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Home » statistical process control (SPC)

Articles Tagged with ''statistical process control (SPC)''

QM 0123 Software & Analysis 5 Axis Prop Image
Software & Analysis

Choosing the Right Measurement and Inspection Software

Nick Merrell
January 5, 2023

When it comes to selecting inspection and measurement software, getting it right is important.


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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

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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QTY 1222 InfinityQS IC Editorial Topic 1

3 Characteristics of Smart Data Collection

The right intervals of automated, mobile data collection can help any SPC effort.
December 9, 2022

Manufacturers looking to improve their processes require precise and accessible real-time statistical process control (SPC) data.


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QM 1122 Software & Analysis SPC Software Feature
Software & Analysis

SPC Software Enables Real-Time Process Management

When the process is in-control, monitoring it using the SPC control chart ensures that it will reliably meet the process requirements.
Paul Keller
November 2, 2022

Real-time process management using SPC software has never been more cost-effective, providing substantial benefits by consistently meeting customer requirements with minimal labor expense.


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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

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 InfinityQS IC Topic 4 Editorial Updated

Why More Manufacturers Are Turning to SPC

SPC helps manufacturers proactively lower costs, boost speed and yield, drive quality and avert defects through continuous improvements.
September 9, 2022

Manufacturers across a range of industries lean on statistical process control (SPC) operations management methods to handle various customers and compliance requirements while keeping yield and quality high.


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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

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

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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QTY 0722 InfinityQS IC Topic 4 Editorial v2

How SPC Can Lead to Zero Defects

Manufacturers are already producing data. For organizations to get full value from that information, they should choose a Statistical Process Control (SPC) solution that configures notifications, automatic alarms, emails, and process alerts.
July 12, 2022

A contemporary approach to statistical process control (SPC)—using real-time quality data—can help manufacturers reduce scrap, comply with regulations and standards, and meet customer requirements.


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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

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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