本文關鍵詞：S快遞公司最后一公里配送優(yōu)化研究　出處：《華南理工大學》2015年碩士論文　論文類型：學位論文

  更多相關文章： 最后一公里 循環(huán)取貨 人員配置 車輛路線規(guī)劃

【摘要】：在電商行業(yè)的帶動下,快遞行業(yè)快速發(fā)展。但近年由于競爭激烈、各項成本上升,快遞也已逐步進入瓶頸階段。在這種大環(huán)境下,提高資源效能、降低成本是各快遞公司無一不考慮的問題�！白詈笠还�"配送,指快遞公司將貨物配送到最終客戶手中(或從客戶手中收集貨物,參加中轉運輸)的過程,是快遞公司與客戶接觸的末端環(huán)節(jié)。在這一環(huán)節(jié),不僅體現快遞公司的服務形象,也集中了快遞公司大部分的資源來服務客戶。因此,管理好最后一公里配送環(huán)節(jié),是成本控制、提升效能的關鍵工作。本文對S公司實際運作過程進行分析。從貨物被寄件人寄出,參加快遞公司各節(jié)點、網點之間的中轉,最后配送給客戶的整個過程分析,總結出“勞動力”和“車輛"是“最后一公里"基本要素。從勞動力在運作中引發(fā)的問題,運用統計學的基礎知識進行分析并提出三個解決方案:1)“優(yōu)化勞動力結構和時間”,根據全職和兼職人員的工作效能和成本不同,靈活用工,使投入的勞動力數量更好的匹配貨量的波動;2)“貨物在各時段滯留優(yōu)化”,即依據各快遞產品時效差異,使各時段快遞件數分布更平均,減少因貨量波動引起的勞動力浪費;3)“收派模式優(yōu)化-智能儲物柜”,用機器取代人員,減少時間耗費,提升效能。運用運籌學理論使用整數線性規(guī)劃的方法,對這三項措施逐一進行定量分析,得出人員勞動的最優(yōu)結果。車輛接駁路線管理,是“最后一公里”的另一重要因素。本文根據企業(yè)用車的現狀并綜合將來倉庫搬遷的計劃,運用節(jié)約式算法的理論,對倉庫搬遷后兩個倉庫服務區(qū)域的范圍進行重新測算劃分,對各自服務區(qū)域的車輛行駛路徑進行整理。在滿足車輛容積不超載、運行時間不超時的情況下,運用節(jié)約式算法,算出兩區(qū)域所需要車輛的最少數量,以及每輛車�？奎c的先后順序。最后,通過對比實施措施前后的數據,成本的降低、時效指標改善、客戶和員工滿意度有所提高,來驗證方案的有效性。
[Abstract]:In the electricity industry driven by the rapid development of the express delivery industry. But in recent years, due to intense competition, the rise in the cost of delivery has gradually entered the bottleneck stage. In this environment, improve resource efficiency, reduce the cost of the courier company is not considered. The "last mile" refers to the delivery, express company will the distribution of goods to the final customer (or the customer from the collection of goods in transit) process is the end part of the express company and customer contact. In this part, not only embodies the courier service image, also focused on the courier company most of the resources to serve the customer. Therefore, good management of the last mile distribution link is the cost control, the key to enhance the work efficiency. This article analyzes the actual operation process of S company. The goods are sent from the sender, each node in the courier company, transit network between the most. To analyze the process of customers after the match, summed up the "labor" and "vehicle" is the "last mile". From the basic elements of labor caused problems in operation, using the basic knowledge of statistical analysis and put forward three solutions: 1) "to optimize the structure of labor force and time", according to the working efficiency of full-time and part-time personnel and cost, flexible employment, the amount of labor input, the better the volume fluctuations; 2) "cargo retention optimization" in each period, which is based on the express product aging differences, so that each time a delivery number distribution is more average, reduce the volume caused by fluctuations in the labor waste; 3) "delivery mode optimization - Intelligent lockers, replace the personnel by machine, reduce the time cost, improve efficiency. Using the method of theory using integer linear programming, on the three measures by quantitative analysis, The optimal results of labor. Vehicle feeder route management, is another important factor in the last mile ". According to the present situation and future business vehicles comprehensive warehouse relocation plan, using the saving algorithm theory, re measure the division of the warehouse after the relocation of two warehouse service area, for their service the vehicle path to collate. To meet the vehicle volume overload, running time overtime, by saving algorithm, calculate the two area required minimum number of vehicles, and each car stops in order. Finally, by comparing the data before and after the implementation of measures, to reduce the cost of the aging index improve customer and employee satisfaction has improved, to verify the validity of the scheme.

【學位授予單位】：華南理工大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：F259.23

【參考文獻】

相關期刊論文 前1條

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本文編號：1375261