Streamlining Refinery Operations
Aspen Unified Scheduling™ offers a comprehensive solution for refining operations, allowing businesses to schedule refinery operations effectively to enhance production performance. By aligning schedules with optimal plans, companies can achieve higher margins, reduce emissions, ensure better quality, and enhance stability in their operations.
Enhanced Margin Optimization
With Aspen Unified Scheduling™, businesses can leverage industrial AI to create feasible schedules based on optimal plan results. By incorporating the valuable knowledge of schedulers and bridging the gap between plans and schedules, organizations can improve margins, reduce emissions, and save time through automation. This alignment between schedules and plans translates into increased operational efficiencies and cost savings.
Blending Optimization
The Aspen Refinery Multi-Blend Optimizer (MBO) within the Unified platform enables organizations to optimize blends across a longer time horizon. By maximizing refinery margins and reducing quality giveaway, companies can plan their blend stocks effectively up to one month in advance. This optimization ensures the efficient utilization of blend stocks and enhances overall operational efficiency.
Streamlined Model Development
Developing and implementing scheduling models is simplified with Aspen Unified Scheduling™. Users can seamlessly create scheduling models from existing Unified PIMS models and establish data and model linkages between planning and scheduling processes using model catalogs. This streamlined approach enhances the agility and accuracy of scheduling operations.
Operational Stability
Aspen Unified Scheduling™ empowers businesses to predict and communicate unit rates, yields, stream compositions, and inventory levels effectively. By providing real-time insights and enabling proactive decision-making, organizations can operate their refineries more stably and reliably. This enhanced operational stability leads to increased productivity and reduced downtime.