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YAZAKI Europe Limited: Ensuring rapid, cost-efficient order fulfillment and quicker insights into business performance
技术
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - 数据库管理和存储
适用行业
- 汽车
适用功能
- 物流运输
- 采购
用例
- 补货预测
- 供应链可见性(SCV)
服务
- 系统集成
挑战
YAZAKI Europe 是一家领先的汽车供应商,专门为汽车制造商生产定制线束,在满足汽车行业当日交货需求方面面临挑战。该公司的持续增长影响了其分析绩效和完成日本总部月末合并和报告流程的能力。该公司需要消除物流中的延迟和手动处理,以确保极其高效的运营。该公司还需要增强其财务和控制部门的数据分析能力,以加快复杂财务报告的交付。
关于客户
YAZAKI Europe 是汽车行业的主要参与者,专门为汽车制造商生产定制线束。该公司在竞争激烈且充满活力的环境中运营,及时交付零件对于避免生产线延误造成高昂成本至关重要。当 YAZAKI Europe 收到订单时,零件通常会在当天制造、包装和发货。该公司在欧洲各地开展主要业务,在 51 个地点和 20 个国家/地区拥有超过 40,000 名员工。它是汽车行业的重要合作伙伴。
解决方案
为了提高其所有欧洲业务部门的生产力和简化流程,YAZAKI Europe 与 IBM 及其托管提供商 All for One Steeb(也是 IBM 业务合作伙伴)合作,以优化其 IT 环境并提高其 SAP 应用程序的性能。该公司部署了适用于 Linux、UNIX 和 Windows 的 IBM DB2,其配置经过调整,可实现任务关键型 SAP ERP 应用程序的最佳性能。为了提高其财务和控制部门的分析性能,YAZAKI Europe 在测试了另一家供应商的内存数据库解决方案后,在性能和 IT 成本方面没有产生令人信服的结果,因此决定利用带有 BLU Acceleration 的 IBM DB2。
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.