本文選題：隨機分布 + 快件量預測��； 參考：《沈陽工業(yè)大學》2017年碩士論文

【摘要】：隨著電子商務行業(yè)的迅猛發(fā)展,快遞企業(yè)的數(shù)量日益增長,我國各類型快遞企業(yè)在規(guī)模不斷擴大的同時也面臨著激烈的競爭,如何在競爭中突顯自己的優(yōu)勢是快遞企業(yè)的主要問題。而從快遞企業(yè)配送網(wǎng)點運營角度分析,合理地分配企業(yè)人員有助于該企業(yè)有效地節(jié)約資源,降低成本與提高企業(yè)競爭力。本文以快遞企業(yè)人力資源為研究對象,基于快遞企業(yè)配送網(wǎng)點來件的隨機性,通過對配送網(wǎng)點的快件處理人員與配送人員的優(yōu)化調(diào)整,使配送網(wǎng)點達到提高快件周轉(zhuǎn)率,節(jié)約網(wǎng)點運營成本和提高庫存環(huán)節(jié)利潤的目的,以此來指導企業(yè)合理的規(guī)劃運營。本文首先結(jié)合國內(nèi)外相關研究闡述了電子商務發(fā)展給快遞企業(yè)帶來的影響,并對快遞企業(yè)優(yōu)化問題以及企業(yè)中較為常見的人員調(diào)配方式等相關知識與技術進行論述,其次再針對快遞企業(yè)配送網(wǎng)點庫存特點進行分析,合理的分析庫存環(huán)節(jié)利潤構成,并在配送網(wǎng)點一天中各時段來件量具有隨機性的背景下,利用較為合理的時間序列季節(jié)系數(shù)法對網(wǎng)點來件量進行預測;在配送量,車輛及人員總量的約束下,以極大化配送網(wǎng)點庫存利潤為目標建立數(shù)學模型,并應用改進的粒子群優(yōu)化算法求解模型,得到當前最佳人員調(diào)配方案,通過算例和對比分析常用分配方案說明該人員調(diào)配優(yōu)化的有效性。最后對快遞企業(yè)配送網(wǎng)點運營服務特點分析,在不同時段劃分的條件下對配送網(wǎng)點各時段來件量進行預測;依據(jù)配送網(wǎng)點一天中不同時段的來件量情況分別對服務于同區(qū)域客戶與不同區(qū)域客戶的兩個配送網(wǎng)點進行分析,在人力資源,車輛,以及快件配送量等條件的約束下,通過調(diào)配人員分別建立極小化快件剩余量模型與極小化配送網(wǎng)點運營成本模型,并應用對粒子群混合遺傳算法的改進算法進行求解,以得到合理調(diào)配方案,通過實例分析及與常用方案比較說明了該優(yōu)化方案的可行性。本文在電子商務發(fā)展對快遞企業(yè)影響的背景下對快遞配送網(wǎng)點業(yè)務量進行預測,進而用對網(wǎng)點人力資源的合理調(diào)整來達到優(yōu)化該網(wǎng)點運營效率與節(jié)約資源的目的,幫助企業(yè)合理進行規(guī)劃。
[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.
【學位授予單位】：沈陽工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：F259.23

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