Availability, Performance, & Quality
Values & Capabilities
Delivered by Manufacturing Experts
Track & Trace Genealogy
Overall Equipment Effectiveness
Overall Equipment Effectiveness (OEE) and Total Effective Equipment Performance (TEEP) are measures of performance in the domain of manufacturing. The critical KPIs that make up OEE are measured as the product of your manufacturing & assets’ Availability, Performance and Quality.
OEE gives a true reflection of how a manufacturing facility is performing and becomes a primary source of data to drive manufacturing excellence.
Monitoring and taking action on these metrics is one of the key differentiators between world-class manufacturers and everyone else.
The module comes with pre-configured reports and dashboards so that you can get started right away.
Implement in 2-4 weeks
The Rapid OEE solution will give you immediate insights into your assets’ Availability, Performance and Quality. Drill down capabilities into the key areas of OEE will help you identify issues, thus allowing you to be proactive in improving your factory’s output. 42Q Rapid OEE can be up and running in as little as 2-4 weeks, and you can easily add additional capabilities from the 42Q platform over time.
- Real-time machine efficiency information
- Manually or automatically collected data
- Reports and dashboards
Trusted Partner Of
Our Customers Deploy in as Little as 6 Weeks
Our deployment services team is certified in our RPM (Rapid Production Model) implementation methodology and will guide you through a timely and effective deployment of 42Q.
See How Our Customers are
Transforming Their Businesses
Weir Minerals Reduces Manufacturing Lead Times by up to 30%
Weir Minerals, a part of the Weir Group plc, is a global market leader in the supply of engineered solutions and aftermarket products to the mining industry. Their customers require fast order fulfillment lead times, which are met by manufacturing products as quickly as possible within their 12 core manufacturing plants.
42Q Enables Production Readiness to Double the Volume at Comet’s Penang Facility
Comet’s facility in Penang, Malaysia needed to double the production volume of matching networks within a period of six months. While the manufacturing process itself could support the increase, the manual data collection process had reached the limits of its capability. The company needed to increase efficiency, improve quality, enhance traceability and wanted a single source of truth for all manufacturing data. They decided to implement a Manufacturing Execution System (MES) and eliminate all spreadsheet and paper based processes. They also wanted the system to seamlessly integrate with their ERP system and a variety of manufacturing equipment.
Cloud MES Supports Sophisticated Automation in a High Speed, Highly-Regulated Manufacturing Environment
A global medical device manufacturer had been producing complex Class II medical devices for years, using 42Q as their MES. Now they faced the challenge of manufacturing high-volume Class III medical devices with complex, fully automated production lines. They feared that implementing advanced, high-volume automation using 42Q MES would require significant factory downtime. The new production lines required a high level of sophisticated automation and a manufacturing execution system that supported and seamlessly integrated with such systems.
Digital Factory Transformation with 35,000 Pieces of Manufacturing Equipment Connected in the Cloud
Sanmina manufactures 250 million products per year. More of a challenge is that there are over 200,000 different top-level assemblies produced each year for 700 different OEM customers with up to 20,000 forecast changes per week. The OEMs operate in diverse industries including telecommunications, enterprise computing & storage, industrial and clean technology. A significant amount of production is for medical, aerospace and automotive products with strict regulatory requirements. The existing on-premise MES required significant maintenance and upgrade effort from the IT and operations teams. It was also limited in its ability to manage supply chains beyond the walls of each factory, and was not well suited for factory automation and other IIoT initiatives.