solutions
Improve Manufacturing Product Quality
Sciemetric can help your team gain the data-driven clarity and insight to take action and achieve the quality benchmarks you need to compete. Our solutions let you catch defects as they happen, and implement change to avoid them in the future.
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Improve Root-Cause Analysis With Manufacturing Data
Use manufacturing data from in-process testing, process monitoring and digital signature analysis to trace root cause and contain quality spills with Sciemetric.
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Application Note: Cam Shaft Grinding Application
A major automotive manufacturer was looking for an accurate quality and process monitoring system to improve yield and reduce costly defects. They were having issues with chatter marks in a cam shaft grinding operation causing engine noise and vibration (NVH) and accelerating engine component wear. Sciemetric’s test and process monitoring system resolved the problem: it measures vibration quality control, condition-based wheel dress frequency, monitors machine health to prevent future defects and more. Read the Application Note to learn more.
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QualityWorX CTS DataHub 数据表
QualityWorX CTS DataHub 是一个由主机与 Sciemetric Studio 分析软件组成的整体平台。该平台可使您在设置完成后的几分钟内,开始收集并分析来自多达五个 CTS 泄露检测工具或 Sciemetric sigPOD 流程检测监控的实时数据。
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QualityWorX Datasheet
QualityWorX is a manufacturing analytics suite that automates the collection, storage, archiving, retrieval, analysis and reporting of test and assembly data for discrete manufacturing.
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Contain Manufacturing Defects to Avoid Costly Recalls
Catch and contain manufacturing defects before they lead to warranty claims and costly recalls with the manufacturing analytics capabilities of Sciemetric.
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Manufacturing Traceability
Collect, access, report and analyze part production data with a full traceability record for every manufactured part using Sciemetric’s data collection and analytics.
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QualityWorX 宣传册
Sciemetric 数据管理和制造分析解决方案包括数据驱动型决策所需的一切要素。如果制定决策时,依据的是实际数据,而非猜测或实验及错误,您就没有理由不信任决策的正确性。
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Infographic: Bridging the Gap Between Data and Insight
Sciemetric helps manufacturers and companies in the industrial sector bridge the gap between data and insight using our data management and analytics solutions. Learn how we could help you.
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Case Study: Manufacturer uses production data to overhaul quality on a global scale
End-of-line testing is costly and unreliable. What’s more, it doesn’t generate sufficient data to support advanced analytics. For one leading automotive OEM, a reliance on EoL meant that they weren’t fully realizing the data-driven potential of a connected Industry 4.0 environment. When this customer decided to take a harder look at standardizing quality across its international brands, it intensified testing beyond EoL and, in the process, unleashed a torrent of data that, once properly managed, made improvements they could only have hoped for. Read the case study to learn more.
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