食品企业物流配送问题研究

发布时间：2018-06-17 03:37

本文选题：食品物流 + 货物配载　；参考：《重庆交通大学》2014年硕士论文

【摘要】：随着我国生活节奏的不断加快，休闲食品企业得到了快速的发展，而在企业中其物流成本占有非常大的比重，达到了30-40%。物流配送是物流流程中的一个重要环节，然而，目前食品企业在物流配送作业效率较低，体现在车辆利用率低下、车辆路线不合理、配送差错率较高等问题。因此研究如何提升食品企业的物流工作效率、降低物流成本对企业的发展具有一定的理论和实践意义。论文的主要研究内容如下：（1）阐述了食品企业在物流配送过程中的研究背景和意义。（2）食品企业配送问题概述。阐述了食品配送的概念以及食品配送的特点，通过调查问卷分析出食品企业在配送中存在的问题；对食品配送中货物配载与车辆路径的相关理论进行了阐述，结合食品企业的特点对配载与车辆路径的研究进行了相关界定。（3）食品企业配送优化模型的建立。根据食品企业对配载与车辆路径问题的界定建立相应的货物配载与车辆路径模型，然后分析配载与车辆路径二者之间的关系，，进行相关单位、变量的统一，建立配载与车辆路径的联合优化模型。（4）车辆配载与配送路径联合优化模型的计算。首先通过启发式算法对配载模型进行求解，应用蚁群算法对车辆路径问题进行求解，之后采用装载启发式算法和基于节约值的蚁群算法的有效结合，对联合优化模型进行求解。论文的主要研究结论：（1）通过构建食品企业车辆配载与路径组合优化模型，并将其应用到实际的生活当中，提升了企业的物流配送效率，降低了物流成本。（2）建立的货物配载与车辆路径组合优化模型，该模型既同时考虑了车辆的载重量、容积、与车辆路径方面的因素，通过改进的遗传算法使建立模型能够同时对二者进行优化。论文的创新点：（1）本文根据食品配送中存在的问题，同时考虑了货物配载与车辆路径两方面的关系，建立了货物配载与车辆路径联合优化模型。（2）将改进的启发算法应用到货物配载与车辆路径组合优化模型当中，拓宽了该方法的应用。
[Abstract]:With the quickening pace of life in our country, the enterprise of snack food has been developing rapidly, and its logistics cost occupies a very large proportion in the enterprise, which has reached 30-40000. Logistics distribution is an important link in the logistics process. However, at present, the efficiency of food enterprises in logistics distribution is low, which is reflected in the low utilization rate of vehicles, unreasonable vehicle routes, high distribution error rate and so on. Therefore, it is of theoretical and practical significance to study how to improve the logistics efficiency and reduce the logistics cost of food enterprises. The main contents of this paper are as follows: (1) the research background and significance of food enterprises in the process of logistics distribution. This paper expounds the concept of food distribution and the characteristics of food distribution, analyzes the problems existing in the distribution of food enterprises by questionnaire, and expounds the relevant theories of goods stowage and vehicle routing in food distribution. According to the characteristics of food enterprises, the paper defines the relationship between stowage and vehicle routing. 3) the establishment of distribution optimization model for food enterprises. According to the definition of stowage and vehicle routing problem in food enterprises, the model of cargo stowage and vehicle routing is established, and then the relationship between stowage and vehicle routing is analyzed, and the related units and variables are unified. The joint optimization model of stowage and vehicle routing is established. (4) the calculation of the joint optimization model of vehicle stowage and distribution route. First, the loading model is solved by heuristic algorithm, then the vehicle routing problem is solved by using ant colony algorithm, and then the joint optimization model is solved by combining the loading heuristic algorithm with the ant colony algorithm based on saving value. The main research conclusion of this paper is to construct the vehicle stowage and route combination optimization model of food enterprises and apply it to the actual life to improve the efficiency of logistics distribution. The combined optimization model of cargo stowage and vehicle routing is established by reducing the logistics cost. The model not only takes into account the factors of vehicle load, volume, and vehicle routing, but also takes into account the factors of vehicle load, volume, and vehicle routing. Through the improved genetic algorithm, the model can be optimized at the same time. According to the problems existing in food distribution, this paper also considers the relationship between cargo stowage and vehicle routing. The combined optimization model of cargo stowage and vehicle routing is established. The improved heuristic algorithm is applied to the combined optimization model of cargo stowage and vehicle routing, which widens the application of this method.
【学位授予单位】：重庆交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TS208;U492.22

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