Discover how Eldorado Brasil, a leading pulp producer, revolutionized their production processes with industrial AI. Seeking to optimize efficiency, reduce waste and minimize resource consumption, Eldorado used Aspen Hybrid Models, combining the power of AI with Aspen Plus® first principles modeling.

LG Chem increases capacity by 15% and saves energy through heat integration using Aspen Plus®, Aspen Energy Analyzer™ and Aspen Exchanger Design and Rating™.

Kaneka Corporation is a Japanese chemicals manufacturer, specializing in the production of polymers and resins. Recently, higher market demand for functional resin was resulting in significantly greater demand for one of Kaneka’s high-value products. The company needed to increase production quickly to meet the rising demand, and it wanted to do so without making any significant additional capital investment.

Mitsubishi Chemical Group Corporation, Japan’s largest chemical company, faced quality problems in the company's polymer manufacturing processes that could not be detected on time, resulting in impacts to production. Using Aspen Hybrid Models with Aspen Plus®, Mitsubishi Chemical Group Corporation had the opportunity to create a robust and performant model that accurately predicted quality issues and supported preventive actions.

Novozymes A/S, a global biotechnology company based in Denmark, was looking to support the development and optimization of biodiesel processes due to increasing biodiesel market demand, rising materials costs and more stringent industry regulations. Novozymes saw potential in combining AspenTech technology with its own unique design and processing expertise to more quickly identify new opportunities to increase profitability of biodiesel production processes.

This case study details the work done at the Universiti Malaysia Pahang to research oleochemical fractionation to how to make the process more sustainable, reducing process carbon footprint. The case study explores the AspenTech solutions implemented as well as the value created.

A 140-year-old global pharmaceutical company with headquarters in Japan adopted Aspen Plus to improve the synthesis of a new active pharmaceutical ingredient (API). Aspen Plus provided an in-depth understanding of a new API process leading to equipment improvements and optimized recipes that enabled development of a continuous process.

In this case study, learn how Corteva Agriscience, an American agricultural chemical and seed company, resolved their frequent reboiler shutdowns by using Aspen Hybrid Models™. By combining plant data and AI within an Aspen Plus® model, Corteva improved the heat transfer and duty predictions to provide guidance for a better maintenance strategy.

競争の激しい市場でビジネスを成長させるために、大阪に本社を置く化学品メーカーのダイセルは、特定の市場の需要を満たすために狭い分子量分布を持つポリマーを開発する必要がありました。この事例では、ダイセルがどのようにアスペンポリマーを使用してカスタムRAFT重合モデルを開発したかをご覧頂けます。このモデルにより、お客様はプロセス条件を最適化し、実験コストを削減できるようになりました。これにより、次の利点がもたらされました。

In order to grow its business in a highly competitive market, Daicel, a chemicals manufacturer headquartered in Osaka, needed to develop polymers with narrow molecular weight distributions to meet a specific market demand. Read how Daicel used Aspen Polymers to develop a custom RAFT polymerization model. This model enabled our customer to optimize process conditions and reduce experimental costs, which provided the following benefits: