![Improving Uptime and Asset Reliability with AI in Biomanufacturing - IoT ONE Case Study Improving Uptime and Asset Reliability with AI in Biomanufacturing - IoT ONE Case Study](/files/casestudy/63350dc4d5b25.png)
技术
- 分析与建模 - 机器学习
- 应用基础设施与中间件 - 事件驱动型应用
适用行业
- 教育
- 设备与机械
用例
- 预测性维护
- 时间敏感网络
服务
- 数据科学服务
- 系统集成
客户
未披露
关于客户
财富 500 强生物技术公司
挑战
一家财富 500 强生物技术公司,拥有针对慢性和危及生命的疾病的广泛药物和诊断产品组合,将利用人工智能/机器学习解决方案设定战略重点,以提高制造资产的可靠性并优化维护成本。
然而,现场操作员被警报淹没了,这些警报只捕获了一小部分故障,并且只在故障事件发生前提供了几分钟的提前期。由于意外的离心机故障,由于操作中断和产品被丢弃,损失了数百万美元。
该公司正在寻找一种支持 AI 的解决方案,该解决方案可以更准确地预测即将发生的离心机故障,并缩短交货时间,以减少计划外停机时间和维护成本。
解决方案
在 12 周内,C3 AI 团队与生物技术公司的主题专家合作,配置了 C3 AI Reliability 应用程序,以监控和预测 2 个制造厂的 3 台离心机即将发生的故障。
借助 C3 AI Reliability,这家生物技术公司可以预测 93% 的即将发生的故障,采取预防措施,提前 48 倍的时间,将误报减少 80%,通过减少停机时间提高生产利润。
运营影响
数量效益
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