Download PDF
Nissan and Rescale: Innovation that Excites
Technology Category
- Platform as a Service (PaaS) - Connectivity Platforms
Applicable Industries
- Automotive
Applicable Functions
- Product Research & Development
Use Cases
- Predictive Maintenance
Services
- Cloud Planning, Design & Implementation Services
The Challenge
Nissan, a global full-line vehicle manufacturer, was facing challenges with its on-premise High Performance Computing (HPC) systems. The company was limited by fundamental aspects of on-premise computing, such as limited electric power, high total cost, and data center utilization challenges. Their on-premise HPC systems were constrained by the initial hardware and software specifications, were complex to operate, and struggled to handle high-demand (peak) loads. These inherent on-premise problems threatened Nissan's innovation, market leadership, agility, and time-to-market.
About The Customer
Nissan is a global full-line vehicle manufacturer that sells more than 60 models under the Nissan, INFINITI and Datsun brands. In fiscal year 2018, the company sold 5.52 million vehicles globally, generating revenue of 11.6 trillion yen. Nissan’s global headquarters in Yokohama, Japan, manages operations in six regions: Asia & Oceania; Africa, the Middle East & India; China; Europe; Latin America; and North America. The company has a strong focus on innovative modern vehicle design and development while implementing best-in-class engineering and IT business practices for digital transformation.
The Solution
To address these challenges, Nissan chose Rescale’s ScaleX Enterprise platform because it provides diverse and scalable HPC resources on a pay-per-use model, and an efficient global administration infrastructure. Rescale’s managed HPC platform converted Nissan’s complex stack of software, hardware, and infrastructure into a single, unified solution that remains agile in the fast-moving technology environment. Nissan’s engineers are able to access the latest technology selection through a single, unified solution and at virtually unlimited scale. This allowed Nissan to allocate the right resources at the right time, avoid over-provisioning and wasting resources, and avoid under-provisioning and creating product development delays.
Operational Impact
Quantitative Benefit
Related Case Studies.
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.
