發(fā)布時(shí)間：2018-05-17 04:08

  本文選題：B2C電商 + 隨機(jī)存儲(chǔ)�。� 參考：《北京交通大學(xué)》2017年碩士論文

【摘要】：配送速度是衡量B2C電商企業(yè)競(jìng)爭(zhēng)力和服務(wù)能力的一個(gè)重要指標(biāo)。在各大電商企業(yè)的銷售量、營(yíng)業(yè)收入穩(wěn)步增長(zhǎng)的今天,配送速度更是成為各電商企業(yè)間競(jìng)爭(zhēng)的重要指標(biāo)。在對(duì)Z公司及其PEK配送中心的調(diào)研中發(fā)現(xiàn),人為因素造成的延誤中,有31%是因?yàn)榕渌椭行挠唵呜浳锍鰩?kù)晚造成的。進(jìn)一步分析可以知道,PEK配送中心是人工揀選配送中心,其采用的是隨機(jī)存儲(chǔ)策略,這種存儲(chǔ)策略雖然可以加快貨物上架的速度,提高倉(cāng)儲(chǔ)利用率,但由于會(huì)增加揀貨員的行走路徑,而影響到配送中心訂單貨物的出庫(kù)時(shí)效。貨位優(yōu)化是影響配送中心出庫(kù)時(shí)效的一個(gè)關(guān)鍵點(diǎn),貨位能否合理分配直接影響貨物能否快速上架,并按照需求被準(zhǔn)確揀選、及時(shí)出庫(kù),進(jìn)而影響電商企業(yè)的整體服務(wù)能力。在隨機(jī)存儲(chǔ)策略下,怎樣進(jìn)行貨位優(yōu)化,成為Z公司PEK配送中心提升出庫(kù)時(shí)效的主要問(wèn)題。本文以人工揀選的PEK配送中心為研究對(duì)象,針對(duì)PEK配送中心存在的貨位分配缺乏合理規(guī)劃、出庫(kù)效率較低等問(wèn)題,分別研究了配送中心初始化狀態(tài)時(shí)的貨位優(yōu)化問(wèn)題以及已經(jīng)存有商品時(shí)上架商品的貨位優(yōu)化問(wèn)題。在初始化狀態(tài)時(shí),考慮商品的出庫(kù)頻次,結(jié)合靠近出口原則和商品之間的相關(guān)性,將相關(guān)性高的商品存儲(chǔ)在相鄰的貨位中,同時(shí),將出庫(kù)頻次高的商品放在靠近出口的巷道中。隨著時(shí)間的推移,商品之間的相關(guān)性不斷變化,在已經(jīng)存有商品的配送中心,模擬商品整個(gè)出入庫(kù)的動(dòng)態(tài)過(guò)程,考慮上架商品與整個(gè)巷道內(nèi)商品的動(dòng)態(tài)相關(guān)性,商品之間的相關(guān)性系數(shù)根據(jù)最新的歷史訂單進(jìn)行計(jì)算,將上架商品存儲(chǔ)在滿足體積約束,并且當(dāng)前時(shí)刻與其相關(guān)性最大的巷道中,而在每一個(gè)巷道內(nèi),商品都是隨機(jī)存儲(chǔ)的。固定存儲(chǔ)的貨位優(yōu)化是一勞永逸的,而文本中,每一種商品上架時(shí),都會(huì)根據(jù)最新的商品相關(guān)性實(shí)時(shí)進(jìn)行貨位優(yōu)化,這正體現(xiàn)了隨機(jī)存儲(chǔ)的靈活多變。通過(guò)縮短揀貨員行走的路徑,既能夠發(fā)揮隨機(jī)存儲(chǔ)的優(yōu)勢(shì),又能夠提高配送中心的出庫(kù)時(shí)效。
[Abstract]:Distribution speed is an important index to measure the competitiveness and service ability of B-2 C e-commerce enterprises. With the steady growth of sales volume and business income, distribution speed has become an important indicator of competition among e-commerce enterprises. In the investigation of Z Company and its PEK distribution center, it is found that 31% of the delays caused by human factors are due to the late delivery of goods ordered in the distribution center. Through further analysis, we can know that PEK distribution center is a manual picking distribution center, and it adopts a random storage strategy. Although this storage strategy can speed up the loading of goods and increase the utilization rate of storage, However, due to the increase of picker's walking path, it affects the delivery time of delivery center order goods. The optimization of cargo location is a key point that affects the limitation of delivery in distribution center. Whether the goods can be allocated reasonably or not directly affects whether the goods can be put on shelves quickly and be selected accurately according to the demand and leave the warehouse in time, thus affecting the overall service ability of the e-commerce enterprises. Under the random storage strategy, how to optimize the cargo location becomes the main problem of Z company PEK distribution center to enhance the time of delivery. In this paper, the artificially selected PEK distribution center is taken as the research object. The distribution of goods in PEK distribution center is lack of reasonable planning, and the efficiency of delivery is low, and so on. In this paper, the problem of cargo location optimization in the initial state of distribution center and the problem of cargo location optimization when goods are already in stock are studied respectively. In the initialization state, considering the frequency of goods out of storage, combining the close to export principle and the correlation between commodities, the goods with high correlation are stored in the adjacent cargo location, and the goods with high frequency of exit are placed in the roadway near the exit. Over time, the correlation between commodities is constantly changing. In the distribution center where the goods already exist, the dynamic process of goods entering and out of the warehouse is simulated, and the dynamic correlation between the goods on the shelf and the goods in the whole roadway is considered. The correlation coefficient between commodities is calculated according to the latest historical orders, and the goods on the shelves are stored in the roadway which satisfies the volume constraint and is most relevant at the present time. In each laneway, the goods are stored randomly. The fixed-storage cargo location optimization is once and for all, and in the text, when each kind of goods is put on shelves, it will carry on the goods position optimization according to the latest commodity correlation in real time, which reflects the flexibility of random storage. The advantage of random storage and the time limit of delivery center can be improved by shortening the path of sorting staff.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：F252;F713.36

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本文編號(hào)：1899832