MANUFACTURING

Switch to Smart Manufacturing Easily

RAISE THE INTELLIGENCE OF YOUR DIGITAL FACTORY

The strong winds of Industry 4.0 fueled by the Internet of Things (IoT) started the transition to digital factories. Now, the industry is being transformed by smart manufacturing that uses intelligence to make operations more efficient, profitable, and sustainable. Striim enables intelligent manufacturing by integrating, analyzing, and visualizing operational data, including sensor and historian data, in real time to support automated smart decisions. It performs streaming analytics at the edge, or in the cloud, enabling fast insights from high-velocity factory floor data while they are still actionable. With Striim, you can achieve higher quality production and agility with less cost.

  • Collect real-time data from IoT devices and historians using change data capture
  • Perform edge-processing and edge-analytics on IoT data
  • Use artificial intelligence to respond to operational events
  • Improve production safety, and ensure regulatory compliance
  • Increase product quality while optimizing material and capacity use
  • Extend the lifespan of factory equipment and reduce the risk of production delays
  • Maximize information security by detecting security threats in real time

WHY STRIIM FOR MANUFACTURING

Striim integrates, analyzes, and visualizes streaming enterprise data and IoT sensor data in real time. It provides a single, end-to-end software platform that performs real-time predictive analytics and integrates with machine learning solutions to accurately discover time-sensitive insights from factory floor data.

Using Striim’s real-time alerts and by triggering workflows, you can set up automated responses to critical operational events. Striim also enables smart data architecture by filtering out unnecessary IoT data, enriching as needed before streaming or big data analytics. As a platform, Striim supports multiple use cases from IoT edge processing to preventative maintenance for factory equipment, to enterprise security threat prevention.

ENSURE SAFETY, SECURITY, AND COMPLIANCE
Monitor compliance with safety regulations and quality guidelines in real time using machine, sensor and enterprise data, and receive real-time alerts
MAXIMIZE PRODUCTIVITY AND UTILIZATION
Predict equipment issues to prevent malfunction and costly repairs, while optimizing capacity utilization across different sites based on real time data
MINIMIZE COSTS AND CARBON FOOTPRINT
Reduce product defects and related time and material waste, while minimizing energy consumption with real-time production data analytics
Customer Use Case

AEROSPACE MANUFACTURER

The leading aerospace and defense manufacturer chose Striim to support its modernization of analytics solutions. The company moved to a Hadoop-based big data environment to provide richer and more timely analytics to its employees and partners. Striim integrates its HP NonStop OLTP systems with the Hadoop ecosystems by delivering transactional data to HDFS, Kafka, and HBase in real time. With the ability to contain up-to-date airplane parts and schema data in the Hadoop environment, the company moved operational reporting processes from HP NonStop to Hadoop.


Offloaded its operational reporting from transactional systems to Hadoop, reducing overhead on the OLTP systems


Supports critical operational decision-making for production and supply chain management using real-time airplane parts and schema data


Hadoop environment serves a large eco-system including suppliers and partners, with timely, operational data

Use Case Examples

MAKE YOUR FAST DATA WORK BETTER FOR YOU

 

Striim supports manufacturing companies in a variety of use cases including:

  • Real-time data integration for cloud, Big Data, and Kafka
  • Zero downtime migration to cloud
  • Product quality management
  • Predictive equipment maintenance
  • Equipment effectiveness monitoring
  • Shop-floor process and capacity optimization
  • Predictive sourcing and supplier management
  • Inventory tracking and optimization

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