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The location problem of logistics center is the key process of logistics distribution, in order to improve the accuracy of the location of logistics center, this paper according to the parallelism and characteristics of global optimization of genetic algorithm. A method based on genetic algorithm is proposed to solve the problem of logistics center location, and set up with the minimum total cost...
Logistics service is of great significance in e-commerce operations, the distribution Vehicle Routing Problem (VRP) directly affect enterprises' logistics cost and distribution service quality. When formulating the plan, it's more in line with time actual needs to optimize algorithm from the characteristics of e-commerce than from the algorithm itself. This article designed a model and algorithm in...
Availability allocation is required when the manufacturer is obliged to allocate proper availability to various components in order to design an end product to meet specified requirements. But in designing phase of products, design parameters such as components' failure rate and repair rate are normally under uncertainties. This paper presents a methodology for solving the availability allocation...
Aimed at the problem of commercial vehicles' distribution routes and transportation mode, as well as the reliability of service, a distribution optimization model is constructed which considered the transportation cost, transit cost and punishment cost. Then apply genetic algorithm to solve the problem. Finally, used the data from a vehicle logistics enterprise for analyzing, which proved that the...
In the airline industry, the Aircraft Maintenance Routing (AMR) problem has been one of the great successes of operations research. The AMR problem is to determine a particular route for each aircraft to undergo different levels of maintenance checks. The objective is to minimize the total maintenance costs. In this study, our aim is to present a mathematical formulation for the AMR problem which...
A mathematical model and a genetic algorithm are proposed to solve a logistics network optimization problem. Combined with the characteristics of urban logistics and e-commerce, the sum of transportation costs, construction costs and maintenance costs are considered in the model to describe the total logistics cost in the network. Since the model is an NP problem, the genetic algorithm is used to...
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...
With the rapid development of logistics transportation, the number of high-level orderpickers in the warehouse is increasing day by day. In order to improve order picking efficiency, a mathematical model of this optimization problem is constructed according to characteristics of order picking of the high level orderpicker in a rectangular warehouse. To solve the model, G-A (Genetic-Ant colony) algorithm...
This paper aims at GA's weakness and shortage of neighborhood search capability, proposed 3-opt based mutation operator, sub-path communicating operator and dynamic switching mutation of dual-point operator. The simulation results illustrate that the neighborhood search capability could be improved by this operator and the relatively steady solution could be gained as well. Hence, the research and...
Logistics traffic scheduling is a key job for logistics activity, but there are some weak points, e.g. local optimum, premature convergence and slow convergence while we employ the traditional genetic algorithm to analyze that problem. Therefore, we need to improve the genetic algorithm to solve the vehicle routing problem. This paper builds up a mathematical model for the traffic scheduling problems...
Logistics service suppliers play a very important role in culturing the competition capacity of an enterprise, so it is very important to study the methods of logistics service suppliers selection. First, a comprehensive evaluation index system of logistics service providers selection is put forward in the paper. Then, In order to overcome the lack of previous evaluation methods, projection pursuit...
The Multi-objective Vehicle Routing Problem (MoVRP) is an important problem in the logistics distribution management, whose two objective functions are to minimize the global transportation cost and to maximize the average customer satisfaction. The mixed integer programming model of MoVRP is proposed in this paper. And a Hybrid Genetic Algorithm based on Human-Computer Interaction (HGAHCI) is presented...
One-way Street of city is described as a strongly connected directed graph. Mathematical model is established by using related theory of strongly connected directed graph. The two algorithms are proposed, one is for solving the shortest distance between any two nodes in a strongly connected graph, and another is for computing the length of a minimal oriented H cycle based on improved genetic algorithm...
Vehicle Routing Problem (VRP) is not only a key in the logistics delivery, but also a Nondeterministic Polynomial Problem (NP Problem). This paper gives a new vehicle routing optimization model with two phases for Capacitated VRP. Firstly, by GIS route optimization and saving algorithm, we achieve automated intelligent logistics delivery. Secondly, distribution route was greatly Optimization by using...
Energy saving and emission reducing of logistics system is an important research area in low carbon society. Factors of energy saving and emission reducing, such as vehicle exhaust emission confine, energy consume confine is treated as confine factors to construct the optimization model of logistics distribution center addressing. GA is used settle the models, and a practical distribution centers...
The primary goal of this paper is to save logistics cost and reach optimizing configuration of import crude oil transportation network. Firstly, based on the investigation of China's domestic oil production and consumption, this paper makes a detailed analysis on the source regions, flow, transportation routes and accommodating ports of import crude oil. Thereafter, an optimization model is put forward...
With carbon emissions, global warming accelerate day by day, and activities of logistics are great causes of carbon emissions, so reducing the carbon emissions of logistics become the focus of the present study. Distribution centers location decision is one of the most critical factors in the entire logistics system, reasonable locations can effectively reduce the carbon emissions of logistics. This...
Owing to trade imbalance, shipping companies position empty containers between ports or depots periodically. The most difficult problem for positioning is that it is not easy to know the exact amounts of empty containers required in the future. The paper deals with the problem of positioning empty containers in a port area with multiple depots. Customer demands and returning containers in depots per...
With the development of the market economy and improvement of logistics technology professional level, logistics and distribution industry get rapid development. The logistics distribution is a complicated system engineering, which many optimization problems established models and algorithms are very complex, and mostly models and algorithms have NP-hard properties. The paper proceeds theoretical...
Inventory-transportation integrated optimization in the distribution system is important research subject of logistics integration strategy. This paper analyses the relationship between inventory and transportation, builds the ITIO issue optimization based on milk-run mode, and combining the character of Model, this paper designs Genetic Algorithm of natural number coding to solve Vehicle Scheduling...
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