Today´s executives are faced with the complex challenge of maximizing profitability while meeting sustainability and corporate social responsibility (CSR) objectives. Using APM 4.0 to identify efficiencies across the organization can drive operational excellence, which in turn can lead to significant advancement of sustainability objectives.

These are challenging times for industrial companies as the world requires more energy but with a much lower carbon footprint.

The data generated during conceptual design and FEED are quickly becoming more strategic. From understanding emissions and energy use to layout and project costs, owners and their engineering firms are placing more emphasis on early design choices.

Los datos generados durante el diseño conceptual y FEED se están volviendo cada vez más importantes desde un punto de vista estratégico. Desde la comprensión de las emisiones y el uso de energía hasta una comprensión más completa del diseño y los costos del proyecto, los propietarios y sus empresas de ingeniería están poniendo más énfasis en la comprensión temprana de las opciones de diseño. Pero con la complejidad de los proyectos de diseño, el desarrollo de información que es tan importante a menudo puede ser lento, ineficiente y propenso a errores. Lo que se necesita es un proceso colaborativo más integral, respaldado por herramientas digitales que ayuden a fomentar una creciente sabiduría colectiva sobre el proyecto, a través de disciplinas y partes.

In today’s VUCA environment, organizations are turning to digitalization and Industrial AI to develop autonomous and semi-autonomous processes that enable new levels of safety, sustainability and profitability. This is where the journey to the Self-Optimizing Plant begins.

EPC firms that were already under stress from the COVID-related downturn are investing heavily in digitalization initiatives. According to a June 2020 McKinsey report, EPCs have an opportunity to double their profitability by embracing a handful of “emerging disruptors.” One of these disruptors, digitalization of processes, is within reach for most EPCs and aligns with efforts and initiatives already underway at many firms.

今日の前例のない労働力の変化と市場の変動性に照らして、企業は、ビジネスの成果を導き出し、社会との意義ある関連性を維持するために、産業用AIアプリケーションの機能を必要としています。さらに重要なことに、オペレーショナルエクセレンスの推進力としてのインダストリアルAIは、競争に必要な新しいビジネスモデルへの移行を促進します。

In light of today’s unprecedented workforce shifts and market volatility, industrial organizations need the capabilities from Industrial AI applications to derive business outcomes and remain relevant. More importantly, Industrial AI as a driver of operational excellence will facilitate the transition to the new business models that will be necessary to compete.

От руководящих органов до производственных цехов, от удаленных месторождений до комплексных цепочек снабжений, от ветеранов отраслей до венчурных инвесторов нового века - искусственный интеллект (ИИ) является одним из наиболее актуальных направлений бизнеса.

In today’s VUCA environment, organizations are turning to digitalization and Industrial AI to develop autonomous and semi-autonomous processes that enable new levels of safety, sustainability and profitability. This is where the journey to the Self-Optimizing Plant begins.