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Quality Management & Performance Metrics Flashcards

7 cards from real CPP practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Quality Management & Performance Metrics flashcards as text
  1. A process owner notices that defect rates fluctuate between 2% and 8% with no identifiable pattern. This is most likely an example of:

    Answer: Common cause variation

    Random fluctuation within a stable range without identifiable triggers indicates common cause variation inherent to the process.

  2. Which quality cost category includes expenses for inspecting incoming raw materials from suppliers?

    Answer: Appraisal costs

    Appraisal costs cover activities like inspection, testing, and auditing performed to detect defects before products reach customers.

  3. A CPP practitioner wants to measure how efficiently a process converts inputs to outputs. Which metric is most appropriate?

    Answer: Throughput efficiency

    Throughput efficiency measures value-added time as a percentage of total cycle time, directly quantifying input-to-output conversion efficiency.

  4. The PDCA cycle was originally developed by which quality pioneer?

    Answer: Walter Shewhart

    Walter Shewhart developed the PDCA (Plan-Do-Check-Act) cycle, which was later popularized by W. Edwards Deming.

  5. A process produces 950 acceptable units out of 1,000. The First Pass Yield (FPY) is:

    Answer: 95%

    FPY = (Units passing without rework / Total units started) × 100 = (950/1000) × 100 = 95%.

  6. Which tool is most effective for identifying the root cause of a quality problem by systematically exploring cause-and-effect relationships?

    Answer: Ishikawa diagram

    The Ishikawa (fishbone) diagram maps cause-and-effect relationships across categories like people, process, equipment, and materials.

  7. In the context of quality management, 'Voice of the Customer' (VOC) data is primarily used to:

    Answer: Translate customer needs into process requirements

    VOC data captures customer expectations and requirements, which are then translated into measurable process and product specifications.