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  • REAL TIME STATISTICAL PROCESS CONTROL
  • QUALITY ANALYTICS
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  • IDEA MANAGEMENT & INNOVATION for OpEx
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Real Time Statistical Process Control

  • Qm 0422 minitab ic topic 1 editorial

    Why Statistical Analysis Matters

    Manufacturers use statistical and rule-based analysis of manufacturing data to better understand and improve their processes. They also use it to pinpoint and strengthen best practices, react quickly, and foresee potential problems before they disturb product quality, yield, or cost.


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  • Qm 0322 minitab editorial feature

    Real Time Statistical Process Control

    Manufacturers need proper automation, machines, and software to manufacture products faster and keep up with evolving customer demands. As production capacity increases, these businesses must boost their quality control capacity while reducing quality costs. 

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Next Gen Quality Analytics

  • Qm 0522 minitab ic editorial feature

    Why Predictive Analytics Helps Boost the Bottom Line

    Machine downtime can be expensive. It eats up profits, repair costs, and time that could otherwise be devoted to labor. Organizations can avoid this by proactively observing the condition and performance of their equipment, enabling them to predict and prevent machine failures. 

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  • Qm 0222 minitab ic topic 2 lehigh valley health network feature

    Lehigh Valley Health Network Reduces Length of Stay with Minitab

    How LVHN used Lean Six Sigma tools and Minitab statistical analysis to achieve improvements in patient-centered care.

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Monte Carlo Simulation

  • Qm 0222 minitab ic topic 3 monte carlo simulation creating monte carlo sim

    The 4 Simple Steps for Creating a Monte Carlo Simulation with Engage or Workspace

    In situations where resources are limited to gathering real data would be too expensive or impractical, Monte Carlo simulations can help forecast results and probabilities. 

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  • Qm 0222 minitab ic topic 3 monte carlo simulation

    Electronics Maker Uses Monte Carlo Simulation to Find Better Specs for Suppliers and Realize Significant Cost Savings

    Testing potential improvements can get complicated then you’re working with multiple suppliers in different steps of a process. Using a Monte Carlo Simulation can help illuminate the results you’d like to see, while saving time and money compared to running tests on real parts.

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Idea Management and Innovation for OpEx

  • Qm 0222 minitab ic topic 4 rubber mainim 3

    Rubber Manufacturer Sets Out to Build Culture of Continuous Improvement and Data-Driven Decision-Making

    A world leader in rubber compounding needed to meet increasing customer expectations and heightened sustainability recommendations while continuing to grow and improve their business.

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  • Qm 0222 minitab ic topic 4 predictive analytics comes of age in manufacturing

    Predictive Analytics Comes of Age in Manufacturing

    Using Minitab’s Predictive Analytics with Auto ML in manufacturing enables quality improvement and warranty prediction, practically in real-time.

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Running a Monte Carlo Simulation in Minitab

Monte Carlo simulations help forecast possible outcomes and probabilities, while saving on time and resources spent running physical tests. Learn how easy it is to run a Monte Carlo simulation with Minitab.

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