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.

LOTTE Advanced Materials was looking for a tool that would convert data into value to drive operational excellence. In this ARC Advisory Group article, read how LOTTE chose AspenTech’s aspenONE Manufacturing Execution Systems (MES) software to transform digitally, and build a robust data analytics platform. Now, LOTTE is able to lock in a visionary software implementation roadmap to optimize business processes and operations.

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。

What is a Digital Twin and what does it do? View this infographic to learn what a digital twin is and how it provides important insight on system performance enabling companies to optimize operations and reduce costs by maximizing uptime with real-time recommendations.

Possessing the data is one thing; however, understanding your data and its value is something different. Join ARC Advisory Group and AspenTech for a webinar to learn how to leverage your data using transformational technologies to drive operational excellence with manufacturing execution systems (MES). Janice Abel of ARC will lead an interactive discussion around key technology trends, benefits and innovations and what’s important in the process industries.

Widely used in various chemical manufacturing processes, inferential property models enable improved control by providing estimated properties in real-time. During this webinar, one of Dow Chemical’s APC engineers will discuss the practical application of inferential models as feed forwards in Aspen DMCplus® to manage the inventory of a reactor where the composition and flows into the recycle feed change over time.

During this free webinar, Michael Reifer, leader of Momentive’s Sales, Inventory and Operations Planning (SIOP) Center of Excellence, and Aaron Hunt, SCM senior technical manager, will discuss how the company’s silicone and quartz business units excel at detailed scheduling and finite capacity optimization in both manufacturing and stock transfer scheduling. Additionally, they will share how Momentive’s SIOP Center of Excellence plays a key role in supporting sustainable talent and process development.

Aspen Polymersを活用し逐次重合モデルを構築できます。実験データから反応速度パラメータを回帰し、バッチ/連続重合シミュレーションでポリマー物性を予測します。 モデルを活用することで、実験回数の削減、運転条件の最適化検討が可能となります。

While most chemical companies have sustainability initiatives in place with varying reliance on digital technologies to achieve these goals, challenges remain. What are the key enablers to eliminate emissions and waste, extend material use and regenerate natural systems? How do new innovations accelerate this effort?