發(fā)布時(shí)間：2018-06-01 12:52

  本文選題：電子商務(wù)供應(yīng)鏈 + 庫存路徑�。� 參考：《華中師范大學(xué)》2014年碩士論文

【摘要】：隨著全球信息技術(shù)的飛速發(fā)展、世界貿(mào)易的不斷變化,企業(yè)面對(duì)的競爭形勢越來越復(fù)雜化。電子商務(wù)的發(fā)展使得企業(yè)的競爭不再單獨(dú)是產(chǎn)品之間的競爭了,逐漸地演變?yōu)槠髽I(yè)與企業(yè)之間供應(yīng)鏈之間的競爭。而為了在供應(yīng)鏈的競爭中取得較大優(yōu)勢,必須結(jié)合企業(yè)的物流系統(tǒng)集成優(yōu)化企業(yè)的供應(yīng)鏈。庫存策略和運(yùn)輸成本控制這兩個(gè)問題一直是物流系統(tǒng)研究中相當(dāng)重要的議題,國內(nèi)外許多學(xué)者致力于這方面的研究,并取得了一定的成效,尤其改善了企業(yè)的運(yùn)作效率,大大提高了產(chǎn)品競爭力。電子商務(wù)的飛躍發(fā)展同時(shí)導(dǎo)致了在物流系統(tǒng)中大量退貨的產(chǎn)生,由此產(chǎn)生了逆向物流。本文這大背景下,研究了電子商務(wù)供應(yīng)鏈環(huán)境下的IRP問題,建立加入逆向物流的IRP模型,并設(shè)計(jì)適合的求解算法。 本文的主要內(nèi)容主要分為以下五個(gè)部分 第一章,主要介紹了包含逆向物流IRP這一問題的研究背景,已經(jīng)研究這一議題的實(shí)際意義；綜合闡述了IRP以及逆向物流的國內(nèi)外研究現(xiàn)狀,同時(shí)總結(jié)歸納了本文的研究內(nèi)容,并與以往論文比較,闡釋了本文的創(chuàng)新點(diǎn)； 第二章,重點(diǎn)撰寫了本文所運(yùn)用到的算法：第一部分的模擬退火算法；第二部分的禁忌搜索算法,介紹了他們的相關(guān)理論和思想,以及這兩種算法的一般求解流程； 第三章,基于電子商務(wù)供應(yīng)鏈的背景下,客戶由于個(gè)人喜好產(chǎn)生的退貨,從而形成了逆向物流,圍繞這一問題建立包含逆向物流的兩級(jí)物流系統(tǒng)IRP模型,并在標(biāo)準(zhǔn)的模擬退火算法的基礎(chǔ)上設(shè)計(jì)了改進(jìn)的模擬退火算法,通過相關(guān)數(shù)據(jù)庫中的數(shù)據(jù)實(shí)例驗(yàn)證本模型的可行性,從求解結(jié)果來印證算法的優(yōu)越性； 第四章,基于電子商務(wù)供應(yīng)鏈的背景下,由于產(chǎn)品本身質(zhì)量問題,形成了退貨的逆向物流,圍繞這一問題建立包含逆向物流的三級(jí)物流系統(tǒng)閉環(huán)IRP模型,并在標(biāo)準(zhǔn)的禁忌搜索算法的基礎(chǔ)上設(shè)計(jì)了改進(jìn)的禁忌搜索算法,通過相關(guān)數(shù)據(jù)庫中的數(shù)據(jù)實(shí)例驗(yàn)證本模型的可行性,從求解結(jié)果來印證算法的優(yōu)越性； 第五章,總結(jié)和展望。對(duì)本文全文內(nèi)容進(jìn)行總結(jié),并指出本研究問題未來的研究方向。
[Abstract]:With the rapid development of global information technology and the constant change of world trade, the competition situation faced by enterprises is becoming more and more complicated. With the development of electronic commerce, the competition of enterprises is no longer the competition between products, but gradually changes into the competition between enterprises and supply chains. In order to gain more advantages in the competition of supply chain, it is necessary to integrate and optimize the supply chain of enterprises with logistics system. Inventory strategy and transportation cost control have been very important issues in the research of logistics system. Many scholars at home and abroad have devoted themselves to the research, and have achieved certain results, especially improving the operational efficiency of enterprises. Greatly improve the competitiveness of the product. The rapid development of electronic commerce also leads to a large number of returns in the logistics system, resulting in reverse logistics. In this paper, the IRP problem in e-commerce supply chain environment is studied, the IRP model of reverse logistics is established, and a suitable algorithm is designed. The main contents of this paper are divided into the following five parts The first chapter mainly introduces the research background of the problem including reverse logistics (IRP), which has already studied the practical significance of this topic, comprehensively expounds the domestic and foreign research status of IRP and reverse logistics, and summarizes the research contents of this paper. And compared with the previous papers, explained the innovation of this paper; The second chapter focuses on the algorithms used in this paper: the first part of the simulated annealing algorithm, the second part of the Tabu search algorithm, introduces their relevant theories and ideas, as well as the two algorithms of the general solution flow; In the third chapter, based on the background of e-commerce supply chain, the customer returns goods because of personal preference, which forms reverse logistics. Around this problem, a two-level logistics system IRP model including reverse logistics is established. The improved simulated annealing algorithm is designed on the basis of the standard simulated annealing algorithm. The feasibility of the model is verified by the data examples in the related database, and the superiority of the algorithm is verified from the solution results. The fourth chapter, based on the background of e-commerce supply chain, because of the quality problem of the product itself, the reverse logistics of return is formed. Around this problem, the closed-loop IRP model of three-level logistics system including reverse logistics is established. Based on the standard Tabu search algorithm, an improved Tabu search algorithm is designed. The feasibility of the model is verified by the data examples in the relevant database, and the superiority of the algorithm is verified from the solution results. Chapter five, summary and prospect. This paper summarizes the content of this paper, and points out the future research direction of this research.
【學(xué)位授予單位】：華中師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP18;F274

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