公司规模
Large Corporate
地区
- Europe
国家
- Sweden
产品
- IBM Maximo Asset Management
技术栈
- IBM Maximo Scheduler tool
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
技术
- 功能应用 - 企业资产管理系统 (EAM)
适用行业
- 金属
适用功能
- 维护
用例
- 预测性维护
服务
- 系统集成
关于客户
Outokumpu 是一家领先的钢铁产品制造商,总部位于芬兰埃斯波。该公司位于瑞典阿维斯塔的工厂以生产用于海上石油和天然气行业的特殊等级不锈钢而闻名。该工厂拥有约 700 名员工,将废钢回收成专用等级的不锈钢产品。这些产品旨在抵御腐蚀性海水和极端天气条件,非常适合用于海上石油和天然气行业。该工厂的生产流程需要高效且不间断,以满足其苛刻客户的期望,这些客户数百万美元的海上建设项目取决于 Outokumpu 能否在合适的时间提供合适的材料。
挑战
领先的钢铁产品制造商 Outokumpu 意识到,通过将其生产线机器的维护从被动维护转变为主动维护,可以提高其 Avesta 钢厂的可用性、效率、质量和安全性。该钢厂以其为海上石油和天然气行业生产的特殊等级的不锈钢而闻名。要提供能够承受腐蚀性海水和极端天气条件的产品,需要对生产过程进行非常精确的控制。同时,生产需要高效和不间断,以满足苛刻客户的期望,这些客户数百万美元的海上建设项目取决于 Outokumpu 能否在正确的时间提供正确的材料。该公司的首要任务始终是确保所有员工在工厂工作时的安全。
解决方案
Outokumpu 与 IBM 业务合作伙伴 Enfo Framsteg 合作,设计了一种新的维护流程,将每台机器视为一个个体,从而提高了可用性和性能。20 多年来,该公司一直使用 IBM Maximo Asset Management 软件来组织 Avesta 的维护流程。Enfo Framsteg 帮助 Outokumpu 重新配置了 Maximo 环境,以充分利用 Maximo Scheduler 工具,事实证明,该工具在重新设计公司的维护流程方面具有重要优势。新流程使 Outokumpu 能够更好地提前规划,并在开始维护工作之前准备好所有正确的资源。公司可以更明智地只订购所需的零件,而不是购买和储存生产线机器的备件以备不时之需,从而节省大量成本。
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.