Reduce unplanned downtime and enhance plant productivity while ensuring product quality and safety with optimal machine health.
In the highly regulated ecosystem of the pharmaceutical and healthcare industries, product quality and safety take precedence. With 24x7 operations, these plants cannot afford limited asset visibility, sudden machine failures, and unplanned downtimes. Compromised machine health not only impacts net productivity but also poses risks of hazardous leakages and catastrophic accidents.
To maintain a sustainable competitive advantage, pharma manufacturing plants must adopt a pragmatic and analytical approach towards maintenance. Embracing the Predictive Maintenance model allows for the achievement of overall plant reliability objectives. By proactively identifying and addressing maintenance needs, these industries can enhance productivity, ensure safety, and uphold their reputation for delivering high-quality products to consumers.
Preventative maintenance models are no longer sufficient to ensure plant reliability in Pharma and healthcare manufacturing. A decisive transition to predictive maintenance, incorporating AI-enabled monitoring and reliability solutions, is imperative. A leading Pharma manufacturer achieved significant savings of 12 hours in production downtime through the targeted implementation of plant reliability solutions.
Attain digital reliability through predictive analytics. Implement responsive maintenance strategies using real-time insights on asset performance and machine health.
Enable real-time machine condition monitoring and early diagnosis of potential equipment faults to prevent production halts. Utilize real-time data and solution-based insights to facilitate maintenance planning and machine upkeep.
Proactively resolve machine malfunctions and process inconsistencies to reduce unplanned production downtime. Organize informed and need based maintenance events to sustainably maintain plant productivity.
Enhance asset reliability by increasing the visibility of mission-critical equipment and deploying digital twin technology. Optimize engaged assets for higher productivity while maintaining a safer and quality-centric production environment.
A new way to digitize you assets.
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