Project Quality Control (PMBOK 2000)

Overview/Description
 Have consumers or clients rejected your products because of design or manufacturing flaws? Was it because quality control was not considered important or that your quality control program failed to identify problems? If so, then this course is for you! This course describes how quality control fits within project management and the quality process. It also addresses and applies the statistical methods used in quality control. Since documentation control and handling are essential to the quality process, the course introduces control techniques, procedures and checklists. This course is aligned with "A Guide to the Project Management Body of Knowledge" (PMBOK ® Guide) 2000 Edition, published by the Project Management Institute (PMI ®). An understanding of this material will greatly aid project management by reducing wasted time and resources and assisting in the production of superior processes and products.

Target Audience
 This series is targeted specifically for project managers, project team members, functional managers with employees assigned to project teams, project stakeholders, any team manager or member interested in project management, executives committed to their organization's growth, managers required to take on new challenges, and top managers with vision.

Expected Duration
4.0 hours

Lesson Objectives:

Quality Control Inputs

  • recognize the benefits of the inputs to the project quality control and improvement process.
  • identify the role of the quality management plan, operational definitions, and checklists as an input to quality control.
  • identify the work results that are inputs to project quality control.

    • Tools and Techniques for Quality Control

  • recognize the importance of methods used in quality control.
  • determine the most appropriate inspection method for a situation.
  • determine appropriate sampling types for a given situation.
  • recommend corrective action using cause-and-effect analysis given a scenario.
  • determine if the quality control goal has been met based on Pareto diagram analysis.
  • determine whether a process needs adjustment using normal distribution analysis in a control chart.
  • identify the trend analysis pattern in a given diagram.

    • Quality Control Outputs

  • recognize the importance of project quality control outputs to the project quality management process.
  • determine whether a product should be accepted or rejected based on acceptance decisions and rework.
  • identify process adjustments and quality improvements.
  • identify document handling and implementation procedures.

    • Course Number: PROJ0463