技术
- 功能应用 - 车队管理系统 (FMS)
- 网络与连接 - 网关
适用行业
- 汽车
适用功能
- 维护
- 采购
用例
- 车队管理
- 车辆性能监测
服务
- 培训
关于客户
Fraikin Ltd 是英国商用车合同租赁和租赁解决方案的领先提供商。该公司拥有超过 5,000 辆车辆的车队,为 200 多家客户提供服务。 Fraikin 的目标不仅仅是为客户提供车辆;它致力于提供全面的车队管理解决方案,帮助客户优化其运营。为此,该公司正在寻找一种解决方案,能够提供有关车队管理各个方面的可行数据见解,包括里程、燃油效率、怠速率和车辆停机时间。
挑战
Fraikin Ltd 是英国最大的商用车合同租赁和租赁解决方案提供商之一,一直在寻求在市场上脱颖而出。该公司的目标是从单纯的车辆供应商发展成为全面的车队管理解决方案提供商。为了实现这一目标,Fraikin 需要一种方法来衡量和分析关键数据洞察,以帮助其 200 多家客户优化其车队运营。我们面临的挑战是找到一种解决方案,能够提供车队管理各个方面的可操作数据,包括里程、燃油效率、怠速率和车辆停机时间。该解决方案还需要易于安装且用户友好,对客户运营造成的干扰最小。
解决方案
Fraikin采用了Samsara的物联网解决方案,包括AI行车记录仪、资产网关、门禁监视器、环境监视器和车辆网关。这些设备安装到 Fraikin 的车队中,每辆车只需 15 分钟,比以前的设备缩短了 25 分钟。安装时间的缩短最大限度地减少了干扰,并创造了灵活性,可以根据客户的时间表轻松升级车辆。还为想要访问和分析实时转速数据的客户启用了远程行驶记录仪管理。为了确保易用性,Fraikin 提供了 20 分钟的在线培训课程以及可选的教学视频,使驾驶员能够快速熟悉新产品。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Monitoring of Pressure Pumps in Automotive Industry
A large German/American producer of auto parts uses high-pressure pumps to deburr machined parts as a part of its production and quality check process. They decided to monitor these pumps to make sure they work properly and that they can see any indications leading to a potential failure before it affects their process.