AspenTech's Collaborative Demand Manager for Refining helps combine market intelligence and historical data to generate and manage accurate demand forecasts.

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Develop and transfer batch processes from lab to manufacturing by using the recipe as process mode.

ケノス社がAspen Plus®バッチモデリングを活用し、プロセスにおいてどのように利益を確保し、試運転、試作をほとんど行わず、顧客ニーズの変更に対応できたかをご説明しています。日本語の事例カタログです。

日本に本社を置き、創業から140年の歴史を誇るグローバル製薬会社がAspen Plusを導入して新規原薬（API）の合成を改善しました。同社は、創薬に重点を置きながら医薬品や医療機器の研究開発から製造、販売まで行っています。

金属・鉱業

Create process models on a solid foundation. Start your modeling efforts with confidence with the most up-to-date and comprehensive portfolio of physical property data.

Discover how to predict equipment breakdowns and perform prescriptive maintenance using a new approach to asset performance management. In this white paper, learn how nine early adopters of prescriptive analytics have reduced unplanned downtime and improved asset reliability. Download the paper to read real stories about the bottom-line results that have been achieved—in as little as 2 ½ weeks.

Traditional preventive maintenance alone cannot solve the problems of unexpected breakdowns. With asset performance management powered by low-touch machine learning, it’s now possible to extract value from decades of process, asset and maintenance data to optimize asset performance. In this white paper, learn how this disruptive technology deploys precise failure pattern recognition with very high accuracy to predict equipment breakdowns months in advance and advise on prescriptive maintenance. The paper also outlines five best practices for driving state-of-the-art reliability management to increase production and profitability.

Increase visibility and responsiveness to production problems through real-time monitoring of business metrics via dashboards, alertsand pattern matching.