Statistical Quality Control (SQC) Principles and Tools Quiz

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Match the following concepts with their descriptions in Statistical Quality Control:

Chance cause = Variation beyond human control, inherent in production process Assignable cause = Variation due to known reasons, can be prevented or eliminated Natural tolerance limits = Limits based on process variation and used for process control 3-sigma control limits = Control limits based on standard deviation for identifying out-of-control process

Match the following tools with their applications in Statistical Quality Control:

Control charts = Monitoring and maintaining process stability and quality over time Process and product control = Ensuring various steps of the production process are within control Modified control limits = Adjusting control limits to account for special causes of variation Principles of control chart = Using statistical techniques to detect variation in a process

Match the following statements with their correct descriptions in Statistical Quality Control:

SQC application in industry = Ensuring end product quality by keeping process steps within control Variation in production process = Inherent and beyond human control, categorized as chance and assignable causes Purpose of statistical techniques in SQC = To monitor and improve the quality of the product over time Importance of natural tolerance limits = Utilizing process variation for effective process control

Match the following control limits with their characteristics in Statistical Quality Control:

<p>Control charts for mean, standard deviation and range = Tools for monitoring different aspects of process variation 3-sigma control limits = Identifying common cause variation and distinguishing it from special cause variation Specification limits = Based on customer requirements and used for product acceptance Modified control limits = Adjusted to account for non-random variation in the process</p> Signup and view all the answers

Match the following SQC techniques with their applications:

<p>Theory of probabilities and sampling = Basis for SQC techniques in monitoring and controlling process variation Sampling in SQC = Used to make inferences about the entire production process based on a subset of data Statistical techniques in SQC = Applied to ensure the qualities expected by consumers are present in the end product Process control in SQC = Ensuring that the various steps of the production process are within control</p> Signup and view all the answers

Study Notes

Statistical Quality Control Concepts

  • Concepts: Match terms with their descriptions, such as types of control charts, sampling plans, and quality metrics.
  • Descriptions: Include definitions and explanations of concepts like Acceptance Sampling, Rectifying Inspection, and Process Capability.

Tools and Applications

  • Tools: Match with their applications, such as R-chart, p-chart, X-bar chart, and Design of Experiments (DOE).
  • Applications: Include uses in process monitoring, variability reduction, and defect rate estimation.

Statements and Descriptions

  • Statements: Match with correct descriptions, such as "a process is in statistical control" or "a process is capable".
  • Descriptions: Include explanations of statistical statements, such as the implications of a process being in control or capable.

Control Limits and Characteristics

  • Control Limits: Match with their characteristics, such as Upper Control Limit (UCL), Lower Control Limit (LCL), and Center Line (CL).
  • Characteristics: Include properties of control limits, such as the role of UCL in detecting upward shifts in a process.

SQC Techniques and Applications

  • SQC Techniques: Match with their applications, such as Shewhart Control Charts, Cumulative Sum (CUSUM) Charts, and Exponential Weighted Moving Average (EWMA) Charts.
  • Applications: Include uses in process control, monitoring, and improvement, such as detecting anomalies and identifying trends.

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