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Nissan Manufactures Vehicles in 20 Countries
技术
- 分析与建模 - 预测分析
- 功能应用 - 计算机化维护管理系统 (CMMS)
适用行业
- 汽车
适用功能
- 商业运营
用例
- 预测性维护
服务
- 软件设计与工程服务
挑战
凭借丰富的传感器数据，但缺乏执行手动分析的熟练资源，Nissan 热衷于扩大使用数据和机器学习来影响维护的好处。 2016 年，它决定启动一项预测性维护计划，以将数千台不同机器的生产停机时间减少多达 50%。
Senseye 因其深厚的领域经验和跨站点扩展能力而被 Senseye 所吸引，这得益于其获得专利的人工智能技术。
客户
日产（全球）
关于客户
日产汽车在全球 20 个国家和地区生产汽车，包括日本、美国、俄罗斯和英国。 2020年全球汽车产量超过470万辆，产品和服务遍及190多个国家。
解决方案
5 年多来，在 Senseye 行业专家的支持下。日产已将其预测性维护能力扩展到其生产逍客、X-Trail、Leaf 和 Rogue 等车型的全球生产基地。
随着时间的推移，日产在其预测性维护之旅的采用和扩展方面已经变得自主。与 Senseye PdM Omniverse 一起提高用户技能，Nissan 工程师现在可以装载新机器并与其他独立于 Senseye 的企业软件集成。
运营影响
数量效益
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.
