本文選題：選址 + 物流網(wǎng)絡(luò)��； 參考：《北京交通大學(xué)》2017年碩士論文

【摘要】：G公司是一家食糖B2B電子商務(wù)平臺,該交易平臺是目前我國最大的食糖現(xiàn)貨批發(fā)交易市場。G公司主要通過電子商務(wù)平臺和現(xiàn)代物流建設(shè),為在該平臺進行交易的食糖廠商、經(jīng)銷商及客戶提供信息咨詢、購銷、結(jié)算和配送等一站式配套服務(wù)。目前,G公司在食糖產(chǎn)地(廣西、云南和廣東)布局了大量的倉庫,而對于遍布全國各省市的食糖需求地只有很少的倉庫,有些地區(qū)甚至沒有倉庫,這種"重產(chǎn)地、輕銷地"的物流網(wǎng)絡(luò)布局產(chǎn)生了供需不匹配、地域不匹配、配送成本過高、倉庫閑置浪費等問題。在此背景下,需要針對G公司目前面臨的問題,研究其物流中心進行布局,在需求地新租賃二級物流中心的選址,解決基于食糖需求預(yù)測的從總部(一級物流中心)預(yù)調(diào)撥(預(yù)配送)食糖到二級物流中心的問題,滿足需求地的食糖交收,優(yōu)化現(xiàn)有的物流網(wǎng)絡(luò),完善配送體系。首先,本文對G公司業(yè)務(wù)現(xiàn)狀及其物流現(xiàn)狀進行分析,明確其現(xiàn)狀中存在的問題,并分析了問題產(chǎn)生的原因在于其現(xiàn)有的物流網(wǎng)絡(luò)布局不合理,在此基礎(chǔ)上提出新增二級物流配送中心的解決思路;其次,分析不同選址方法的優(yōu)缺點和適用情況,考慮G公司的實際情況以及選址因素,選取混合整數(shù)規(guī)劃選址模型;然后,預(yù)測需求地的食糖需求量,并從社會公共倉庫中確定18個備選物流中心;接著以運輸成本、倉儲成本(包括租金和管理費用)和裝卸搬運成本總和最低為目標(biāo),以滿足客戶需求等要求為約束條件,應(yīng)用Lingo軟件編程進行求解,得出了不同數(shù)量的物流中心所對應(yīng)的最低物流成本,并綜合分析比較,以總物流成本最低確定最佳選址方案,得出最優(yōu)配送方案;最后,對計算結(jié)果做了分析評價,證明選址方案的合理性;此外,本文在計算出的最優(yōu)配送方案的基礎(chǔ)上考慮了食糖的季節(jié)性規(guī)律,提出實施建議,以期為G公司提供合理的物流中心選址方案,解決G公司在物流中心布局中存在的問題。
[Abstract]:G Company is a sugar B2B e-commerce platform, the trading platform is the largest spot sugar wholesale trading market. G company mainly through e-commerce platform and modern logistics construction, for the platform trading sugar manufacturers.Dealers and customers provide information advice, purchase and marketing, settlement and distribution and other one-stop support services.At present, company G has laid out a large number of warehouses in sugar producing areas (Guangxi, Yunnan and Guangdong), but there are only a few warehouses for sugar demand in provinces and cities all over the country. In some areas, there are even no warehouses. This kind of "heavy production area,"The logistics network layout of "light selling place" produces problems such as mismatch of supply and demand, mismatch of region, high cost of distribution, idle waste of warehouse and so on.In this context, it is necessary to study the layout of the logistics center and the location of the new lease secondary logistics center in the demand area, aiming at the problems that G company is facing at present.To solve the problem of sugar pre-allocation (pre-distribution) from headquarters (first-level logistics center) to secondary logistics center based on sugar demand prediction, to meet the demand for sugar delivery, optimize the existing logistics network, and improve the distribution system.First of all, this paper analyzes the current business situation and logistics status of G Company, clarifies the existing problems, and analyzes the causes of the problem lies in the unreasonable layout of the existing logistics network.On this basis, the solution of the new secondary logistics distribution center is put forward. Secondly, the advantages and disadvantages of different location methods and their applicability are analyzed. Considering the actual situation and location factors of G company, the mixed integer programming location model is selected.Predict sugar demand in the place of demand and identify 18 alternative logistics centres from social public warehouses; then aim at the lowest combined transport costs, warehousing costs (including rental and management costs) and handling costs,In order to meet the requirements of customers and other requirements, Lingo software is used to solve the problem. The minimum logistics cost corresponding to different logistics centers is obtained, and the best location scheme is determined by comprehensive analysis and comparison with the lowest total logistics cost.Finally, the calculation results are analyzed and evaluated to prove the rationality of the site selection scheme. In addition, the seasonal rule of sugar is considered on the basis of the calculated optimal distribution scheme, and the implementation suggestions are put forward.In order to provide G company with reasonable logistics center location plan, solve the problem of G company in logistics center layout.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：F426.82;F724.6;F252

【參考文獻】

相關(guān)期刊論文 前10條

1 占義芳;;基于集合覆蓋模型的物流企業(yè)選址問題研究[J];中國市場;2015年24期

2 喬聯(lián)寶;;覆蓋類選址問題分類及研究綜述[J];物流科技;2015年03期

3 蘇慶強;;食糖流通領(lǐng)域的應(yīng)用及成效分析[J];物流工程與管理;2014年07期

4 楊s，

本文編號：1734367