The Problem
Plan and re-plan daily routes that respect time windows, capacities, service times, breaks and traffic.
Handle late orders and disruptions without missing SLAs.
Cost of Electricity
Electricity is a major operating cost and rising.
Data centres used ~415 TWh in 2024 (~1.5% of global electricity) and are projected to approach ~945 TWh by 2030 [RA1].
Under-utilisation
One in four data centres typically run under 40% capacity, undermining energy performance.
Better placement and scheduling push utilisation up and idle power down [RA2].
The Problem
Sequence constrained jobs across machines or compute resources with set-ups and precedences.
Variability and breakdowns make static plans obsolete.
The Problem
Build rosters that cover demand, match skills, meet legal and fatigue limits, honour leave, and cope with last-minute absences and demand spikes.
Manual edits and static tools struggle when inputs change.
Why Optimisation Matters
Unstable or short-notice schedules are a strong predictor of higher employee turnover [R1].
Replacing staff is expensive. A recent benchmark puts the average total cost at ~33% of salary per leaver; for skilled or leadership roles it can be substantially higher [R2].
Studies demonstrate higher sales and labour productivity after stabilising schedules [R3].
References
Vehicle routing
Resource Allocation
Scheduling