In this case study, learn how Braskem Idesa used Aspen ProMV™ to proactively identify and correct for conditions that historically led to high reactor fouling.

In the Pharma Times article “Working in Silos” AspenTech’s Justin Eames discusses the pitfalls of working in silos in the pharmaceutical industry and explains how AspenTech’s solutions can make an impact at speed using predictive analytics. Discover how to predict asset degradation and failure well in advance of an impending breakdown or disruption and gain the ability to make decisions that can not only minimize cost and disruption, but that can also protect public health by ensuring continuity and resulting quality of drug supply.

As all companies have been challenged by the current economic and health crisis, the successful recovery requires a new view toward future development and growth with metrics that consider broad and more long-term goals. Featured in Hydrocarbon Processing, AspenTech’s Paige Morse shares considerations for building future resiliency that center around digitalization.

The 2015 Paris Agreement and other international climate change accords have helped raise global awareness of the need for countries to take urgent action to combat climate change. As companies continue to focus on sustainability, a common theme is taking shape around the role of digitalization as a key enabler. In fact, a recent ARC Advisory Group survey revealed that 75% of respondents rated digital transformation as highly important for achieving sustainability goals.

2015年《巴黎协定》和其他国际气候变化协定有助于提高全球对各国需要采取紧急行动应对气候变化的认识。随着企业继续关注可持续性，围绕数字化作为关键推动因素的作用，一个共同的主题正在形成。事实上，ARC咨询集团最近的一项调查显示，75%的受访者认为数字化转型对于实现可持续发展目标非常重要。

For food and beverage companies, quality mishaps during production can mean more than a literal poor taste in a customer's mouth. In addition to the potential impact on consumer safety, quality lapses can slow down production and result in money down the drain.

Leaders often wonder, where do we apply digital technologies to the challenges in our business? How can we chart our success? This uncertainty is understandable considering the technology’s complexity and rapid evolution, but understanding and integrating artificial intelligence (AI) is increasingly critical to competitiveness in the chemical industry.

전세계적으로 시장 상황의 변동성과 불확실성, 복잡성과 모호함이 가중되고 있는 VUCA (Volatile, Uncertain, Complex and Ambiguous) 환경에서 기업들은 경쟁 우위를 확보하기 위해 Industry 4.0과 AI 등 새로운 기술들을 도입하고 있습니다. 이 백서에서 선도적인 기업들이 어떻게 디지털 엔터프라이즈를 뛰어 넘어, 진정한 의미의 미래형 스마트 엔터프라이즈로 거듭나고, 지속 가능한 운영 효율성을 달성할 수 있는지 확인해 보십시오.

Imagine a plant that is no longer at risk of a random shutdown. Imagine not worrying about losing a year’s worth of hard-fought optimization value in just two to three days due to a maintenance emergency. Through the science of maintenance, historical and real-time operational data combine to predict when a breakdown will occur with months — not just days — of advance notice.

A medida que las organizaciones en todo el mundo buscan la manera de prosperar en medio de condiciones de mercado volátiles, inciertas, complejas y ambiguas (VUCA por sus siglas en inglés), muchas recurren a las tecnologías de la Industria 4.0 y a las nuevas capacidades de IA para obtener una ventaja competitiva. Descargue este documento para aprender cómo los líderes del mañana crearán no solo la empresa digital, sino una empresa del futuro que sea verdaderamente inteligente, y de igual forma podrán alcanzar la excelencia operativa que será sostenible independientemente de las condiciones del mercado.