Augmented Asset Performance And Planning

Descriptive, predictive, and prescriptive capabilities for enhanced asset monitoring and control.

Control Asset Performance.

Data is underutilized at terminals with many disconnected sources that could provide insights about operations outcomes. Because data is underutilized, data-driven evaluation on logistics processes is limited. Measuring asset performance is not straightforward, and identifying areas for improvement is challenging.

The Solution

NXP Terminals fuses data from disparate sources, such as TOS and ECS telemetry to provide precise and actionable information from terminal assets:

  • Real-time operations monitoring with alarms and notifications
  • Bottleneck predictions and corrective action prescriptions
  • Continuous improvement through what-if scenarios derived from assets performance track record data

Productivity & Utilization

Continuous Improvement

Maintenance Costs

Energy & Emissions

Learn from the Past while
Looking Ahead.

NXP Terminals enables learn-from-the-past and look-ahead instrumentation planners with prescriptive tools.

Identify Bottlenecks and Congestion at the Outset.

Fluctuations and changes are an innate part of planning with systematic learning from execution history. Planners gather disparate data and make decisions heavily influenced by intuition and past experience recall. Decision domains need to match in planning and execution to drive top productivity, throughput, and profitability. Identifying bottlenecks or congestion upfront as well as foreseen opportunities is challenging.

The Solution

NXP Terminals systematizes planning calculations, supporting data-driven decision making based on factors that
influence planning outcomes:

  • Workflows for discipline users with all processes under control, holistically
  • Problem anticipation before they occur with a simulation engine-based feedback loop between planning and execution
  • Enhanced continuous improvement using advanced data analytics and what-if scenario simulations evaluation

Process-driven Planning

Predictable Service Level

Bottlenecks Identification