快递企业人员调配优化问题的建模与求解方法研究

发布时间：2018-04-23 10:07

本文选题：随机分布 + 快件量预测　；参考：《沈阳工业大学》2017年硕士论文

【摘要】：随着电子商务行业的迅猛发展,快递企业的数量日益增长,我国各类型快递企业在规模不断扩大的同时也面临着激烈的竞争,如何在竞争中突显自己的优势是快递企业的主要问题。而从快递企业配送网点运营角度分析,合理地分配企业人员有助于该企业有效地节约资源,降低成本与提高企业竞争力。本文以快递企业人力资源为研究对象,基于快递企业配送网点来件的随机性,通过对配送网点的快件处理人员与配送人员的优化调整,使配送网点达到提高快件周转率,节约网点运营成本和提高库存环节利润的目的,以此来指导企业合理的规划运营。本文首先结合国内外相关研究阐述了电子商务发展给快递企业带来的影响,并对快递企业优化问题以及企业中较为常见的人员调配方式等相关知识与技术进行论述,其次再针对快递企业配送网点库存特点进行分析,合理的分析库存环节利润构成,并在配送网点一天中各时段来件量具有随机性的背景下,利用较为合理的时间序列季节系数法对网点来件量进行预测;在配送量,车辆及人员总量的约束下,以极大化配送网点库存利润为目标建立数学模型,并应用改进的粒子群优化算法求解模型,得到当前最佳人员调配方案,通过算例和对比分析常用分配方案说明该人员调配优化的有效性。最后对快递企业配送网点运营服务特点分析,在不同时段划分的条件下对配送网点各时段来件量进行预测;依据配送网点一天中不同时段的来件量情况分别对服务于同区域客户与不同区域客户的两个配送网点进行分析,在人力资源,车辆,以及快件配送量等条件的约束下,通过调配人员分别建立极小化快件剩余量模型与极小化配送网点运营成本模型,并应用对粒子群混合遗传算法的改进算法进行求解,以得到合理调配方案,通过实例分析及与常用方案比较说明了该优化方案的可行性。本文在电子商务发展对快递企业影响的背景下对快递配送网点业务量进行预测,进而用对网点人力资源的合理调整来达到优化该网点运营效率与节约资源的目的,帮助企业合理进行规划。
[Abstract]:With the rapid development of e-commerce industry, the number of express delivery enterprises is increasing day by day. How to highlight their advantages in the competition is the main problem of express delivery enterprises. From the point of view of distribution network operation of express delivery enterprises, reasonable distribution of enterprise personnel is helpful to save resources, reduce costs and improve competitiveness of enterprises. This paper takes the human resources of express delivery enterprises as the research object, based on the randomness of the distribution network of express delivery enterprises, through the optimization and adjustment of the express handling staff and the distribution personnel of the distribution network, the distribution network can improve the turnover rate of express goods. The purpose of saving the operating cost of network and increasing the profit of inventory link is to guide the enterprise to plan and operate reasonably. This paper firstly expounds the influence of the development of electronic commerce on express delivery enterprises combined with the domestic and foreign related research, and discusses the related knowledge and technology, such as the optimization of express delivery enterprises and the more common ways of personnel deployment in the enterprises. Secondly, according to the distribution network inventory characteristics of express delivery enterprises, the reasonable analysis of the stock link profit composition, and in the distribution network in a day in each period of time with the randomness of the background, The method of seasonal coefficient of reasonable time series is used to predict the quantity of distribution points, and the mathematical model is established under the constraints of the total quantity of distribution, vehicles and personnel, with the aim of maximizing the profit of inventory of distribution network. The improved particle swarm optimization algorithm is applied to solve the model and the optimal personnel allocation scheme is obtained. The effectiveness of the optimization is illustrated by a numerical example and a comparative analysis of the common allocation schemes. Finally, the characteristics of distribution network operation and service in express delivery enterprises are analyzed, and the quantity of distribution network in each period of time is predicted under the condition of different time division. According to the distribution network's incoming quantity at different times of the day, the two distribution outlets serving the same regional customers and different regional customers are analyzed respectively, under the constraints of human resources, vehicles, and the quantity of express shipment, etc. Through the deployment of personnel to establish the model of the minimal residual quantity of express goods and the operation cost model of the minimized distribution network, and apply the improved Particle Swarm Optimization genetic algorithm to solve, in order to obtain a reasonable allocation scheme. The feasibility of the optimization scheme is illustrated by example analysis and comparison with common schemes. In this paper, under the background of the influence of the development of electronic commerce on the express delivery enterprises, the business volume of the express distribution network is forecasted, and then the rational adjustment of the network human resources is used to optimize the operation efficiency and save the resources of the network. Help enterprises to plan properly.
【学位授予单位】：沈阳工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F259.23

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