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ASQ

CSSGB · Question #45

Construct a control chart from the following data. Answer:

The correct answer is D. Utilize employee involvement. Utilizing employee involvement (D) is correct because control charts are quality management tools rooted in Total Quality Management (TQM) philosophy, which holds that front-line employees closest to the work have the deepest insight into process problems and their root causes…

Control Phase

Question

Construct a control chart from the following data. Answer:

Exhibit

CSSGB question #45 exhibit

Options

  • AProvide better procedures for customer service personnel
  • BRestrict access to customer data
  • CHave supervisors available to answer more questions
  • DUtilize employee involvement

How the community answered

(29 responses)
  • A
    3% (1)
  • B
    7% (2)
  • C
    3% (1)
  • D
    86% (25)

Explanation

Utilizing employee involvement (D) is correct because control charts are quality management tools rooted in Total Quality Management (TQM) philosophy, which holds that front-line employees closest to the work have the deepest insight into process problems and their root causes - making their involvement essential for meaningful, lasting improvement.

Why the distractors fail:

  • A (Better procedures) is a top-down, management-imposed fix that skips root-cause analysis and lacks employee buy-in, making it less effective and sustainable.
  • B (Restrict access to customer data) addresses security, not process quality - it's completely unrelated to what a control chart measures.
  • C (Supervisors available for questions) adds oversight but doesn't engage the people who actually understand why the process is failing; it treats symptoms rather than causes.

Memory tip: Think "control chart → find the problem → involve the people who do the work." In any quality/process question, employee involvement is almost always preferred over management mandates because it builds ownership and surfaces ground-level knowledge that supervisors and procedures miss.

Topics

#control charts#SPC#X-bar R chart#process data

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