1. Quality Management Processes Plan Quality Management Perform Quality Assurance Control Quality

2. Plan Quality Management – Identifying all relevant organizational or industry practices, quality requirements and/or standards for the project, the product of the project and its deliverables – Demonstrate how the product will demonstrate compliance with the quality – It provides guidance and direction on how quality will be managed and validated throughout the product life cycle – Quality planning should be performed in parallel with other planning activities – Standardization can come from within the organization or government or from professional organization

3. The United Nations Convention on Contracts for International Sale of Goods (CISG) ISO 9000 Occupational Safety and Health Administration (OSHA) Project Manager must plan the project so it meets the customer’s quality standards (outlines in agreement or discovered in collect requirements process) which help in controlling project, request changes, corrective and preventive action Acceptable number of software bugs per module Strength of concrete Average installation time Quality must be balanced with other project constraints The project scope statement, WBS, WBS Dictionary help the project manager maintain the proper perspective and plan quality to the appropriate level.

4. Plan Quality Management - Inputs Organizational Process Assets Enterprise Environmental Factors Stakeholders’ Register Requirements Documentation Risk Register Project Management Plan – Schedule Baseline – Cost Baseline – Scope Baseline Project Scope Statement WBS WBS Dictionary

5. Plan Quality Management - Outputs Addition or changes to the Project Management Plan Project Documents update

6. Plan Quality Management-Tools and Techniques Cost-Benefit Analysis Cost of Quality Seven Basic Quality Tools Bench Marking Design of Experiment Statistical Sampling Additional Quality Planning Tools – Brainstorming – Force Field Analysis – Nominal Group Technique – Quality Management and Control Tools

7. Seven Tools of Quality Control Cost-Benefit Analysis Cost of Quality Cost of Conformance should be lower than cost of non-conformance Cost of ConformanceCost of Non-Conformance Quality TrainingRework StudiesScrap SurveysInventory Cost Warranty Cost Lost Business

8. Seven Tools of Quality Control 1.Cause-and-Effect Diagrams 2.Flowcharts 3.Checklists 4.Control Charts 5.Scatter Diagrams 6.Pareto Diagrams 7.Histograms Nayyer Kazmi8

9. Cause-and-Effect Diagrams Called Fishbone Diagram Focused on solving identified quality problem Identify potential causes of particular quality problems Causes of problems can be explored through brainstorming Used by quality control teams Nayyer Kazmi9

10. Cause-Effect Diagrams

11. Cause-and-Effect Diagrams

12. Flowcharts Schematic diagram of the sequence of steps involved in an operation or process Develops a clear picture of how the operation works and where problems could arise Used to document the detailed steps in a process Often the first step in Process Re-Engineering Nayyer Kazmi12

13. Checklist Simple data check-off sheet designed to identify type of quality problems at each work station; per shift, per machine, per operator Nayyer Kazmi13

14. Checklist / Checksheets

15. 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 Evaluate whether a process is operating within expectations relative to some measured value Regularly measure the variable of interest and plot it on a control chart Nayyer Kazmi15

16. Scatter Diagrams A graph that shows how two variables are related to one another Detect the amount of correlation or the degree of linear relationship between two variables Data can be used in a regression analysis to establish equation for the relationship Positive correlation: increased production speed and no. of defects Negative correlation: workers training and number of defects Nayyer Kazmi16

17. Scatter Diagrams

18. Scatter Plot Correlation

19. Scatter Plot

20. Pareto Analysis Technique that displays the degree of importance of quality problems Named after the 19 th century Italian economist; often called the 80-20 Rule Principle is that quality problems are the result of only a few problems e.g. 80% of the problems caused by 20% of causes (80-20 rule) Chart ranks the causes of poor quality in decreasing order based on the percentage of defect each has caused Nayyer Kazmi20

21. Pareto Analysis

22. Histograms A chart that shows the frequency distribution of observed values of a variable like service time at a bank drive-up window Displays whether the distribution is symmetrical (normal) or skewed Nayyer Kazmi22

23. Histograms for Variables

24. Product Design - Quality Function Deployment Critical to ensure product design meets customer expectations Useful tool for translating customer specifications into technical requirements is Quality Function Deployment (QFD) QFD encompasses – Customer requirements – Competitive evaluation – Product characteristics – Relationship matrix – Trade-off matrix – Setting Targets Nayyer Kazmi24

25. Quality Function Deployment (QFD) Details Process used to ensure that the product meets customer specifications Nayyer Kazmi25 Voice of the engineer Voice of the customer Customer-based benchmarks

26. QFD - House of Quality Adding trade-offs, targets & developing product specifications Nayyer Kazmi26 Trade-offs Targets Technical Benchmarks Source: Operations Management – An Integrated Approach Fourth Edition by Reid and Sanders