公司规模
Large Corporate
地区
- Europe
国家
- United Kingdom
产品
- IBM® zIIP™ Enablement powered by Natural
- Adabas Cluster Services powered by Adabas
- Event Replication powered by Adabas
- Eclipse-based Development powered by NaturalONE
- Infrastructure Monitoring powered by webMethods Optimize
技术栈
- IBM Mainframe
- Adabas & Natural
- Eclipse
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
技术
- 应用基础设施与中间件 - 数据库管理和存储
- 应用基础设施与中间件 - 中间件、SDK 和库
适用行业
- 汽车
适用功能
- 离散制造
- 质量保证
用例
- 自动化制造系统
- 预测性维护
服务
- 系统集成
- 软件设计与工程服务
关于客户
Nissan Motor Co., Ltd., is one of the world’s largest automobile manufacturers, with production facilities around the globe. In 1986, the company opened a plant in the United Kingdom, operated by Nissan Motor Manufacturing UK, a pan-European service provider to Nissan Europe. Today, the plant builds electric and other high-end cars, and is one of the most productive facilities of its kind in Europe. Its 6,700 employees produce over 500,000 vehicles per year, gaining it wide recognition as a benchmark in the automotive industry.
挑战
Nissan Europe, a pan-European service provider to Nissan Europe, faced several challenges. The company was dealing with competition from the East, reliance on manual processes, and an aging internal mainframe architecture. The company had relied on Software AG’s Adabas & Natural for database management and application development since it opened its flagship plant in the U.K. in the 1980s. However, with continuous improvements in efficiency and speed, the partnership has helped Nissan Europe develop an entire suite of mission-critical applications that run on Adabas & Natural, touching everything from manufacturing, to purchasing, to sales and marketing. With zero software failures in the past 30 years, Nissan Europe returned to Software AG for the next step in the evolution of its Adabas & Natural systems: committing to a new efficiency-boosting, feature-enhancing, cost-reducing project running through 2022.
解决方案
For the coming phase of an IT transformation running through 2022, Nissan Europe is implementing a series of five Software AG products aimed at increasing automation, improving manufacturing quality, and reducing delays and manufacturing costs. This is allowing Nissan Europe to get the absolute most out of its current Adabas & Natural architecture, while keeping an eye to the future. The products include zIIP Enabler for Natural, Adabas Cluster Services, Adabas Event Replicator, Optimize for Infrastructure, and NaturalONE. These solutions are designed to boost performance, ensure continuity, automate real-time data processing, monitor infrastructure components, and modernize development tools.
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.