10: Managing Project Quality
- Page ID
- 24654
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\(\newcommand{\avec}{\mathbf a}\) \(\newcommand{\bvec}{\mathbf b}\) \(\newcommand{\cvec}{\mathbf c}\) \(\newcommand{\dvec}{\mathbf d}\) \(\newcommand{\dtil}{\widetilde{\mathbf d}}\) \(\newcommand{\evec}{\mathbf e}\) \(\newcommand{\fvec}{\mathbf f}\) \(\newcommand{\nvec}{\mathbf n}\) \(\newcommand{\pvec}{\mathbf p}\) \(\newcommand{\qvec}{\mathbf q}\) \(\newcommand{\svec}{\mathbf s}\) \(\newcommand{\tvec}{\mathbf t}\) \(\newcommand{\uvec}{\mathbf u}\) \(\newcommand{\vvec}{\mathbf v}\) \(\newcommand{\wvec}{\mathbf w}\) \(\newcommand{\xvec}{\mathbf x}\) \(\newcommand{\yvec}{\mathbf y}\) \(\newcommand{\zvec}{\mathbf z}\) \(\newcommand{\rvec}{\mathbf r}\) \(\newcommand{\mvec}{\mathbf m}\) \(\newcommand{\zerovec}{\mathbf 0}\) \(\newcommand{\onevec}{\mathbf 1}\) \(\newcommand{\real}{\mathbb R}\) \(\newcommand{\twovec}[2]{\left[\begin{array}{r}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\ctwovec}[2]{\left[\begin{array}{c}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\threevec}[3]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\cthreevec}[3]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\fourvec}[4]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\cfourvec}[4]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\fivevec}[5]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\cfivevec}[5]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\mattwo}[4]{\left[\begin{array}{rr}#1 \amp #2 \\ #3 \amp #4 \\ \end{array}\right]}\) \(\newcommand{\laspan}[1]{\text{Span}\{#1\}}\) \(\newcommand{\bcal}{\cal B}\) \(\newcommand{\ccal}{\cal C}\) \(\newcommand{\scal}{\cal S}\) \(\newcommand{\wcal}{\cal W}\) \(\newcommand{\ecal}{\cal E}\) \(\newcommand{\coords}[2]{\left\{#1\right\}_{#2}}\) \(\newcommand{\gray}[1]{\color{gray}{#1}}\) \(\newcommand{\lgray}[1]{\color{lightgray}{#1}}\) \(\newcommand{\rank}{\operatorname{rank}}\) \(\newcommand{\row}{\text{Row}}\) \(\newcommand{\col}{\text{Col}}\) \(\renewcommand{\row}{\text{Row}}\) \(\newcommand{\nul}{\text{Nul}}\) \(\newcommand{\var}{\text{Var}}\) \(\newcommand{\corr}{\text{corr}}\) \(\newcommand{\len}[1]{\left|#1\right|}\) \(\newcommand{\bbar}{\overline{\bvec}}\) \(\newcommand{\bhat}{\widehat{\bvec}}\) \(\newcommand{\bperp}{\bvec^\perp}\) \(\newcommand{\xhat}{\widehat{\xvec}}\) \(\newcommand{\vhat}{\widehat{\vvec}}\) \(\newcommand{\uhat}{\widehat{\uvec}}\) \(\newcommand{\what}{\widehat{\wvec}}\) \(\newcommand{\Sighat}{\widehat{\Sigma}}\) \(\newcommand{\lt}{<}\) \(\newcommand{\gt}{>}\) \(\newcommand{\amp}{&}\) \(\definecolor{fillinmathshade}{gray}{0.9}\)- 10.1: Quality and Statistics
- This page defines quality as the fulfillment of requirements and explores quality control through statistical concepts, including control limits and standard deviation. It highlights the importance of normal distribution and the 68-95-99.7 rule for data clustering around the mean. The text emphasizes minimizing defects with six-sigma systems and presents a new refinery process for consistent fuel quality.
- 10.2: Development of Quality as a Competitive Advantage
- This page outlines the evolution of quality management as a competitive advantage, emphasizing historical figures like Deming and Shewhart, and their influence on practices like Total Quality Management (TQM) and Six Sigma, which focuses on quantifiable results. It contrasts Deming's strict principles with TQM's flexibility and highlights the establishment of international standards like ISO 9000.
- 10.3: Relevance of Quality Programs to Project Quality
- This page compares project quality management and process quality management, highlighting the need for employee commitment and error prevention in both. Project quality focuses on product specifications and efficient management within constraints, while the temporary nature of projects limits process improvement opportunities.
- 10.4: Planning and Controlling Project Quality
- This page highlights the critical role of quality planning and control in project management, stressing statistical measurement, understanding client needs, and employing techniques like flowcharting and benchmarking. It discusses tools such as control charts and Pareto charts for identifying quality issues, and emphasizes the significance of data collection and comparative analysis against best practices.
- 10.5: Assuring Quality
- This page discusses quality assurance, emphasizing its role in ensuring effective quality plans through process analysis and corrective actions. It highlights the importance of student feedback in training settings for improving instructor selection, and the validation role of external quality audits in aligning practice with quality goals. Ultimately, it aims to build client confidence in adherence to quality standards and procedures.
- 10.6: Exercises
- This page focuses on exercises designed to deepen understanding of key concepts, including Deming's theories and the decline of U.S. manufacturing quality. It features essay questions that promote critical analysis of chance versus assignable causes and four Japanese TQM terms.
- 10.7: Software and Technology Exercises
- This page describes learning objectives on normal distribution, standard deviation, and statistical variation through exercises, simulations, and reflective essays. It introduces control charts and run charts for monitoring variations in production and highlights the distinction between random variations and trends caused by assignable factors.