This chart illustrates the projected hydrogen demand from (3 in this example) Hydrogen Refueling Stations (HRS) alongside the forecasted daily production fomr (one in this example) site over the 8-day scheduling horizon. Demand is shown as stacked columns, highlighting total daily consumption, while production is represented by a clear line for easy comparison.
This forecast, generated daily by Hyggle or provided by the customer, is provided here for visualisation / consistency check.
A compact KPI bar surfaces the most critical operational metrics at a glance, enabling dispatchers to assess fleet health and cost efficiency without leaving the main view.
The Gantt chart below provides a day-level view of all trailer operations across the 8-day horizon. Each row represents one trailer (in this example Y437, Y439, AK90, AK91, AK92); colored blocks map to operation types. The schedule is generated automatically everyday at 8am based on last retreive data.
You can drill in the detailed operation of a given trailer to further check the proposed schedule.
Easily distribute your optimized logistics schedules. Whether you need physical copies for field teams or digital data for third party systems, our platform ensures effortless export and printing capabilities.
Generate high-resolution PNG images of your schedule, perfect for clear printouts and visual sharing.
Export detailed schedule data in JSON format for seamless integration into third party logistics IT infrastructure.
Our system provides a robust framework for managing the parameters that govern schedule generation. By directly interacting with these active constraints, dispatchers can fine-tune the fleet's operation to meet evolving demands.
Adjust specific parameters, such as trailer availability, site operating hours, trailer max pressure, or delivery priorities, to reflect new operational requirements or unforeseen events.
Launch a fresh optimization run using the updated constraints. The system recalculates the most efficient logistics plan for the fleet in less than 5 minutes.
The newly generated optimal schedule automatically overrides the previous one, ensuring that only the most current and validated plan is active, protecting data consistency.
This iterative process allows for continuous adaptation and optimization, guaranteeing that all schedules adhere to the defined operational boundaries and business rules.
Real-time orchestration and intelligent scheduling for a trailer hydrogen logistics fleet (5 in this example) — optimized for reliability and cost across an 8-day rolling horizon.