Compare ABB Ability SafetyInsight vs. Plex Asset Performance Management

ABB Ability™ SafetyInsight™ represents a modern digital strategy for managing process safety within industries that face significant hazards. This innovative solution transforms early Engineering Technology (ET) data into a process safety digital twin, allowing for a direct comparison with current plant operations. By leveraging agnostic connectivity, it gathers operational data from both IT and OT sources seamlessly. The ET information enriches the context of the IT/OT data through the process safety digital twin, ensuring that the right information reaches the appropriate individuals precisely when they need it to make well-informed decisions. Comprising several distinct modules, ABB Ability™ SafetyInsight™ creates an all-encompassing digital suite of applications. This approach not only enhances efficiency across the organization but also establishes a solid foundation for safety, effectively managing operational risks and pinpointing areas ripe for improvement, ultimately leading to a reduction in overall safety costs. With its comprehensive features, the solution empowers businesses to achieve higher safety standards while maintaining operational excellence.

Actively oversee the health of machines and plants to maintain maximum uptime, productivity, and address maintenance requirements effectively. Utilize the advantages of analytics along with Industrial IoT technologies to achieve a more comprehensive understanding of equipment on the plant floor, facilitating predictive maintenance capabilities. Keeping an eye on machine health is essential to minimize production interruptions that stem from unexpected failures and outages. By promoting predictive maintenance, the time required to assess machine health issues can be significantly reduced, while also enhancing the traceability of historical data. Integrate IT and OT data into a unified viewpoint to bridge the gap between plant floor information and MES data, thereby enabling more informed decision-making processes. Employ real-time data gathering and integrated analytics to monitor live data concerning machine health and performance, assess machines against optimal conditions, and issue early warnings about potential disruptions, which in turn helps in lowering overtime labor costs, scrap rates, emergency maintenance expenses, and adverse impacts on profit and loss. This comprehensive approach not only enhances operational efficiency but also fosters a culture of proactive management across the manufacturing process.