下载PDF
Bluescope Steel on Path to Digitally Transform Operations and IT
技术
- 分析与建模 - 大数据分析
- 基础设施即服务 (IaaS) - 私有云
适用行业
- 金属
适用功能
- 销售与市场营销
挑战
建筑市场日益激烈的竞争和波动促使博思格钢铁着眼于其四项业务的数字化转型，包括现代核心应用程序和 IT 基础设施。 BlueScope 需要对其基础设施进行现代化改造并采用新技术来提高运营和供应链效率，同时维护和更新老化的应用程序组合。
客户
博思格钢铁
关于客户
博思格钢铁在三大洲拥有重要的制造业务，约有 16,000 名员工为建筑和施工制造行业领先的金属涂层和涂漆钢产品。
解决方案
CSC 为 Bluescope 提供应用支持服务，包括利用 CSC 的 BizCloud 私有云解决方案提供的大数据和分析平台支持服务。通过部署服务模型，CSC 帮助增加了 BlueScope 业务部门之间的协作量。在 BlueScope 的组织中实施面向服务的模型将增加对端到端服务交付的关注，因为它们整合了四个不同的业务部门。软件组件 - BizCloud 私有云解决方案
收集的数据
Communication Performance, Logistics Cost, Operation Performance, Security and access, Supply Chain Optimization
运营影响
数量效益
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
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.
Case Study
Mueller moves from preventive to predictive maintenance
Recognizing the recent advances in and affordability of predictive maintenance (PdM), the company decided to implement a PdM program in one of its facilities on a trial basis. Anticipating positive results, we hope to gradually pursue wider implementation.
