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Related Concept Videos

Control Systems01:10

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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.
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Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
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Run Charts01:12

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Run charts serve as an essential instrument for visualizing the performance of various processes over time, enabling the identification of trends and patterns crucial for quality improvement. These charts map out a series of data points chronologically, offering insights into the stability and efficiency of a process. A run chart's creation involves plotting data points on a graph, with the time intervals on the horizontal axis and the specific measurements on the vertical axis. For...
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Interpreting Run Charts01:25

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Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
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Related Experiment Video

Updated: Mar 14, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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Manufacturing Execution Systems: Examples of Performance Indicator and Operational Robustness Tools.

Yannick Gendre1, Gérard Waridel2, Myrtille Guyon2

  • 1Syngenta Crop Protection Monthey SA CH-1870 Monthey, Switzeerland. yannick.gendre@syngenta.com.

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Manufacturing Execution Systems (MES) improve production performance by measuring productivity, yield, and quality. This study details MES tools for process robustness and control, aiding operators in preventing deviations.

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Area of Science:

  • Industrial Engineering
  • Manufacturing Systems
  • Automation Technology

Background:

  • Manufacturing Execution Systems (MES) are crucial for real-time production monitoring.
  • Key performance indicators (KPIs) like productivity, yield, and quality are essential metrics.
  • Process robustness and statistical process control (SPC) are vital for consistent manufacturing outcomes.

Purpose of the Study:

  • To describe performance indicators and Overall Equipment Effectiveness (OEE) within MES.
  • To detail tools for enhancing process robustness and operator control.
  • To present MES development for automation, focusing on preventing deviations from control charts.

Main Methods:

  • Review of performance indicators and OEE calculation methods.
  • Description of process robustness tools and SPC techniques.
  • Explanation of operator-centric control tools for deviation prevention.

Main Results:

  • MES provides a framework for measuring and improving production performance.
  • Tools like control charts aid operators in maintaining process stability.
  • Implementation of MES enhances automation and reduces process variability.

Conclusions:

  • MES are effective in monitoring and enhancing manufacturing performance.
  • Operator involvement through control tools improves process robustness.
  • The developed MES contributes to advanced automation and quality control.