1. TEPM 6304: Quality Improvement in Project Management Project Quality Management & Course Overview

2. Project Quality Management Processes & activities that determine quality policies, objectives & responsibilities so project will satisfy objectives Addresses management of the project & product –Applies to all projects –Quality measures & techniques are specific to product type Compatible with ISO standards, proprietary & non-proprietary quality management approaches

3. Processes 8.1 Plan Quality: Identifying quality requirements/standards for project & product & documenting how the project will demonstrate compliance 8.2 Perform Quality Assurance: Auditing quality requirements & quality control measurements to ensure standards & operational definitions are used 8.3 Perform Quality Control: Monitoring & recording quality activities to assess performance & recommend changes

4. 8.1 Plan Quality Part I: Identifying quality requirements/ standards for project & product –What are the critical to quality (CTQ) characteristics (i.e., performance measures)? –What is expected (i.e., acceptance criteria)? Part II: Documenting how the project will demonstrate compliance –What do we need to measure? –How will we measure it? –How will we track performance? –What will we do if we identify a problem?

5. 8.3 Perform Quality Control Monitoring & recording results of quality activities throughout project to: –Part I: Assess performance Is actual performance aligned with planned performance? If not, identify causes of poor process/product quality –Part II: Recommend changes What actions should be taken to eliminate causes of poor process/product quality? What lessons did we learn (i.e., cause of variation, reason for corrective action chosen, etc.)?

6. 8.2 Perform Quality Assurance Continuous improvement – an iterative approach to improving quality by reducing waste & eliminating activities that do not add value –Auditing (reviewing/checking) quality requirements & quality control measurements to ensure appropriate quality standards & operational definitions are used What are we doing well (i.e., actual performance aligned with standard/planned performance)? Where do we have opportunities for improvement (i.e., gaps/shortcomings in performance)? How can we get better (i.e., preventive/correction actions)?

7. Lean Six Sigma – The DMAIC Methodology DEFINE Charter VOC/CTQ Project Plan Stakeholder Analysis Containment MEASURE Project Metrics Potential Xs & Ys Data Collection Plan Current Baseline ANALYZE 5 Why Process Analysis Data Analysis Benchmark IMPROVE Solution Alternatives Risk Benefits Analysis Pilot Solutions CONTROL Control Plan Transfer Plan Document Updates Variation Reduction Waste Reduction (Lean) Process Map Defect Count Distributions Capability MSA Determine Root Cause DOE Pilot FMEA Error Proofing SPC Control Plan Audits Training Process Map Value Stream Map 7 Waste Determination Cycle Time WIP Takt Time Determine Root Cause 5 S Pull Systems Error Proofing Kaizen Events Kanban Load Leveling Process Flow Maps Visual Controls Audits Training

8. Six Sigma Project Flowchart

9. Six Sigma Project Flowchart (cont’d)

10. Project Selection

11. Our Focus Areas Test 1 – 10/13/10 –What is Six Sigma? –Define phase Affinity diagrams Problem & mission statements SIPOC diagrams Flowcharts –Measure phase Measurement system analysis (MSA) Check sheets Histograms Run charts Pareto charts Capability analysis Cause & effect diagrams Test 2 – 12/1/10 –Analyze phase Correlation analysis Regression analysis Confidence intervals t-tests –Improve phase Prioritization grids Nominal group technique DOE Pilot testing Tree diagrams –Control phase Monitoring/audit plan Process documentation Revised procedures

12. Professor’s Background Jamison V. Kovach, Ph.D. 230F – Technology 2 Building 713-743-1704 jvkovach@uh.edu http://www.tech.uh.edu/Directory/Kovach/Jamison/

13. Professor’s Background Education: –Ph.D. & M.S. in Industrial Engineering, Clemson University Dissertation title: Development of a Decision-Support Multidisciplinary Robust Engineering System under Uncertainty Certificate: Technology Entrepreneurship –M.S. in Textile Technology, Institute of Textile Technology –B.S. in Textile Engineering, North Carolina State University Industrial experience: –Milliken & Company – SC based textile and chemical company –Product & Process Improvement Engineer Responsible for shade quality of athletic apparel and automotive fabrics Teaching experience: –Operations management –Quality management & improvement methods –Product & process design methods

14. Scholarly Interests Research interests: Understanding factors that impact organizational problem solving Identifying how continuous improvement methods affect performance / decision making Exploring innovative methods for improving/designing products, processes, and services. Training: Six Sigma Black Belt Skills: Plan data collection efforts & statistically analyze data sets Problem solving / process improvement –Process maps / value analysis –System modeling (y = f(x)) –Design of experiments –Total quality management –Six Sigma Product / process design –User needs analysis –Quality function deployment –Design for Six Sigma –Robust design

15. Director, UH-Six Sigma Program Sponsored jointly by the College of Technology & the Texas Manufacturing Assistance Center (TMAC) Designed to assist companies with implementing quality improvement initiatives –Training and certification for employees –Consult/conduct projects www.uhsixsigma.com

16. Teaching Assistant (TA): Wentao Wu Industrial Engineering Master’s Student 127 – Technology 1 Building wuwentao@gmail.com

17. Introductions & Requirements Class introductions: –Fill out a student information sheet Course requirements: –Teaching philosophy –Syllabus

18. Questions?