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DATUM FIELD CHAPTER · LOGISTICS

Discipline: Logistics

Ten canonical operational blueprints cataloged under the Logistics field domain.

#031
Logistics Analytics

We use too many vehicles

Can the same orders be delivered with fewer vehicles?

#031 Fleet Sizing8 Semi-Trailers
TRKRUN
TRKRUN
TRKRUN
TRKRUN
TRKRUN
TRKRUN
TRKRUN
TRKIDLE
TRKOFF
TRKOFF
TRKOFF
TRKOFF
7 Active Routes88% Utilization
Fleet Sizing:8 Semi-Trailers
Active Efficiency:88% Active
4 Trucks (Tight)12 Trucks (Surplus)
Verified ProofBlueprint→
#032
Bin Packing

Trucks leave partially empty

How can orders be combined to use space better?

#032 3D Bin Packing58% Cube Fill
SKU-A
SKU-B
EMPTY AIR (42%)
⚠ Loose Stacking (Air Wasted)Fleet: 5 Vehicles
REQUIRED FLEET:5 Vehicles
FREIGHT SAVINGS:$0 (Base)
💡Pack loads tightly under dual weight-cube limits.
Blueprint→
#033
Logistics Analytics

Delivery routes are created manually

Can we replace manual route drawing with systematic planning?

#033 Clarke-Wright SavingsS_ij = 35km
DC
Route Pairing Loop-24% Deadhead Miles
Savings Cutoff:35 km paired
Trips Consolidated:4 into 2 tours
Direct Out-and-BackMax Clustered Savings
Verified ProofBlueprint→
#034
Vehicle Routing Problem (VRP)

Trucks travel too many kilometres

Can the same deliveries be completed with a better route?

#034 Vehicle Routing (TSP)86 km (-44% Distance)
DEPOT
⚠ Sub-Optimal Zigzag Routing$327 Fuel Cost
ROUTE MILEAGE:86 km
FUEL EXPENSE:$327 / run
💡Optimized route sequencing reduces miles and emission waste.
Blueprint→
#035
Logistics Analytics

Deliveries regularly miss promised times

How do time windows change routing?

#035 Time Windows23m Arrival Drift
W-1W-2W-3W-4
Customer SLA Windows3 / 4 On-Time
Traffic Delay:+23 mins
SLA Breach:1 late stops
0m On Schedule+45m Heavy Traffic
Verified ProofBlueprint→
#036
Logistics Analytics

We don't know which order belongs on which truck

How should orders be assigned before routing?

#036 Isochrone Zones90km Radius
DC1DC2
Next-Day Ground Reach84% Population
Transit Coverage:90 km zone
Zone Overlap:23% Co-served
Local 50kmRegional 130km
Verified ProofBlueprint→
#037
Logistics Analytics

Drivers spend too much time waiting

Where does non-driving time accumulate?

#037 Isochrone Zones90km Radius
DC1DC2
Next-Day Ground Reach84% Population
Transit Coverage:90 km zone
Zone Overlap:23% Co-served
Local 50kmRegional 130km
Verified ProofBlueprint→
#038
Logistics Analytics

Delivery costs vary unpredictably

Which cost driver is changing?

#038 Isochrone Zones90km Radius
DC1DC2
Next-Day Ground Reach84% Population
Transit Coverage:90 km zone
Zone Overlap:23% Co-served
Local 50kmRegional 130km
Verified ProofBlueprint→
#040
Logistics Analytics

Our logistics network became too complicated

Do we need every node and lane?

#040 Isochrone Zones90km Radius
DC1DC2
Next-Day Ground Reach84% Population
Transit Coverage:90 km zone
Zone Overlap:23% Co-served
Local 50kmRegional 130km
Verified ProofBlueprint→