The Proactive Adaptive Route Optimisation (PARO) is a systems approach to improve performance, cost, and sustainability within supply chains by leveraging advanced modelling and simulation capabilities, dynamic assumptions and a wide range of data inputs.
Proactive Adaptive Route Optimisation
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Scope of Optimization: PARO aims for a holistic approach by considering multiple dynamic forces affecting cost, schedule, and CO2 emissions, not solely focusing on weather conditions. Weather routing services, on the other hand, are primarily geared towards protecting owners and charterers from speed claims, with a secondary use to reduce fuel consumption and improve ETAs. PARO takes a broader view by integrating vessel characteristics, speed, routing, and metocean conditions.
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End-to-End Visibility: PARO provides end-to-end visibility across the supply chain, including not only vessel routing but also land-side route optimization. Weather routing typically concentrates on a single leg of the journey, specifically the ocean voyage.
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Proactive and Adaptive Nature: PARO is proactive and adaptive, anticipating changing conditions and schedules to dynamically re-route and reschedule operations. Weather routing may use weather forecasts to plan a route, but it is not dynamically re-routing based on a range of conditions and schedules.
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Dynamic Planning & Impact Modelling: PARO uses a dynamic planning and impact modelling hub that considers a range of questions, including "What’s Happening Now?", "What’s About to Happen?", and "What Might Happen, When, Where?". This is different from weather routing, which primarily considers current and forecast weather conditions.
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Integration of Multiple Models: PARO, as part of the Sentient Hubs platform, connects multiple disparate environmental models to solve complex problems. This enables PARO to factor in a wider range of parameters, not just weather, to achieve system-wide optimization. Weather routing uses weather models, but is not usually part of a larger system that includes models of other factors such as supply chain and logistics.
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Data-Driven and Transparent: PARO uses data compilation and audits of vessel specifications and historical performance, along with metocean and hydrodynamic modeling, and is scientifically calibrated and validated with 100% transparency . Weather routing often relies on weather forecasts and may not provide full transparency or consider historical data and performance.
Why Route Optimisation Matters.
In summary, while weather routing is a crucial aspect of vessel navigation and can inform some of PARO's calculations, PARO's capabilities extend beyond weather routing [1]. PARO aims to optimize not only for weather conditions but also for various factors such as cost, schedule, and CO2 emissions across the entire supply chain, using a proactive and adaptive approach. PARO also utilizes a wider range of models and data to achieve its objectives and integrates end-to-end optimization [6, 7].
