Collaborative Demand Manager for Refining
Combine historical data and market intelligence to generate and manage accurate demand forecasts.
Aspen Collaborative Demand Manager for Refining empowers companies to combine historical data and market intelligence to generate and manage accurate forecasts.
Manage Historical Data
Incorporate Market Intelligence
Generate Accurate Forecasts
Visualize and Understand Demand Trends
Related Content
Aspen Collaborative Demand Manager for Refining
Aspen Collaborative Demand Manager for Refining empowers companies to combine historical data and market intelligence to generate and manage accurate forecasts.
Video
Driving Supply Chain Resiliency Through the Smart Enterprise and End-to-End Optimization
Faced with new levels of complexity, disruptions and pressure to meet customer demands, chemical supply chains have been tested as never before in recent years. In addition, there is the growing chall...
On-Demand Webinar
Transform Your Demand Forecasting and Planning Process Using Aspen Collaborative Demand Manager, Featuring J.M. Huber
J.M. Huber has been leveraging Aspen Collaborative Demand Manager™ to improve forecast accuracy for over 3 1/2 years. During this webinar, Deborah Morris, supply chain process improvement and demand p...
On-Demand Webinar
Shell Adopts Global Supply Chain Process to Increase Profitability and Drive an “Enterprise First” Strategy
After the company identified uncommon operating procedures at each of its many refineries — which led to inefficiencies and lower margins — Shell launched “Enterprise First,” an initiative designed to...
Case Study
AspenTech DataWorks Community
We're excited to present the AspenTech DataWorks Community—a dynamic platform designed to connect, educate and empower industrial professionals like never before.
Live Webinar
デジタルツインとスマートエンタープライズ
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...
White Paper
数字孪生与智能企业
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。
White Paper