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Related Concept Videos

Introduction to Statistical Process Control01:15

Introduction to Statistical Process Control

Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
Stress Concentrations in Circular Shafts01:18

Stress Concentrations in Circular Shafts

Consider the elastic torsion formula, which applies to a circular shaft with a consistent cross-section. This formula assumes that the shaft's ends are loaded with rigid plates firmly attached. However, in many cases, torques are applied to the shaft through mechanisms like flange couplings or gears, which are connected by keys inserted into keyways. This application method modifies the stress distribution near the point of torque application, causing it to deviate from the distributions...
Control Systems01:10

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...

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Related Experiment Video

Updated: May 26, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

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Published on: August 29, 2025

Initial investigation using statistical process control for quality control of accelerator beam steering.

Charles M Able1, Carnell J Hampton, Alan H Baydush

  • 1Department of Radiation Oncology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA. cable@wakehealth.edu

Radiation Oncology (London, England)
|December 30, 2011
PubMed
Summary

Statistical process control (SPC) effectively monitors linear accelerator beam steering, detecting issues before equipment failure. This improves radiotherapy efficiency and beam consistency by identifying deviations early.

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Quality Control

Background:

  • Clinical operational efficiency and accelerator beam consistency are critical in radiotherapy.
  • Equipment failures can disrupt treatment delivery and impact patient care.
  • Proactive monitoring of linear accelerator (LINAC) parameters is essential for reliable operation.

Purpose of the Study:

  • To investigate the application of statistical process control (SPC) to LINAC beam steering parameters.
  • To determine the utility of SPC in detecting changes before equipment failure.
  • To enhance clinical operational efficiency and accelerator beam consistency.

Main Methods:

  • Retrospective analysis of steering coil currents (SCC) for transverse and radial planes.
  • Utilized average and range (Xbar-R) process control charts (PCC) for SCC data.
  • Calculated PCC limits using initial data and evaluated SCC from September 2009 to June 2010.

Main Results:

  • High-alarm limits (6 standard deviations) were established for PCC.
  • Transverse angle SCC for 6 MV and 15 MV LINACs triggered high-alarms 90 and 108 days before failure, respectively.
  • Low alarms for transverse position and radial angle SCC indicated negative trends 116-124 days prior to failure.

Conclusions:

  • Implementing SPC for LINAC beam steering monitoring can improve radiotherapy efficiency.
  • SPC methods can detect abnormal changes in beam steering parameters before equipment failure.
  • This proactive approach enhances accelerator beam consistency and reliability.