Chemical manufacturers are facing a dual challenge with global demand increasing. On one hand, chemical production has to increase to address the growing demands of a growing global population. On the other hand, the industry is facing a climate and an environmental crisis.

世界中で、主要な組織が高度なデジタル技術を採用および実装しています。デジタルトランスフォーメーションの旅は、資産集約型産業、特にエネルギーおよび化学薬品ビジネスの性質を変えるでしょう。こうした状況下では、デジタルツイン（物理的な資産の仮想化されたコピーとその運用上の動作）が重要な役割を果たします。今日アスペンテックが描くデジタルツインの重要なコンセプトは、仮想データに対して洞察とアドバイスを提供するAIの力です。本ホワイトペーパーでは、これからのデジタルツイン戦略で重要になる鍵をご覧いただけます。

Whether particles are being formed, reduced in size, enlarged, participating in reactions, or just being separated from a fluid stream, ignoring or poorly modeling the solids processing steps may lead to lost opportunities, including cost reductions and quality improvements. The main challenges that arise when optimizing or troubleshooting a solids process include inefficient designs due to separate modeling of fluids and solids sections, overdesign of equipment, high-energy demands, reduced yields and quality variability. Modeling the solids section of a process is important for many common processes including specialty chemicals, agrochemicals, metals and mining, pharmaceuticals, biofuels and more. This paper describes the approach for incorporating granular solids and the corresponding solids processing steps when modeling processes.

Digitalization can play a crucial role in the sustainability of chemical companies by providing the visibility, analysis and insight needed to address the challenges inherent to meeting sustainability goals.

Across the globe, leading organizations are embracing and implementing advanced digital technologies and the industrial metaverse. This industrial digital transformation journey will change the nature of asset intensive industries, particularly the energy and chemicals businesses. In that context, digital twins — virtualized copies of physical assets and their operating behaviors — will play key roles.

在全球范围内，各领先组织正在接纳并实施先进的数字化技术。数字化转型之旅将改变资产密集型行业（尤其是能源和化工企业）的性质。在这种情况下，数字孪生（实物资产及其操作行为的虚拟副本）将发挥关键作用。对于今天我们创建的数字孪生，一个关键概念是人工智能在提供虚拟数据相关见解和建议方面的作用。

最近のGartnerの調査によると、製造業の回答者の85％が、スマート製造戦略に関連する最大の課題は他のサプライチェーン機能との統合であると報告しています。 本ホワイトペーパーでは、業界のリーダーがバリューチェーン全体を調整し、顧客中心、収益性、需要と供給の変化への対応を強化した事例をご紹介しております。

En todo el mundo, las organizaciones lideres están adaptando e implementado tecnologías digitales avanzadas. La travesía de transformación digital cambiará la naturaleza de las industrias intensivas de activos, particularmente los negocios de energía y químicos. En ese contexto, Digital Twin — (copias virtuales de activos físicos y sus comportamientos operativos) tendrán papeles clave. Para los gemelos digitales que creemos hoy, un concepto clave es la inteligencia artificial que proporciona información y asesoramiento sobre los datos virtuales. Descargue este White Paper para conocer sobre estas claves esenciales en su estrategia de digital twin:

According to recent Gartner research, 85% of manufacturing respondents reported that their biggest challenge related to smart manufacturing strategies is integration with other supply chain functions. Download this paper now to learn how Industry leaders are aligning the entire value chain to be more customer centric, more profitable, and more responsive to changes in supply and demand.

Whether it’s a pilot plant or a complex petrochemical plant, these facilities rarely run like a well-oiled machine. There are always unknown variable dependencies that are difficult to understand, and there’s substantial room for improvement. In many situations, optimization is not the focus for plants because there are issues with reliability and safety that take precedence. Does this sound familiar? The ability to simplify job tasks and boost efficiency will greatly enhance plant performance but also, make your job easier