本文選題：冷鏈物流 + 路徑優(yōu)化　； 參考：《東華大學》2017年碩士論文

【摘要】：隨著我國經(jīng)濟社會的不斷發(fā)展,快節(jié)奏的生活步履和高水平的生活質(zhì)量對食物及日用品均提出了較高的保鮮保質(zhì)要求,導(dǎo)致冷鏈物流配送的重要性日益增強。而我國現(xiàn)代化冷鏈物流配送行業(yè)還處于起步階段,冷鏈物流配送成本居高不下,嚴重阻礙冷鏈物流進一步發(fā)展。如何優(yōu)化冷鏈物流配送路徑,節(jié)省費用,加快貨物流通,減少碳排放量,增加物流企業(yè)收益,已成為當前研究熱點。上海鑫宜公司是一家專業(yè)從事生鮮產(chǎn)品配送的冷鏈物流企業(yè),其冷鏈物流配送運營中存在成本高,客戶滿意度低,配送效率差等方面的問題。因此,研究上海鑫宜公司冷鏈物流配送路徑優(yōu)化具有實際意義。本文以上海鑫宜公司為研究對象,研究鑫宜公司的冷鏈物流配送路徑優(yōu)化模型構(gòu)建和改進粒子群算法的模型求解問題。首先介紹了冷鏈物流的基本概念和特點、冷鏈物流路徑優(yōu)化概念及構(gòu)成要素和研究現(xiàn)狀,以及求解路徑優(yōu)化問題的主要算法,從而對冷鏈物流路徑優(yōu)化有了較為全面系統(tǒng)的理解;其次,對上海鑫宜公司冷鏈物流配送現(xiàn)狀及問題進行深入系統(tǒng)分析,并據(jù)此對影響冷鏈物流配送成本的因素實施系統(tǒng)梳理,引入總成本概念,具體包括固定成本、運輸成本、貨損成本、碳排放成本及時間懲罰成本,構(gòu)建目標函數(shù)模型,從客戶、車輛兩方面設(shè)計模型約束條件,形成以總成本最小化的冷鏈物流路徑優(yōu)化決策模型;最后,結(jié)合鑫宜公司的實際配送數(shù)據(jù),運用MATLAB軟件進行路徑優(yōu)化仿真,驗證了改進粒子群算法在解決路徑優(yōu)化問題的可行性,并從車輛分配方式、車輛路徑以及客戶服務(wù)時間協(xié)調(diào)等方面提出鑫宜公司A冷鏈物流配送中心的配送方案優(yōu)化建議。
[Abstract]:With the development of our country's economy and society, the fast pace of life and the high quality of life have put forward higher requirements for food and daily necessities, which leads to the increasing importance of cold chain logistics distribution. The modern cold chain logistics distribution industry in China is still in its infancy. The high cost of cold chain logistics distribution seriously hinders the further development of cold chain logistics. How to optimize the cold chain logistics distribution route, save the cost, speed up the circulation of goods, reduce carbon emissions, and increase the revenue of logistics enterprises, has become the current research focus. Shanghai Xinyi Company is a cold chain logistics enterprise specialized in fresh and fresh product distribution. Its cold chain logistics operation has some problems such as high cost, low customer satisfaction, poor distribution efficiency and so on. Therefore, it is of practical significance to study the route optimization of cold chain logistics distribution in Shanghai Xinyi Company. In this paper, Shanghai Xinyi Company is taken as the research object to study the optimization model of cold chain logistics distribution path of Xinyi Company and the model solving problem of improved particle swarm optimization algorithm (PSO). Firstly, this paper introduces the basic concept and characteristics of cold chain logistics, the concept of cold chain logistics path optimization, its constituent elements and research status, and the main algorithms to solve the path optimization problem. Therefore, we have a more comprehensive and systematic understanding of the cold chain logistics route optimization. Secondly, the current situation and problems of cold chain logistics distribution in Shanghai Xinyi Company are systematically analyzed, and the factors affecting the cost of cold chain logistics distribution are systematically combed. This paper introduces the concept of total cost, including fixed cost, transportation cost, damage cost, carbon emission cost and time penalty cost, constructs the objective function model, and designs the constraint conditions of the model from two aspects of customer and vehicle. Finally, combining with the actual distribution data of Xinyi Company, the MATLAB software is used to simulate the path optimization. The feasibility of the improved particle swarm optimization (PSO) algorithm in solving the path optimization problem is verified, and some suggestions for optimizing the distribution scheme of the A cold chain logistics distribution center of Xinyi Company are put forward from the aspects of vehicle allocation, vehicle routing and customer service time coordination.
【學位授予單位】：東華大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：F259.2

【參考文獻】

相關(guān)期刊論文 前10條

1 王為民;;冷鏈物流配送聯(lián)盟的利益分配研究[J];經(jīng)營與管理;2016年12期

2 汪旭暉;張其林;;基于物聯(lián)網(wǎng)的生鮮農(nóng)產(chǎn)品冷鏈物流體系構(gòu)建:框架、機理與路徑[J];南京農(nóng)業(yè)大學學報(社會科學版);2016年01期

3 陳鏡羽;黃輝;;我國生鮮農(nóng)產(chǎn)品電子商務(wù)冷鏈物流現(xiàn)狀與發(fā)展研究[J];科技管理研究;2015年06期

4 袁學國;鄒平;朱軍;吳迪;;我國冷鏈物流業(yè)發(fā)展態(tài)勢、問題與對策[J];中國農(nóng)業(yè)科技導(dǎo)報;2015年01期

5 楊慧蓮;霍學喜;;我國生鮮農(nóng)產(chǎn)品社區(qū)直銷模式的優(yōu)化探析[J];商業(yè)時代;2014年19期

6 潘t，

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