Are you ready to unlock the game-changing value that asset optimization can deliver? With narrower margins and no room for error, manufacturing leaders are embracing the need for asset optimization. Through asset optimization, companies have increased throughput, significantly reduced costs by millions of dollars, and increased productivity. Don’t be out-maneuvered – join the thousands of companies who have recognized the benefit of implementing the asset optimization vision into their operations.

No ambiente extremo (VUCA) de hoje em dia, as organizações estão se voltando para a digitalização e a inteligência artificicla (IA) para desenvolver processos autônomos e smiautonômos, que permitem novos níveis de segurança, sustentabilidade e lucratividade. É aqui que começa a jornada para a Planta Auto Otimizada.

Engineering, Procurement and Construction firms (EPCs) are facing the challenge of fewer and smaller projects out for bid, and win rates are critical for their future success. This executive brief provides the winning combination of industry best practices and software that will allow you to create accurate bids, reduce risk and be more responsive to the changing needs of your customers.

在资产密集型行业，工业物联网和数字化技术正在开启通往更高的可靠性和盈利率的大门。幸运的是，我们不需要通过全面数字转型，就能把握住这样的机会。这篇白皮书探讨了如何利用这些技术来创造最大价值，以及开启工业物联网和数字化技术之路的三大成功要素。

正是40年的工业技术与数字解决方案的融合，以及当今工业4.0技术的能力，开启新范例。这种范例将软件中编码的物理和化学原理与先进技术的分析功能相融合，从而可以以全面重新审视卓越运营的上界。

Learn how Unified Production Optimization can improve margins by vertically integrating planning, scheduling, and advanced process control in a closed loop.

View this infographic to see how prescriptive maintenance early adopters are reducing downtime and improving reliability – with results in as little as 2 ½ weeks.

View this infographic to see how prescriptive maintenance early adopters are reducing downtime and improving reliability – with results in as little as 2 ½ weeks.

从战略上利用数据和技术来快速获取节省并增加利润来创建未来的矿山。查看此信息图，了解建议的步骤，以在数字矿山之路上将数据转化为价值。

Why is having an accurate planning model important? It demonstrates visually how a 1% error can cost millions.