Start time of individual delivery tours can have a huge impact on tour efficiency, directly influencing distance traveled, number of tours and work time
Why are individual starting times for
delivery tours needed?
Complication
Resulting need
Various parameters and constraints, which might impose contrary starting times, e.g. delivery time windows and traffic situation
Testing various start times in manual processes results in high workload and leads to sub-optimal various start times in manual processes
Sophisticated mechanism to plan optimal tour start times
Trade-off between parameters to define optimal start time
Automated planning process to avoid manual workload
Complication
Resulting need
Various parameters and constraints, which might impose contrary starting times, e.g. delivery time windows and traffic situation
Testing various start times in manual processes results in high workload and leads to sub-optimal various start times in manual processes
Sophisticated mechanism to plan optimal tour start times
Trade-off between parameters to define optimal start time
Automated planning process to avoid manual workload
How does Greenplan enable planning of
optimal start times?
Greenplan simultaneously exploits the flexibility of possible starting times, stop sequences and shipment/tour assignments to calculate an optimum combination
Greenplan determines optimal start times based on shipment specific delivery time windows, time-of-day dependent flow velocities and working time constraints
Greenplan automates calculation of optimal start time and thus eliminates manual effort required in status quo, i.e. testing various start times in manual processes
Greenplan plans more efficient tours by defining optimal start times and thus enables customers to reduce delivery costs and carbon emissions – by driving “the best way”
Deliveries Metropolitan Area
INITIAL SITUATION
Daily deliveries to retail stores in dense urban area
Scope of use case:
Single depot in central location
500+ store locations supplied
Fixed delivery time windows at stores
LTL shipping
Unreliable (static) route planning due to heavy traffic congestion during the day
Fixed start times for single delivery tours prevent traffic avoidance
Results in delayed deliveries & missed time windows
SOLUTION PROVIDED BY GREENPLAN
Allows flexible tour starts between 5am to 6am
Calculates optimal start time based on e.g.:
Time-of-day dependent and street specific traffic flow velocities
Shipment specific delivery time windows
Working time constraints
Planning result provides optimal tour schedule :
A total of 33 delivery tours
A total distance of 3,081 km driven
A total driving time of 4,238 min across all tours
Benefits provided
Planning optimal start times for individual tours enables:
Lower amount of tours
Less distance driven
Reduced costs
Reduced CO2 emissions
Automated planning of optimal tour start times ensures:
Reduced planning workload
No errors due to manual planning
Various tour start times
Start times
First
Greenplan
5:00
5:30
6:00
First
Greenplan
Optimal start times
Optimal start times
Tours
33
?Number of required tours is lower when scheduling optimal start times for individual tours
33
Distance, km
3081
3081
Avg speed, km/h
43.6
43.6
Drive time, min
4238
4238
Delivery time, min
8565
8565
Idle time, min
21
21
Total time, min
12284
?Total work time lowest when planning tour starts flexibly, utilizing work time more efficiently
12284
5:00
Optimal start times
Fixed start 5 a.m
Tours
33
?Number of required tours is lower when scheduling optimal start times for individual tours
36
Distance, km
3081
3307
?Fixed start times result in significantly higher distance driven, causing higher costs and CO2 emissions
Avg speed, km/h
43.6
45.2
Drive time, min
4238
4390
Delivery time, min
8565
8565
Idle time, min
21
1642
Total time, min
12284
?Total work time lowest when planning tour starts flexibly, utilizing work time more efficiently
14597
5:30
Optimal start times
Fixed start 5:30 a.m
Tours
33
?Number of required tours is lower when scheduling optimal start times for individual tours
34
Distance, km
3081
3116
Avg speed, km/h
43.6
44
Drive time, min
4238
4251
Delivery time, min
8565
8565
Idle time, min
21
487
Total time, min
12284
?Total work time lowest when planning tour starts flexibly, utilizing work time more efficiently
13304
6:00
Optimal start times
Fixed start 6 a.m
Tours
33
?Number of required tours is lower when scheduling optimal start times for individual tours
36
Distance, km
3081
3262
Avg speed, km/h
43.6
43.4
Drive time, min
4238
4507
?Too late (fixed) starts avoid waiting, however require more driving time due to increased traffic
Delivery time, min
8565
8565
Idle time, min
21
97
Total time, min
12284
?Total work time lowest when planning tour starts flexibly, utilizing work time more efficiently