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

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

Publication date: November 2019 (last update: October 2021)

The Virtual Andon on AWS solution simplifies the process of monitoring manufacturing workstations, devices, and events. This solution provides a scalable, digital 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.

The Virtual Andon on AWS solution 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 critical areas and work cells, or the entire facility.

  • Flexible management tools: Observer view to manage open issues and the ability to run reporting on issue resolution.

  • Customizable web interface: Configure events, root causes, and assignments to address issues immediately.

  • Multi-language support: The web interface supports seven languages (German, English, Spanish, French, Japanese, Korean, and simplified Chinese) for factory settings, communications, and data analysis.

This implementation guide discusses architectural considerations and configuration steps for deploying Virtual Andon on AWS 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.