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Home » Topics » Next Generation SPC & Quality Analytics » Real Time Statistical Process Control

Real Time Statistical Process Control
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ARTICLES

QM 0123 Minitab IC Topic 1a feature

Predictive Analytics Can Help Manufacturers Forecast Inventory

January 9, 2023
One Comment

Manufacturers can prevent backorders and keep their inventory on track by predicting customer demand, otherwise known as using predictive analytics.


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QTY 1222 Minitab IC Editorial Topic 1

Why Your Team Needs Statistical e-Learning Options

Six Sigma relies on statistics at its core. But using Six Sigma throughout an organization is not always straightforward.
December 9, 2022
No Comments

Statistical quality software undoubtedly helps manufacturers boost productivity, improve decision-making, and become more engaged with their data. But to fully realize the benefits, they must embrace staff training.


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QM 1122 Minitab IC Topic 1

How Manufacturers Control Processes Through Real-time Monitoring Software

Real-time monitoring software monitors and tweaks processes based on performance.
November 7, 2022
4 Comments

When a process is constantly monitored and organized, manufacturers can guarantee optimal processes.


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QM 1022 Minitab IC Editorial feature

How Predictive Analysis Software Boost Efficiency

Manufacturers can prevent disruption instead of reacting to it.
October 7, 2022
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Artificial intelligence and predictive modeling still require a human element: Especially staff to capture data, manage insights, deploy the software, guarantee production quality and more.


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QTY 0922 Minitab IC Topic 1 Editorial

How Predictive Analytics Can Boost ROI

Manufacturers already collect data, but many can stand to optimize their processes.
September 9, 2022
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Manufacturers can unearth valuable insights from test data from various sources by employing statistical algorithms and machine learning to establish patterns and predict future outcomes and trends.


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QM 0822 Minitab IC Editorial Feature

The Essential Functions of a Modern SPC Solution

A typical program should come packaged as one comprehensive solution, with real-time monitoring and alerts.
August 8, 2022
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Statistical process control (SPC) helps organizations monitor and control quality. It enables manufacturers to boost efficiency, minimize waste, and detect problems early. Quality and process monitoring is key to efficiency in manufacturing.


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QTY 0722 Minitab iC Editorial Topic 1

Best Practices When Implementing SPC Charts

Control charts should be implemented carefully. Here are best practices to keep in mind.
July 13, 2022
4 Comments

The Xbar/R Control Chart is a method of Statistical Process Control (SPC) manufacturers can use to reduce fill weight variation, maintain centerlines and avoid rework. Here are best practices to keep in mind:



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QM 0622 Minitab IC Topic 1 Editorial feature

SPC’s Journey Through Time

Statistical Process Control’s impact on industry has been enormous.
June 8, 2022
4 Comments

Statistical Process Control’s impact on industry has been enormous. It has branched out beyond the manufacturing realm and can be applied to any process with quantifiable outputs.



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QM 0422 Minitab IC Topic 1 Editorial

Why Statistical Analysis Matters

Through data-driven product optimization, overseeing defect density levels and examining customer feedback and purchasing trends, statistical analysis can help manufacturing companies make better, more informed decisions.
April 11, 2022
3 Comments

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

Real-time SPC, otherwise known as in-line SPC, is characterized by employing SPC during production.
March 16, 2022
One Comment

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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