Set up a scalable Andon system and workflow to monitor manufacturing workstations and support the transition to predictive maintenance - Amazon Virtual Andon

Set up a scalable Andon system and workflow to monitor manufacturing workstations and support the transition to predictive maintenance

November 2019 (last update: July 2021)

The Amazon Virtual Andon solution simplifies the process of monitoring manufacturing workstations, devices, and events. This solution provides a scalable Andon system to help optimize processes, support the transition to predictive maintenance, and prevent future equipment issues. It also provides a workflow to help users monitor manufacturing workstations for an event, log the event, and then route the event to the correct engineer for resolution in real-time. This solution is fully customizable and helps users to update the solution in real-time as issues arise.

The Amazon Virtual Andon solution also deploys a web interface to help administrators to define their factory setup, site name, process type, event types for each process, and lists of workstations.

This solution offers the following features:

  • Scalable Andon system: Flexible integration to either critical areas of your factory or throughout the entire factory.

  • Customizable web interface: Configure events, root causes, and assignments to address issues in real-time.

  • Multi-language support: The web interface supports seven languages for factory settings, communications, and data analysis.

This implementation guide discusses architectural considerations and configuration steps for deploying Amazon Virtual Andon in the Amazon Web Services (AWS) Cloud. It includes links to an AWS CloudFormation template that launches and configures the AWS services required to deploy this solution using AWS best practices for security and availability.

The guide is intended for IT and operational infrastructure architects, administrators, and DevOps professionals who have practical experience with AWS IoT Core, and architecting in the AWS Cloud.