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Predictive Maintenance & Quality

Predictive maintenance software solutions from IBM access multiple data sources in real time to help predict asset failure or quality issues so your organization can avoid costly downtime and reduce maintenance costs.

Driven by predictive analytics, these solutions detect even minor anomalies and failure patterns to determine the assets and operational processes that are at the greatest risk of problems or failure. This early identification of potential concerns helps you deploy limited resources more cost effectively, maximize equipment uptime and enhance quality and supply chain processes, ultimately improving customer satisfaction.

Predictive maintenance products use powerful analytics in combination with data integration and management to help organizations reduce operational costs and improve asset performance.

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IBM Predictive Maintenance and Quality

IBM Predictive Maintenance and Quality is preconfigured software, available either on-cloud or on-premise, that helps you monitor, maintain and optimize assets for better availability, utilization and performance. It analyzes various types of data, including usage, wear and conditional characteristics from disparate sources, and detects failure patterns and poor quality parts earlier than traditional quality control methods, to reduce unscheduled asset down time and ensure quality metrics are achieved or exceeded. The product sends those insights, combined with your institutional knowledge, to provide optimized recommended decisions to people and systems. With IBM Predictive Maintenance and Quality, organizations can better optimize operations and supply chain processes, resulting in better quality products, higher profit margins and competitive advantage.