Case Study
Japanese Manufacturer Uses Dynamic Simulation to Increase Productivity with No Additional CAPEX
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.
Case Study
Mitsubishi Chemical Uses Aspen Hybrid Models to Detect and Avoid Product Quality Issues
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.
Case Study
Novozymes Uses Process Modeling to Optimize and Develop Biodiesel Processes
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.
Case Study
Japanese Pharmaceutical Company Improves Quality with Aspen Plus®
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.
Case Study
Corteva Uses Hybrid Models for More Accurate Predictions and Improved Maintenance
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.
Case Study
Hitachi Zosen Case Study
ACM is extremely powerful in reducing engineering time by up to 30% for new and novel processes.
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