Solulever2023
commented
1 year ago We deliver unique Edge platform, industry-specific solutions and services that simplify the digital manufacturing transformations. We are passionate about bringing the power of ‘Data at Speed’ to manufacturing and about bringing ‘Beauty’ to manufacturing systems. We deliver the promise of digital manufacturing through ‘Continuous Value Realization Programs’ leveraging our Edge platform and solutions.
The importance of predictive maintenance in manufacturing to enhance overall equipment efficiency (OEE) and reduce unscheduled downtime. The core points highlighted in the text are as follows: Overall Equipment Efficiency (OEE) and Downtime: OEE is a critical metric for manufacturing process improvement, encompassing quality, performance, and availability. Unscheduled downtime leads to reduced OEE, necessitating manufacturing optimization to maintain high revenues. Predictive Maintenance through Real-Time Data: To prevent unscheduled downtime, real-time data on processes and equipment status is crucial. Predictive maintenance involves using this data to anticipate potential downtime causes and perform scheduled equipment maintenance to minimize costs and time wastages. Edge Analytics for Real-Time Monitoring: The text advocates for the adoption of edge computing and edge analytics, which involve collecting, processing, and storing data locally on edge devices attached to equipment. This enables informed decisions for continuous improvement, manufacturing optimization, and cost savings by reducing reliance on cloud services and bandwidth. Automatic Adjustments and Decision-Making: Edge devices' real-time capabilities can be used to make automatic production adjustments based on pre-determined algorithms. This functionality is further enhanced by facility managers' or equipment operators' informed decision-making. Benefits of Predictive Maintenance: Implementing predictive maintenance can significantly reduce breakdowns by up to 70%, increasing equipment uptime by 20%. Predictive maintenance goes beyond condition monitoring to predict failures before they occur, allowing for parallel maintenance without disrupting production. Power of Data: Predictive maintenance optimizes equipment continuously, preparing for and preventing impending failures. The global predictive maintenance market is projected to grow substantially due to Industry 4.0 initiatives aiming to reduce downtime. Choosing the Right Platform: While edge analytics are essential, selecting the right digital manufacturing platform is crucial. An Industry 4.0 platform like Brabo from Solulever is highlighted as a solution that facilitates smart manufacturing, seamlessly integrating OT-IT connectivity and supporting real-time decision-making through edge analytics. Smart Manufacturing and Informed Decision-Making: Smart manufacturing is achieved through reduced downtime and improved productivity enabled by instantaneous information from edge analytics. This results in well-informed decisions by operators.