Optimisation
Configure optimisation profiles to control automated scheduling behaviour.
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Configure optimisation profiles to control automated scheduling behaviour.
The Scheduler's AI-powered optimiser automatically creates production schedules by balancing competing objectives. Optimisation profiles control how the algorithm prioritises changeover time, total completion time, and on-time delivery.
Scheduler > Data Templates > select a template > Optimisation
TilliT provides three built-in optimisation profiles:
Balanced
Equal weighting across all objectives
Detailed
Longer optimisation run time for more thorough results
Efficient
Shorter run time for faster results

Click the + button.
Configure the profile settings.

The three weights are competing objectives that you balance when optimising. Weights work relative to each other — for example, setting changeover weight to 2.0 and makespan weight to 1.0 means changeovers are twice as important.
Changeover Weight
Controls the priority for minimising equipment changeovers. Higher (>1.0): algorithm groups similar products to reduce changeovers. Lower (<1.0): algorithm is more flexible about changeovers in favour of other objectives. Best for environments where changeovers are costly or time-consuming
Makespan Weight
Controls the priority for minimising total completion time. Higher (>1.0): algorithm prioritises finishing all work as quickly as possible. Lower (<1.0): algorithm may accept longer completion times to optimise other objectives. Best when maximising throughput is critical
Overdue Weight
Controls the penalty for orders that miss their due dates. Higher (>1.0): algorithm strongly avoids late deliveries. Lower (<1.0): algorithm may allow some late deliveries for better overall efficiency. Best when on-time delivery is paramount
Once configured, use optimisation profiles from the scheduling view:
Open a scenario and navigate to the scheduling screen.
Click the Optimise button.

3. Select the desired optimisation profile and options.
See Scheduling for the full optimisation workflow.

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