions of Quality
  • Quality of design
  • Features to include in the final design
  • Quality of conformance to design
  • Production processes to meet design
    specifications
  • Ease of use
  • Instructions, operation, maintenance, safety
  • Post-sale service
  • Responsiveness, rapid repair, p.m., spare parts

8
Quality Gurus
  • W. Edwards Deming
  • Phillip Crosby
  • Joseph M. Juran

9
Deming Natural variability
  • All process are subject to variability
  • Natural causes
  • Assignable causes
  • Objective Identify assignable causes

10
Crosby Importance of Quality
11
Juran Cost of Quality
  • Prevention costs
  • Preparing implementing a quality plan
  • Appraisal costs
  • Testing, evaluating inspecting quality
  • Internal failure costs
  • Defects incurred within system
  • External failure costs
  • Defects that escape system

12
COQ Relationship
13
Ways of Improving Quality
  • Plan-Do-Study-Act Cycle (PDSA)
  • Also called the Deming Wheel after originator
  • Circular, never ending problem solving process
  • Quality Function Deployment
  • Used to translate customer preferences to design
  • Seven Tools of Quality Control
  • Tools typically taught to problem solving teams

14
PDSA Details
  • Plan
  • Evaluate current process
  • Collect procedures, data, identify problems
  • Develop an improvement plan, performance
    objectives
  • Do
  • Implement the plan trial basis
  • Study
  • Collect data and evaluate against objectives
  • Act
  • Communicate the results from trial
  • If successful, implement new process

15
PDSA (continued)
  • Cycle is repeated
  • After act phase, start planning and repeat process

16
QFD Details
  • Process used to ensure that the product meets
    customer specifications

Voice of the engineer
Customer-based benchmarks
Voice of the customer
17
QFD - House of Quality
  • Adding trade-offs, targets developing product
    specifications

Trade-offs
Technical Benchmarks
Targets
18
Seven Problem Solving Tools
  • Flowcharts
  • Checklists
  • Scatter Diagrams
  • Cause-and-Effect Diagrams
  • Histograms
  • Pareto Analysis
  • Control Charts

19
Flowcharts
  • Used to document the detailed steps in a process
  • Often the first step in operations analysis

20
Checklist
  • Simple data check-off sheet designed to identify
    type of quality problems at each work station
    per shift, per machine, per operator

21
Scatter Diagrams
  • A graph that shows how two variables are related
    to one another
  • Data can be used in a regression analysis to
    establish equation for the relationship

22
Cause-and-Effect Diagrams
  • Called Fishbone Diagram
  • Focused on solving identified quality problem

23
Histograms
  • A chart that shows the frequency distribution of
    observed values of a variable like service time
    at a bank drive-up window

24
Pareto Analysis
  • Technique that displays the degree of importance
    for each element
  • Quality problems are the result of only a few
    problems e.g. 80 of the problems caused by 20
    of causes

25
Control Charts
  • Important tool used in Statistical Process
    Control
  • The UCL and LCL are calculated limits used to
    show when process is in or out of control

26
Why TQM Efforts Fail
  • Lack of a genuine quality culture
  • Lack of top management support and commitment
  • Over- and under-reliance on SPC methods
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