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Honda's Predictive Analytics Revolution: Boosting Profitability and Efficiency
![Honda's Predictive Analytics Revolution: Boosting Profitability and Efficiency - IoT ONE Case Study Honda's Predictive Analytics Revolution: Boosting Profitability and Efficiency - IoT ONE Case Study](/files/casestudy/Predictive-Analytics-to-Shift-Profitability-Into-High-Gear.png)
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
适用行业
- 电网
- 设备与机械
适用功能
- 维护
- 产品研发
用例
- 现场人员安全管理
- 时间敏感网络
服务
- 数据科学服务
- 测试与认证
挑战
作为本田在世界上最大的轻型卡车生产工厂,阿拉巴马州本田制造公司 (HMA) 是本田 Passport SUV、Odyssey 小型货车、Pilot SUV、Ridgeline 卡车以及为其提供动力的 V-6 发动机的唯一生产商。在这家庞大的工厂,超过 4,500 名员工与复杂的机械车队合作,组装从引擎盖到轮毂盖的汽车、构建框架、喷漆车身,并在每辆车中复杂地放置数千个零件。
由于无法查看工厂丰富的数据源,阿拉巴马州的本田公司无法从装配车间的零件、设备和机器中获得洞察力,这迫使团队采取被动的方法进行故障排除。
客户
本田阿拉巴马
关于客户
阿拉巴马州本田制造公司是一家位于阿拉巴马州林肯的汽车工厂。它为本田在北美的销售生产汽车。生产于 2001 年 11 月 14 日开始,该工厂于 2010 年 9 月 3 日生产了第 200 万辆汽车。
解决方案
阿拉巴马州的本田制造公司建立了一种数据驱动的文化,为结果提供动力。
利用机器学习、物联网 (IoT) 和预测分析的力量,这个尖端的生产设施依靠 Splunk 将数据转化为行动——从预测机器的磨损到安全高效地生产 3,400 多台每年的车辆。
当问题确实出现时,可视化指标和上下文事件洞察有助于团队更加协作,将平均修复时间 (MTTR) 缩短 70%。
借助 Splunk,本田降低了能源消耗,让员工能够专注于更高层次的计划。
运营影响
数量效益
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