Statistical methods can be used to improve plant efficiency. Aspen Fidelis can help you make smart capital investment choices during plant design or expansion.

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This video is from the ARC Industry Forum 2020: Predictive Maintenance Fact and Fiction - Learnings from Real Implementations Workshop presented by Chris Williams, Director, Customer Success, Aspen Technology, Inc.

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Asset Performance Management (APM) technology, predictive and prescriptive analytics, and artificial intelligence (AI) can play an important role for the food and beverage processing industry. In fact, no other industry is better suited for an approach that provides more lead time for critical maintenance decisions.

多くの企業は、この変化する状況の中で、安全性、資産の健全性、排出量管理、廃棄物削減など、持続可能性の目標をビジネス目標に組み込んでいます。デジタルテクノロジーによって、ポリマー製造会社は、より大きなリターンを獲得し、新しいレベルの最適化を推進する機会を得ることができます。

In this changing landscape, many companies are incorporating sustainability targets into their business goals, including safety, asset integrity, emissions management and waste reduction. Digitalization technology can offer polymer manufacturing companies opportunities to gain higher returns and drive new levels of optimization.

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