Grande Produtora Europeia de Petroquímicos implementa software de Planejamento e Programação para Elastômeros e Estirenos
Saiba como um grande produtor químico europeu implementou o aspenONE Supply Chain Management, integrado ao sistema SAP ERP, e conseguiu reduzir os inventários em 20%, alcançar 97% nas entregas “on-time” e reduzir o número de transições de campanha em 20%.
Importante fábrica química europea implementa software de planeación y programación para elastómeros y estirénicos
Conozca cómo una importante fábrica química europea implementó aspenONE Supply Chain Management y la integró con su sistema ERP de SAP pudiendo así reducir sus inventarios en un 20%, alcanzar un 97% de precisión para entregas a tiempo y reducir el número de transiciones de campaña en un 20%.
日本の製薬会社がAspen Plus®で 品質改善を実現
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。
Multivariate Statistical Analysis Finds the Bad Actors in Out-of-Spec Batches
Learn how a large producer of synthetic rubber used Aspen ProMV to identify the cause of ongoing quality issues with its batch products. Download the case study to read how Aspen ProMV uncovered the variables that correlated most with batch quality, resolving production problems faster to limit losses.
Multivariate Statistical Analysis Finds the Bad Actors in Light Component Losses
This petrochemical company launched an Aspen ProMV™ pilot project to investigate light component losses that go to the bottom of a fractionation column and pressurize the downstream column. Using Aspen ProMV for continuous processes, a model was developed, and bad actors that are highly correlated to the light product loss were identified. Aspen ProMV’s optimization tool was also utilized to provide better operating conditions to reduce losses.
Multivariate Statistical Analysis Finds Cause of Quench Oil High-Viscosity Issue
One of the world's largest chemical, plastic and refining companies used Aspen ProMV to understand and resolve production problems caused by an ongoing quench oil high-viscosity issue. In this case study, learn how Aspen ProMV enabled the company to highlight the top process variables highly correlated with viscosity issues, and quickly guided process engineers to the underlying issue to limit losses.
셀프 옵티마이징 플랜트: 산업용 AI가 주도하는 자율 공장의 시대
오늘날의 VUCA (Volatility, Uncertainty, Complexity and Ambiguity), 즉 시장의 변동성과 불확실성, 복잡성, 모호성이 가중되고 있는 상황에서 기업들은 인공지능(AI) 기술과 자율 및 반자율 기술을 활용하여 새로운 차원의 안전성과 지속가능성, 수익성을 달성하는 방법을 모색하고 있습니다. 이는 셀프 옵티마이징 플랜트(Self-Optimizing Plant)를 향한 여정의 시작을 의미합니다.
自己最適化プラント: インダストリアルAIが支える、新時代の自律性
現在のVUCA環境において、新たなレベルの安全性、持続可能性、および収益性を実現する自律/半自律プロセスの開発のために、デジタライゼーションやAIに目を向ける企業が増えています。自己最適化プラントへのジャーニーはそこから始まります。自己最適化プラントがどのようにして以下のことを可能にするのか、是非このエグゼクティブブリーフでご覧ください。
自己最適化プラント:産業用AIが支える 新時代の自律性
Une Entreprise qui s'Auto-Optimise : Une Nouvelle Ère d'Autonomie, Propulsée par l'IA Industrielle
Alors que nous nous adaptons à la "nouvelle norme" de volatilité extrême, d'incertitude, de complexité et d'ambiguïté, les entreprises du monde entier reconnaissent la nécessité d'exploiter leurs actifs et leurs chaînes de distribution avec une plus grande résilience, flexibilité et agilité afin de pouvoir répondre aux conditions changeantes du marché.
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