汽车制造商提高产量
技术
- 分析与建模 - 边缘分析
- 分析与建模 - 过程分析
- 分析与建模 - 实时分析
适用行业
- 汽车
- 设备与机械
适用功能
- 流程制造
用例
- 工厂可见化与智能化
服务
- 数据科学服务
- 硬件设计与工程服务
- 软件设计与工程服务
- 系统集成
关于客户
微型电机的汽车零部件制造商
挑战
一家汽车零部件制造商面临着一条相对较新的自动化装配线导致生产力下降的问题——产量比装机容量低 43%；新厂，3年。工厂每周 6.5 天，每天 24 小时运行。
管理层正在预算由需求驱动的第二条装配线，但希望解决当前的生产力问题。
解决方案
Dataranya 在瓶颈机器上安装了一个非侵入式系统，以实时和远程跟踪工厂运营 24x7。
模式识别算法、自动化生产报告和给利益相关者的停机电话警报是部署的其他工具。
收集的数据
Asset Availability, Asset Utilization, Downtime, Idle Time, Production Efficiency
运营影响
数量效益
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