Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/19588
DC FieldValueLanguage
dc.contributor.advisorHazra, Jishnu
dc.contributor.authorJain, Rishabh
dc.contributor.authorPatil, Pranay Pralhad
dc.date.accessioned2021-06-11T14:44:57Z-
dc.date.available2021-06-11T14:44:57Z-
dc.date.issued2020
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/19588-
dc.description.abstractThe Vehicle Routing Problem (VRP) calls for the determination of the optimal set of routes to be performed by a fleet of vehicles to serve a given set of customers or take material from a given set of suppliers, and it is one of the most important, and studied, combinatorial optimization problems. The vehicle begins and ends at the same node i.e. the plant with consideration that it fulfils the demand at each travelling node. The travelling vehicle has capacity constraint and Distances between all the suppliers and plant and among the suppliers are known. Here we used the Google OR tools in python to develop the code. Based on the code the optimised milk run routes were found out along with the appropriate truck.
dc.publisherIndian Institute of Management Bangalore
dc.relation.ispartofseriesPGP_CCS_P20_147
dc.subjectAuto part manufacturing
dc.subjectVehicle Routing Problem (VRP)
dc.titleToyota Kirloskar Auto Parts (TKAP)
dc.typeCCS Project Report-PGP
dc.pages10p.
Appears in Collections:2020
Files in This Item:
File SizeFormat 
PGP_CCS_P20_147.pdf742.63 kBAdobe PDFView/Open    Request a copy
Show simple item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.