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.

壳牌的制造业利润优化团队使用AspenTech解决方案优化其能源和石化业务，包括规划和调度应用程序。 在与AspenTech高度合作的全球项目中，壳牌成功地在云上部署了Aspen PIMS-AO，从而提高了利润率，改善了工作与生活的平衡，降低了IT成本。阅读本案例研究，了解如何在云中使用Aspen PIMS-AO提高利润率。

Repsol S.A. is a global energy and petrochemical company based in Madrid, Spain that operates three integrated petrochemical complexes, managed as a single hub. Repsol was looking for an end-to-end supply chain control tower that would provide economic and customer service trade-offs for planning across the entire chemicals value chain.

SABIC is a leading multinational manufacturing company, specializing in the manufacture of petrochemicals, chemicals, industrial polymers, fertilizers and metals. Energy efficiency is a key focus area for SABIC. To close the gap towards achieving 2025 goals, SABIC identified the need to quantify energy losses and execute actions to optimize operations while addressing daily plant challenges.

As part of an effort to drive reliability in its refinery operations, Saras turned to Aspen Mtell® prescriptive maintenance to improve equipment uptime and decrease maintenance costs.

Learn how this world leader in refining reduced planning runtime from 30 hours to 90 minutes, making the process 95% faster and allowing them to respond to market changes much faster.

See how Aspen Petroleum Scheduler and Aspen Refinery Multi-Blend Optimizer™ work together to help solve a refinery scheduling problem to realize a $0.10/bbl USD improvement in crude processed.

Learn how Qenos, an Austrailian ethylene manufacturer, used Aspen DMC3 to revamp a demethaniser controller with very limited resources and achieved a 5-10% increase in cold end throughput, a 40% reduction in variability in overhead methane, and a 20% reduction in tower dP.

Shell’s Manufacturing Margin Optimization team uses AspenTech solutions to optimize its energy and petrochemicals business, including planning and scheduling applications. In a highly collaborative global project with AspenTech, Shell successfully deployed Aspen PIMS-AO in the Cloud resulting in margin uplift, improved work-life balance and reduced IT costs. Read this case study to learn how you can improve margins with Aspen PIMS-AO in the Cloud.