Routing Settings

Control which factors influence assignment and route sequencing

network_node

Active Profile

Balanced Optimization Modified

warning Pending changes will affect 14 active routes.

Last Updated

Today, 08:30 AM (S. Connor)

group_work Assignment Factors

Global Constraints

Distance Minimization

Prefer closest available technician.

75 Soft

Hub Affinity

Keep tech near assigned home hub.

30 Soft

Load Balancing

Distribute jobs evenly across shift.

50 Soft

lock

Capability Match Matches Phlebotomy/X-Ray skills

Hard

lock

Shift Availability Tech must be on shift

Hard

schedule Time & Priority Factors

Active

star STAT Urgency Weight: 95

wb_twilight Fasting Window Weight: 80

alarm Timed Draw Weight: 85

Timed Draw Strictness

Strict Compliance ± 5 mins. Stops route if missed.

Moderate (Recommended) ± 15 mins. Penalty applied.

Flexible ± 30 mins. Soft constraint.

science Lab & Stability

Sample Stability High Priority

Weightage given to sample decay risk.

Auto-insert Lab Drops If load > 80% capacity

sync Re-optimization

Minimal Disruption Prevent changing active stops

GPS Stale Penalty 40%

Discourage assigning to techs with old GPS data.

psychology AI Decision Preview

How the system explains choices with current settings.

Sample Scenario: #1255 Urgent Care

"Why was Technician B assigned instead of Technician A (who was closer)?"

lightbulb

STAT Urgency Outweighed Distance

Although Tech A was 2 miles closer, Tech B has a higher probability of meeting the STAT window (Weight: 95) due to current traffic conditions.

block

Availability Constraint

Tech C was excluded due to Shift Availability (Hard Lock) ending before job completion.

Scoring Breakdown

SLA Adherence 98/100

Travel Efficiency 72/100

Workload Balance 85/100