Multi-Objective Vehicle Routing Problem with Time Windows and Fuel Consumption Minimizing

Abstract

Transportation often represents the most important single element in logistics costs and its reduction and finding the best routes that a vehicle should follow through a network is an important decision. the energy cost is a significant part of total transportation cost and it is important to improve the operational efficiency by decreasing energy consumption. Unlike most of the studies trying to minimize the cost by minimizing overall travelling distance, the energy minimizing which meets the latest requirements of green logistics, is considered in this paper. the customers' priority for servicing is considered as well. Besides, the model is interpreted as multi-objective optimization where, the energy consumed and the total fleet are minimized and the total satisfaction rates of customers is maximized. A new solution based on the evolutionary algorithm is proposed and its performance is compared with the CPLEX Solver. Results illustrate the efficiency and effectiveness of proposed approach.

Improved Multi-Ant-colony algorithm for solving Multi-Objective Vehicle Routing Problems

“…Loop involving line 13-29 undergoes repetition for all of the ants. Inner while loop (line [15][16][17][18][19][20][21][22][23][24][25][26] is repeated until all the customers are not served. Lines 19-23 decides the exploration of new possibilities or exploitation of the previous routes according to Eq 12.…”

Energy efficient routing and task scheduling for autonomous transfer vehicles in intra logistics

“…Fuel consumption of vehicles is dependent on a lot of factors in logistics. Minimizing the fuel consumption in VRPs is considered by Kara et al (2007), Bektas ¸ and Laporte (2011), Xiao et al (2012) and Ghannadpour and Hooshfar (2016) in the literature. While it is aimed to reduce the fuel consumption for trucks in logistics, it is important to address pollution routing problem in shop floor transportation problems and reduce energy consumption of transport vehicles in intra logistics.…”