Best Preventive Maintenance Software for SAP Analytics Cloud

Stop problems as they happen with real time visibility from the factory floor. Mingo Smart Factory is the easiest to use, fastest to implement manufacturing analytics system that you can’t outgrow. This productivity platform is a plug-and-play solution that seamlessly works on top of your current hardware. Mingo is a manufacturing productivity and analytics tool that gives real-time visibility to the factory floor. It helps to reduce downtime, improve on time delivery and increase profitability for manufacturing companies. Mingo empowers manufacturers with analytics and manufacturing productivity software to start small, think big and move fast. It's not just software - Mingo includes sensors that will bring older machines into the 21st century. Mingo is the digital toolkit you need to reduce downtime, real time visibility, replace Excel, unlock capacity and improve OEE. Use Mingo to reduce waste and improve efficiency, as well as drive your next phase in business growth. All this from one platform. It's so efficient you'll be amazed how you managed your factory without it.

The Cherrywork® Predictive Asset Maintenance Application is designed to lower, streamline, and enhance the costs associated with asset lifecycles at every stage, from initial investment planning and network configuration to procurement, installation, operational management, and eventual disposal or replacement. This innovative tool plays a crucial role in identifying unforeseen equipment failures that could jeopardize customer satisfaction and overall reliability. Clients have an expectation for advance notice regarding planned outages, allowing them to manage their consumption effectively. By leveraging this application, users can proactively maintain their assets, thereby avoiding potential penalties. It harnesses historical data from a variety of sources to create precise and verifiable predictive models, enabling the generation of forecasts and risk assessments. Additionally, the application combines data from online monitoring systems, weather forecasts, and various non-operational information such as operational guidelines, equipment specifications, and industry standards, providing a comprehensive approach to asset maintenance. Ultimately, this integration of diverse data sources enhances decision-making and operational efficiency.