Positional, cyclical, and temporal variations are most commonly analyzed in

Question

Options

• ASPC charts
• Bmulti-vari charts
• Ccause and effect diagrams
• Drun charts

• B
  93% (26)
• C
  4% (1)
• D
  4% (1)

Explanation

Multi-vari charts (B) are specifically designed to display and analyze three distinct types of variation simultaneously: positional (variation within a single unit), cyclical (variation between consecutive units or batches), and temporal (variation over time) - making them the ideal tool for identifying the dominant source of variation before deeper investigation.

SPC charts (A) track process variation over time but focus on detecting special vs. common cause variation, not categorizing positional or cyclical patterns. Cause and effect diagrams (C) are brainstorming tools for identifying potential causes of variation, not for analyzing measured data patterns. Run charts (D) display data points over time and can reveal trends or shifts, but lack the multi-panel structure needed to separate positional and cyclical variation from temporal variation.

Memory tip: Think of multi-vari as "multi-variable" - it captures variation across multiple dimensions at once (within-piece, piece-to-piece, time-to-time), which maps directly to positional, cyclical, and temporal. The word "multi" in both "multi-vari" and "multiple variation types" is your cue.

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