Tata Steel Forges Supply Chain Connections With WebFOCUS and DataMigrator
公司规模
1,000+
地区
- Europe
国家
- Netherlands
- United Kingdom
产品
- WebFOCUS
- ReportCaster
- iWay DataMigrator
技术栈
- SAP
- Oracle
- ADABAS
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- 金属
适用功能
- 离散制造
- 物流运输
用例
- 库存管理
- 预测性维护
- 过程控制与优化
服务
- 数据科学服务
- 系统集成
关于客户
Tata Steel is one of the largest steel producers in the world and a leading supplier to construction, automotive, aerospace, packaging, rail, and engineering markets. The company operates in 26 countries, making it one of the world’s most geographically diversified steel producers. Tata Steel serves a wide range of markets including automotive, construction, energy, aerospace, and packaging. The company has a unique approach to running a lean manufacturing operation that is increasingly driven by analytics. Tata Steel espouses a manufacturing methodology called 'Theory of Constraints' that involves identifying limiting factors standing in the way of achieving production goals, and then systematically improving those constraints until they no longer pose a bottleneck.
挑战
Tata Steel, one of the world's largest steel producers, was facing a challenge in empowering its users with timely, comprehensive information on customer-order and steel-production processes. The data was drawn from various disparate sources including SAP, Oracle, and other systems. The company was following a manufacturing methodology called 'Theory of Constraints' which involved identifying limiting factors standing in the way of achieving production goals, and then systematically improving those constraints until they no longer posed a bottleneck. However, the company needed a way to identify these constraints that affect manufacturing efficiency. Furthermore, the company had many different reporting systems with little standardization, leading to multiple versions of the truth.
解决方案
Tata Steel decided to centralize analytics through interactive reports and InfoApps™ that leveraged near-real-time data as well as historical data from multiple information systems. The company used business intelligence (BI) and integration technology from Information Builders to identify the constraints that affect manufacturing efficiency. WebFOCUS analytics was at the heart of the broad-reaching effort to measure the operation on a point-by-point basis. An intranet-based BI application called RAPID was developed that drew information from a variety of data sources, including ABADAS, Oracle, CSC, Excel, SAP, and SAP BW to measure the manufacturing operation on a point-by-point basis. WebFOCUS allowed Tata Steel to centralize reporting via the corporate intranet, making it easier for people to analyze data and distribute reports. InfoApps™ encouraged self-service analyses, while parameterized reports enabled self-service inquiries.
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
Goldcorp: Internet of Things Enables the Mine of the Future
Goldcorp is committed to responsible mining practices and maintaining maximum safety for its workers. At the same time, the firm is constantly exploring ways to improve the efficiency of its operations, extend the life of its assets, and control costs. Goldcorp needed technology that can maximize production efficiency by tracking all mining operations, keep employees safe with remote operations and monitoring of hazardous work areas and control production costs through better asset and site management.
Case Study
KSP Steel Decentralized Control Room
While on-site in Pavlodar, Kazakhstan, the DAQRI team of Business Development and Solutions Architecture personnel worked closely with KSP Steel’s production leadership to understand the steel production process, operational challenges, and worker pain points.
Case Study
Bluescope Steel on Path to Digitally Transform Operations and IT
Increasing competition and fluctuations in the construction market prompted BlueScope Steel to look toward digital transformation of its four businesses, including modern core applications and IT infrastructure. BlueScope needed to modernize its infrastructure and adopt new technologies to improve operations and supply chain efficiency while maintaining and updating an aging application portfolio.
Case Study
RobotStudio Case Study: Benteler Automobiltechnik
Benteler has a small pipe business area for which they produce fuel lines and coolant lines made of aluminum for Porsche and other car manufacturers. One of the problems in production was that when Benteler added new products, production had too much downtime.
Case Study
Continuous Casting Machines in a Steel Factory
With a very broad range of applications, steel is an important material and has been developed into the most extensive alloy in the engineering world. Since delivering high quality is absolutely crucial for steel plants, ensuring maximum productivity and the best quality production are the keys to competitiveness in the steel industry. Additionally, working conditions in steel factories are not suitable for workers to stay in for long periods of time, so manufactures usually adopt various machines to complete the steel production processes. However, the precision of these machines is often overestimated and the lack of flexibility also makes supervisors unable to adjust operating procedures. A renowned steel factory in Asia planned to improve its Distributed Control System (DCS) of furnaces as well as addressing the problem of insufficient accuracy. However, most well-known international equipment suppliers can not provide a satisfactory solution and local maintenance because the project needed new technologies to more accurately control equipment operations. By implementing Advantech’s automated monitoring and control solution, steel factories can not only improve the manufacturing processes but can also allow users to add additional functions to the existing system so as to make sure the operation runs at high efficiency.
Case Study
Automated Predicitive Analytics For Steel/Metals Industry
Asset to be monitored: Wire Compactor that produces Steel RebarCustomer Faced The Following Challenges:Dependent upon machine uptime.Pressure cylinders within the compactor fail to control compression and speed causing problems in binding the coil.Equipment failure occurs in the final stage of production causing the entire line to stop, can you say bottleneck?Critical asset unequipped with sensors to produce data.
