How Aveva Insights is Used in Schneider Electric's Batam Factory

June 30, 2020
Learn how Aveva Insights software is used to monitor machine operating parameters and send alerts if operating parameters are not within set levels. Also see how machines are retrofitted for IIoT with plug-and-play sensors and edge computing technology.

As part of Schneider Electric’s InnovationTalks, a virtual event held in June 2020, the company featured a tour of its factory in Batam, Indonesia. The factory produces a number of products for Schneider Electric technologies, including controllers, drives, relays, and contactors.

According to Budi Sulistiarto, digital transformation leader at the Batam factory, this facility began its digital transformation process in 2017. In 2019, the factory was recognized by the World Economic Forum as a Lighthouse factory, indicating recognition of its successful application of advanced automation technologies to drive operational and environmental impacts.

In this video, Sulistiarto shows how Aveva Insights software is used to monitor machine operating parameters, set minimum and maximum control levels for each machine, and receive alerts if operating parameters are not within set levels. Insights delivered by the software enable preventative maintenance and reduce quality defects.

Sulistiarto also shows how machines are retrofitted for IoT connectivity with Aveva Insights through the addition of plug-and-play IoT sensors and edge computing technologies.

According to Schneider Electric, the Batam factory has deployed a range of Industrial Internet of Things (IIoT) technologies, including smart sensors, alarm prediction management, site benchmarking, and augmented reality to create an empowered workforce that has visibility into operations, maintenance, and energy use. 

Using these technologies, the factory reported a 44% reduction in machine downtime in one year. In addition, the factory’s use of digital planning and scheduling tools to provide an end-to-end view of demand, align partners, and engage workers led to a 40% improvement in on-time delivery. 

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