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Factory Operations Visibility & Intelligence

Visualizing factory operations data is a challenge for many manufacturers today. One of the IIoT initiatives some manufacturers are pursuing today is providing real-time visibility in factory operations and the health of machines. The goal is to improve manufacturing efficiency. The challenge is in combining and correlating diverse data sources that greatly vary in nature, origin, and life cycle. Factory Operations Visibility and Intelligence (FOVI) is designed to collect sensor data generated on the factory floor, production-equipment logs, production plans and statistics, operator information, and to integrate all this and other related information in the cloud. In this way, it can be used to bring visibility to production facilities, analyze and predict outcomes, and support better decisions for improvements.

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  • INDUSTRIES
  • Automotive
    Heavy Vehicle
  • FUNCTIONS
  • Discrete Manufacturing
  • CASE STUDIES
  • Fraunhofer IOSB: IIC - Smart Factory Web Testbed
    The Smart Factory Web aims to form a network of smart factories with flexible adaptation of production capabilities and sharing of resources and assets to improve order fulfillment. Key questions are: How can we connect factories to the Smart Factory Web and exchange data reliably? How can we provide the information securely at the right granularity to authorized partners? How can production capabilities be adapted quickly and efficiently in response to orders?
    relayr: Improving productivity and quality in Textiles
    VISIBILITY - Currently unable to see amount of power consumed per machine or plant; need to account for energy used per batch. WASTE - 10% of product fails quality standards, unable to identify point of failure (initial spinning, weaving, final processing, etc). INACCURACY - Acquiring OEE measurements and compiling them is a manual process, which lacks visibility into all parts of the production process and is error-prone. LACK OF INTEROPERABILITY - Outdated machinery still has long, effective lifespans but needs to connect to newer, digital assets
    Adaptive Wireless Solutions: Wireless Temperature Monitoring Increases Throughput
    The customer’s manufacturing process takes raw aluminum billets and uses a cold rolling process to produce rolled aluminum goods. A throughput bottleneck was identified at the cooling station as the existing temperature measurement process required the crane operator to climb down from the crane regularly and perform direct measurements on the rolls.
  • MARKET SIZE
  • The industrial control and factory automation market are expected to reach USD 269.5 billion by 2024 from USD 160.0 billion in 2018, at a CAGR of 9.08%.

    Source: markets and markets

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