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Transportation is more and more important in social and economic development. However, it also causes resource waste and environment pollution problems as well. Hence, it is necessary to take energy consumption minimization into consideration when we deal with vehicle routing problems (VRP). Most of previous researches about energy minimization vehicle routing problem (EMVRP) assume that the vehicles...
In cross-docking operations, planners need to coordinate the inbound, docking and outbound logistics operations to ensure a smooth flow of goods across the supply chain. The operation management of cross docking is a crucial task with high complexity for the logistics systems. This paper attempts to address the Vehicle Routing Problems (VRPs) of distribution centers with multiple cross-docks for processing...
This work consists in presenting an information system for planning routes for deliveries of goods. A company that has many products to be delivered in different places find it difficult to define the best combination of loads to be carried, and what better vehicle availability, and lower cost route for the delivery of goods in load order. With the system it is intended itinerary delivery of the goods...
Based on the research on Vehicle Routing Problems (VRP), vehicle scheduling and operating work can be more rational, which consequently reduces the logistical cost on the condition of meeting the timeliness requirement of emergency logistics. In this paper, we give an analysis of the characteristics of VRP in emergency logistics. According to the practical situations of VRP, an improved genetic algorithm...
This article describes an exact method based on a Branch & Cut algorithm for the multi-region vehicle routing problem in large quantities by a heterogeneous fleet of vehicles. Test results on different problem instances are presented after have been solved by CPLEX.
The research based on multi-depot RVRP with road capacity dynamic constraint. Building relevant mathematic model, and brought simulated annealing mechanism into chaos genetic algorithm. The simulated result shows that the proposed algorithm can be applied to solve this problem.
Aiming at the main problems of low loading rate of vehicles, poor arrangement efficiency of routes, high costs for distribution and collecting the parts without the time window provided by a certain vendor in the milk-run process of enterprise operation, a new mathematical model called Time Window Priority Model (TWPM) is established based on the concept of the milk run system in order to solve vehicle...
This study aimed to improve the transportation management of a case study company which produced seasoning powder. Recently, they had two main problems in logistics department: high transportation cost and long vehicle scheduling time. Thus, the objectives of this study were to reduce transportation cost and scheduling time. Due to the delivery in Bangkok and metropolitan area, this problem became...
The unidirectional logistics distribution vehicle routing problem with no time windows is considered. It contains the vehicle capacity restriction, the longest distance restriction and the full loaded vehicle. The solution must ensure the non-full loaded factor is the least and the total distance is the shortest. A multi-objective optimization mathematical model for the problem is established. And...
Provides a novel hybrid ant colony algorithm combining genetic algorithm with implicit parallel function to make up the shortcomings of common ant colony alogrithm in the vehicle routing problem including slow convergence in the early stages. Introducing the encoding and mutation operation can improve the efficiency of solving the optimal distribution path. The comparative analysis of vehicle routing...
Ant colony algorithm is a kind of novel simulation-biological evolution algorithm. An improved ant colony algorithm was utilized to solve the vehicle routing problem in emergency logistics. Genetic algorithm was utilized to optimize the parameters of ant colony algorithm. The algorithm possesses some characteristics such as strong total researching ability. The experimental results show that the improved...
Traffic jams is a crucial factor that affect logistics costs and transportation time, therefore, this paper give the improved ant colony algorithm strategy in selection next node, comprehensive the length of the road and block coefficient when calculate, so that take into account the actual path length and time costs during transport. The results show that the improved ant colony algorithm has a better...
Vehicle routing problem has been largely studied because of its application in logistic and supply chains management. A number of algorithms inspired by the foraging behaviors of ant colonies have recently been applied to solve vehicle routing problem and its variants. The behavior of ant colonies algorithms depends strongly on the values given to parameters. In most applications, parameter values...
The paper presents selected aspects of a single-depot vehicle routing problem with multi-commodity heterogeneous suppliers demand. Main attention is paid to the problem of certain goods groups transport on the same vehicle. To solve this problem each supplier is characterized by a different goods group which is in his possession. Also the structure and the characteristics of a goods transportation...
We introduce a Multi-Point Stochastic Insertion Cost Gradient Descent (MuPSICGD) heuristic algorithm to solve multi-depot split-delivery vehicle routing problem (MDSD-VRP) through an innovative approach. We also describe two solution improvement techniques that can further enhance a fairly good solution. Our contribution is threefold: First we present a heuristic-based mechanism to solve multi-depot,...
The vehicle routing problem in the electronic commerce environment pays more attention to the time management. This paper established a general mathematical model with the soft time windows in the e-commerce environment. In the process of research, adopted the simulated annealing algorithm for solving it, and analyzed the effect of solutions caused by different importance of distance and time cost...
Based on in-depth investigation and study of product distribution system of a food factory in Nanjing city, the distribution status including distribution of the enterprise product line, distribution volume and vehicle utilization were analyzed and existing problems were pointed out. Strategies were put forward according to the factory distributing status, to help improve vehicle efficiency and reduce...
Due to the deficiency of logistics distribution, this paper presents a new approach to deal with VRP problems and utilizes network analysis function of GIS. Firstly, this paper specifies how to establish road network based on GIS. Secondly, this paper focuses on Vehicle Routing Problems with Time Window constraints. Finally, article based on the network analysis function of GIS, routing results on...
The vehicle routing problem is proved to be a kind of NP problem. Immune genetic algorithm is proposed based on genetic algorithm and the use of the biological and immune system in this paper. A kind of group diversity maintaining strategy based on the density of individual is constructed. An immune operator and a immune memory library are applied to the algorithm. The experimental results of a VRP...
In this paper, we assumptions of achieving the goal of zero inventory for the environment and allowing the goods delivery of priority to exist between the wholesales, breaking the wholesale market down into: Has stock market and Lack stock market. And base on the VRP research, obtained the Distributed Optimization algorithm mode and the solving method of a large distribution center. Combining the...
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