Technology Category
- Application Infrastructure & Middleware - Database Management & Storage
- Infrastructure as a Service (IaaS) - Cloud Databases
Applicable Industries
- Automotive
- Transportation
Applicable Functions
- Logistics & Transportation
Use Cases
- Material Handling Automation
- Picking, Sorting & Positioning
Services
- System Integration
About The Customer
Tsubakimoto Chain Co. is a global machinery manufacturer based in Osaka, Japan. Founded in 1917, the company has expanded its business globally on four core pillars: chains, precision machinery, automotive parts, and material handling systems. The company operates 81 group companies in 26 countries worldwide, with a total number of employees of 8,818 as of March 31st, 2019. The company's net sales are about ¥238,515 million annually. One of Tsubakimoto Chain’s core businesses are “Mate-Han” systems utilizing the chain technology that is the origin of their company name. These systems refer to efficient operations and structures for the movement and transport of objects at manufacturing and logistics sites.
The Challenge
Tsubakimoto Chain Co., a global machinery manufacturer based in Japan, was faced with the challenge of creating a registration and identification database capable of tracking and sorting up to 10,000 items per hour on their high-speed conveyor belt sorting systems. The company needed a solution that could meet their millisecond-level response times for database reads and writes. The challenge was not only to find a database that could handle the high volume of items but also to ensure that it could maintain its speed and efficiency over time. The company also needed a solution that could seamlessly integrate with their existing systems and processes.
The Solution
In response to this challenge, Tsubakimoto tested several different databases and ultimately selected Btrieve, later reselecting PSQL (its successor), and now Zen. These databases were chosen for their ability to meet the company's millisecond-level response times for database reads and writes. The company has been using Actian Zen for 25 years to support their real-time, embedded OEM data management requirements. As the competition has continued to change, they have continued to re-evaluate and reselect Actian Zen. The company has found that Actian Zen offers superior processing speed compared to other databases, making it the ideal solution for their high-speed sorting systems.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
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
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.