Abstract
In the last few years, there has been an increasing use of optimisation packages and decision support system (DSS) for the efficient and effective decision making. A significant variant of vehicle routing problem (VRP) arises when a fleet of vehicles is characterised by different capacities and operating costs, which is known as heterogeneous fleet vehicle routing problem (HFVRP). This paper aims at determining the optimal composition of fleet and set of routes to be accomplished by a fleet of heterogeneous vehicles for serving a given set of customers with the objective of minimising the total routing cost. To obtain the solution of the HFVRP, implementations of construction heuristics (savings algorithm, nearest neighbour, branch and cut) and improvement heuristics (2-opt and or-opt) are achieved through development of a DSS which eventually leads to proposal of a hybrid heuristic for route optimisation.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Logistics Systems and Management
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
