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Using Fishbone Diagrams in Manufacturing

ATS

Share The fishbone diagram is a simple yet powerful tool for determining the root cause of problems like breakdowns and scrap parts. Its an essential tool for continuous improvement in Lean and Six Sigma environments and is equally valuable wherever theres a need for root cause analysis.

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Maintenance Troubleshooting: A Comprehensive Guide for Optimized Industrial Operations

ATS

This leads to inconsistency in how equipment failure is addressed, which impacts operational efficiency. This blog outlines a structured approach to maintenance troubleshooting. Share Effective troubleshooting is vital for driving down unplanned downtime and minimizing Mean Time to Repair (MTTR).

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Want to ensure quality manufacturing for complex discrete operations? Embed it in the process.

iBASEt

No matter how much we carry out tests and inspections, quality escapes are bound to happen. When that happens, how your manufacturing team responds is critical. Let’s look at how your team can use Solumina MES iSeries to react to quality escapes in production. Quality is a never-ending challenge. Back to the shop floor .

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Failure Reporting Analysis and Corrective Action System (FRACAS)

ATS

A failure reporting analysis and corrective action system — known as a FRACAS — can help organizations to extract value from failure scenarios, analyze why they occur and take further action toward reducing and avoiding them.

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Breaking the Cycle of Quality Challenges in Aerospace & Defense

iBASEt

This blog explores how embedding quality management within an MES platform can really make a difference in production processes and strengthen quality assurance. When production issues arise, these systems facilitate immediate root-cause analysis and corrective actions, allowing teams to address problems faster.

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Process Failure Mode Effects Analysis in Manufacturing

ATS

PFMEA is a structured process for identifying risks and defining and prioritizing preventive actions. After introducing the methodology, this blog discusses when and how it should be followed. Process Failure Mode and Effects Analysis (PFMEA) is a version of FMEA tailored for use with manufacturing processes.

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Using AI & Machine Learning for Condition Monitoring

ATS

Share The level of increasingly sophisticated analysis made possible by machine learning algorithms and AI has been gradually improving maintenance standards across the industry as a whole. The result is a more effective and efficient system that not only detects issues, but also can suggest remedial action.