运营商与 LogicMonitor 合作，实现统一可观测性
公司规模
1,000+
地区
- America
国家
- United States
产品
- LM Envision
技术栈
- Active Directory
- AWS AppStream
实施规模
- Enterprise-wide Deployment
影响指标
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 平台即服务 (PaaS) - 连接平台
适用功能
- 离散制造
- 维护
用例
- 预测性维护
- 实时定位系统 (RTLS)
服务
- 数据科学服务
- 系统集成
关于客户
开利全球公司是全球领先的健康、安全和可持续建筑和冷链解决方案提供商。该公司业务涉及三大领域，包括暖通空调、消防和安防以及制冷。开利拥有 80 多个品牌，业务遍布 160 个国家。该公司拥有 56,000 名员工，并参与了多起并购。开利的基础设施是新旧混合的，因为他们最近从前母公司分离出来。
挑战
Carrier Global Corporation 是全球领先的建筑和冷链解决方案提供商，其混合基础设施面临挑战。该公司最近从前母公司分离出来，并参与了多次并购。这导致其环境中混合了新旧架构，包括需要移除的工厂中的旧架构。Carrier 希望提高其不断增长的混合环境的可见性，缩短平均修复时间 (MTTR)，并通过自动化主动监控其基础设施，以尽快发现和解决问题。
解决方案
Carrier 与 LogicMonitor 合作实施了统一的可观察性平台 LM Envision。该平台为 Carrier 提供了一站式视图，可以查看其庞大且不断发展的基础设施，从而提高了可见性和主动监控能力，以便快速解决问题。例如，当 Microsoft 发布一个补丁暂时破坏了 Carrier 的 Active Directory 环境时，他们能够利用 LogicMonitor 通过开箱即用的 Active Directory 仪表板为其环境带来的可见性，帮助更快地获得控制权并领先于问题发生。LogicMonitor 的内置仪表板和创建自定义复杂数据源的能力也有助于减少他们花在找出问题发生位置上的时间。
运营影响
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
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
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
Leading Tools Manufacturer Transforms Operations with IoT
Stanley Black & Decker required transparency of real-time overall equipment effectiveness and line productivity to reduce production line change over time.The goal was to to improve production to schedule, reduce actual labor costs and understanding the effects of shift changes and resource shifts from line to line.
Case Study
Asset Management and Predictive Maintenance
The customer prides itself on excellent engineering and customer centric philosophy, allowing its customer’s minds to be at ease and not worry about machine failure. They can easily deliver the excellent maintenance services to their customers, but there are some processes that can be automated to deliver less downtime for the customer and more efficient maintenance schedules.
