百蝶超市自營配送中心運營方案優(yōu)化設計
本文關鍵詞:百蝶超市自營配送中心運營方案優(yōu)化設計 出處:《山東大學》2017年碩士論文 論文類型:學位論文
【摘要】:連鎖超市要在激烈競爭的市場中發(fā)展下去,一定要有高效率的物流配送作保證,以高質(zhì)量的服務,快速響應顧客的需要。物流配送技術作為連鎖超市經(jīng)營運作過程中的重要環(huán)節(jié)自然就演變?yōu)槠髽I(yè)之間的核心競爭力。但是目前國內(nèi)配送中心盲目效仿國外引進先進的物流設施設備,卻沒有合理利用運營方案去運作配送中心生產(chǎn),導致配送中心存在諸如設備先進但應用落后、庫存不足、揀貨效率低、運營流程繁瑣、管理落后等問題。本文以百蝶超市自營配送中心為模型,從儲位管理、采購策略與庫存控制、揀貨策略、作業(yè)組織四個方面,對該配送中心運營中存在的問題進行優(yōu)化設計。1.運用PCB分析對運營數(shù)據(jù)進行研究,對揀貨設備及儲存能力進行測算,為配送中心儲位和揀貨系統(tǒng)優(yōu)化打下基礎;2.依據(jù)ABC分析法的原理,對配送中心在庫商品進行儲位安排,建議周轉(zhuǎn)率高的A類貨,安排在離出貨區(qū)最近且方便儲存的貨架第一層;周轉(zhuǎn)率一般的B類貨安排在貨架第二層、周轉(zhuǎn)率低的C類貨安排在貨架三層以上即可。為了提高出庫效率,建議將存放在閣樓式貨架區(qū)的A類貨移至電子標簽揀貨區(qū)。3.通過安全庫存、固定訂貨點分析、定貨批量分析的方法對配送中心三種有代表性的商品進行了研究,并給出三種產(chǎn)品的訂貨到達預測及缺貨分析建議,對緩沖供需不平衡、控制物流成本、提高庫存可得率和客戶訂單滿意度方面起到了重要的作用。4.運用EIQ分析法,剖析揀貨策略;根據(jù)百蝶配送中心歷史數(shù)據(jù)重點以6張訂單為例,為配送中心提供了分析處理訂單的方法、標準化作業(yè)流程設計方案;并針對拆零作業(yè)提出了相應的提高揀選效率的方案。5.利用5H1W法則和ECRS法則規(guī)范作業(yè)流程,結(jié)合甘特圖找出在揀選作業(yè)中存在的諸如訂單處理有誤,倉庫布局不合理、搬運設備擺放過遠等問題,并提出合理化改進建議。本文所得結(jié)論可為其他連鎖超市自營配送中心提供一些可以借鑒的經(jīng)驗。
[Abstract]:In order to develop in the fierce competition market, the chain supermarket must have the high efficiency logistics distribution as the guarantee, with the high quality service. As an important link in the operation of chain supermarkets, logistics distribution technology has naturally evolved into the core competitiveness among enterprises. But at present, domestic distribution centers blindly emulate the introduction of foreign countries. Incoming logistics facilities. But there is no reasonable use of the operation plan to operate distribution center production, resulting in the distribution center such as advanced equipment but backward application, lack of inventory, low efficiency of picking goods, cumbersome operation process. This paper takes Baidei supermarket self-distribution center as the model, from four aspects: storage management, purchasing strategy and inventory control, picking strategy, and operation organization. The problems existing in the operation of the distribution center were optimized design. 1. PCB analysis was used to study the operation data and to calculate the picking equipment and storage capacity. Lay the foundation for the distribution center storage and picking system optimization; 2.According to the principle of ABC analysis, the storage arrangement of goods in warehouse in distribution center is carried out. It is suggested that A goods with high turnover should be arranged on the first floor of shelves nearest to the shipping area and conveniently stored. General turnover B goods arrangement in the second layer of the shelf, low turnover C goods arrangement in the shelf above three layers. In order to improve the efficiency of delivery. It is suggested that the category A goods stored in the attic shelf area be moved to the electronic label picking area .3. through the safety inventory, the fixed order point analysis is carried out. The method of order batch analysis is used to study three representative commodities in distribution center, and the order arrival prediction and shortage analysis suggestions are given to buffer the imbalance between supply and demand, and to control the logistics cost. Improve the inventory yield and customer order satisfaction played an important role. 4. Using EIQ analysis to analyze the picking strategy; According to the historical data of Baidei Distribution Center, six orders are taken as an example to provide the distribution center with the method of analyzing and processing orders and the design scheme of standardized operation flow. The paper also puts forward the corresponding scheme to improve the picking efficiency. 5. using 5H1 W rule and ECRS rule to standardize the operation flow. Combined with Gantt chart to find out the existing problems in sorting operations such as order processing errors warehouse layout unreasonable handling equipment placed too far and so on. The conclusions of this paper can provide some experience for other chain supermarket self-distribution centers.
【學位授予單位】:山東大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:F721.7;F252.1
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