Authors :
Manjunath H; Alok Hegde; Allen Peter; Nainitha N Shetty; Sooryakantha G
Volume/Issue :
Volume 7 - 2022, Issue 6 - June
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3PvcPPR
DOI :
https://doi.org/10.5281/zenodo.6833647
Abstract :
With the increased demand for speedy and
same-day deliveries, various e-commerce businesses are
looking into new ways to move items in a cost-effective,
time-efficient, and sustainable manner. This can be
achieved by having a robust execution of delivery.
Considering the difference in journey, time, cost factors
and number of salespersons the recommended system
delivers the best solution in terms of three criteria: cost,
time, and sustainability. So, the goal is to reduce the overall
distance travelled by all salesperson. Our designed
Application will take locations, number of salespersons &
vehicle and showcase the optimized sequence of locations.
This will save not only Time but Money and Fuel too,
which is a win-win situation for both customers and
logistics organization. The application was much more
needed for since it will be saving the valuable resources of
environment.
Keywords :
MTSP, TSP, K-Medoid, Dynamic Programming, Graph Partitioning, Geocode.
With the increased demand for speedy and
same-day deliveries, various e-commerce businesses are
looking into new ways to move items in a cost-effective,
time-efficient, and sustainable manner. This can be
achieved by having a robust execution of delivery.
Considering the difference in journey, time, cost factors
and number of salespersons the recommended system
delivers the best solution in terms of three criteria: cost,
time, and sustainability. So, the goal is to reduce the overall
distance travelled by all salesperson. Our designed
Application will take locations, number of salespersons &
vehicle and showcase the optimized sequence of locations.
This will save not only Time but Money and Fuel too,
which is a win-win situation for both customers and
logistics organization. The application was much more
needed for since it will be saving the valuable resources of
environment.
Keywords :
MTSP, TSP, K-Medoid, Dynamic Programming, Graph Partitioning, Geocode.