【摘要】：閉環(huán)供應(yīng)鏈因具有減少環(huán)境污染及資源耗費(fèi)等功能，引起了研究機(jī)構(gòu)和政府部門的普遍關(guān)注，自20世紀(jì)90年代起，逆向供應(yīng)鏈活動(dòng)就開始受到前所未有的關(guān)注，隨后，整合的正向供應(yīng)鏈與逆向供應(yīng)鏈的閉環(huán)供應(yīng)鏈的研究開始成為學(xué)術(shù)界研究和企業(yè)界實(shí)踐的熱點(diǎn)方向。在閉環(huán)供應(yīng)鏈管理中，回收系統(tǒng)的構(gòu)建與運(yùn)營是一項(xiàng)非常關(guān)鍵而又復(fù)雜的工作，其龐大的工作體系需要不間斷的投入才能得以持續(xù)而有效的運(yùn)行，它決定著整個(gè)閉環(huán)供應(yīng)鏈的運(yùn)作績效。本文以再制造閉環(huán)供應(yīng)鏈為基礎(chǔ)，對(duì)回收系統(tǒng)的網(wǎng)絡(luò)構(gòu)建與實(shí)際運(yùn)行進(jìn)行研究，主要研究內(nèi)容如下： 首先，對(duì)閉環(huán)供應(yīng)鏈的相關(guān)理論知識(shí)進(jìn)行闡述，包括閉環(huán)供應(yīng)鏈的形成與發(fā)展，閉環(huán)供應(yīng)鏈的不確定性與魯棒性的研究等。 其次，在閉環(huán)供應(yīng)鏈網(wǎng)絡(luò)相關(guān)理論知識(shí)基礎(chǔ)上，考慮構(gòu)建再制造閉環(huán)供應(yīng)鏈回收系統(tǒng)網(wǎng)絡(luò)結(jié)構(gòu)的要素，這些要素主要包括：再制造閉環(huán)供應(yīng)鏈回收系統(tǒng)網(wǎng)絡(luò)結(jié)構(gòu)、網(wǎng)絡(luò)功能、節(jié)點(diǎn)規(guī)劃及流量分析。依據(jù)再制造閉環(huán)供應(yīng)鏈回收系統(tǒng)網(wǎng)絡(luò)構(gòu)建要素，對(duì)再制造閉環(huán)供應(yīng)鏈回收系統(tǒng)網(wǎng)絡(luò)及其特點(diǎn)進(jìn)行分析。同時(shí)，利用混合整數(shù)線性規(guī)劃方法，構(gòu)建一個(gè)再制造閉環(huán)供應(yīng)鏈回收系統(tǒng)網(wǎng)絡(luò)模型，據(jù)此可以確定回收系統(tǒng)網(wǎng)絡(luò)設(shè)施的規(guī)模、數(shù)量及位置、物流路徑及物流流量的分配方案。 再次，利用LINGO軟件對(duì)再制造閉環(huán)供應(yīng)鏈回收系統(tǒng)網(wǎng)絡(luò)模型進(jìn)行求解，通過數(shù)據(jù)仿真，在設(shè)定回收率與再制造率情況下，得到再制造閉環(huán)供應(yīng)鏈回收系統(tǒng)網(wǎng)絡(luò)設(shè)施的最佳位置、數(shù)量與規(guī)模。 最后，分析回收率與再制造率兩種關(guān)鍵不確定因素對(duì)再制造閉環(huán)供應(yīng)鏈回收系統(tǒng)網(wǎng)絡(luò)模型及模型解的影響，，運(yùn)用情景分析法，設(shè)定回收率與再制造率有限種組合情況下，驗(yàn)證模型的魯棒性及模型解的魯棒性。
[Abstract]:Due to the function of reducing environmental pollution and resource consumption, closed loop supply chain has aroused general concern of research institutions and government departments. Since 1990s, reverse supply chain activity has been paid unprecedented attention. After that, the study of closed supply chain of integrated forward supply chain and reverse supply chain has begun to become a academic circle. In the close loop supply chain management, in the closed-loop supply chain management, the construction and operation of the recovery system is a very critical and complex work. Its huge work system needs continuous input to be able to run continuously and effectively. It determines the operation performance of the whole closed loop supply chain. This paper is based on Remanufacturing closed loop. Based on the supply chain, the network construction and actual operation of the recovery system are studied. The main contents are as follows:
First, the relevant theoretical knowledge of the closed-loop supply chain is expounded, including the formation and development of the closed-loop supply chain, the uncertainty and robustness of the closed-loop supply chain.
Secondly, on the basis of the theoretical knowledge of closed loop supply chain network, the elements of building the network structure of remanufacturing closed-loop supply chain recovery system are considered. These factors include the network structure of remanufacturing closed-loop supply chain recovery system, network function, node planning and flow analysis. The network and its characteristics of remanufacturing closed loop supply chain recovery system are analyzed. At the same time, a remanufacturing closed loop supply chain recovery system network model is constructed by using mixed integer linear programming method. According to this, the scale, quantity and position of the network facilities of the recovery system, the distribution scheme of logistics path and logistics flow can be determined.
Thirdly, the LINGO software is used to solve the network model of remanufacturing closed-loop supply chain recovery system. Through data simulation, the optimal location, quantity and scale of remanufacturing network facilities of closed-loop supply chain recovery system are obtained under the condition of setting recovery rate and remanufacturing rate.
Finally, the effects of two key uncertainties of recovery rate and remanufacturing rate on the network model and model solution of remanufacturing closed-loop supply chain recovery system are analyzed. Using scenario analysis, the robustness of the model and the robustness of the model solution are verified by setting the limited combination of recovery rate and remanufacturing rate.
【學(xué)位授予單位】：湖南工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：F274;F713.2

【參考文獻(xiàn)】

相關(guān)期刊論文 前8條

1 韓小花;;不確定性閉環(huán)供應(yīng)鏈回收渠道的決策分析[J];工業(yè)技術(shù)經(jīng)濟(jì);2010年02期

2 姚衛(wèi)新;;電子商務(wù)條件下閉環(huán)供應(yīng)鏈物流網(wǎng)絡(luò)的設(shè)計(jì)[J];管理科學(xué);2005年06期

3 夏緒輝,劉飛,尹超,高全杰;供應(yīng)鏈、逆向供應(yīng)鏈管理與企業(yè)集成[J];計(jì)算機(jī)集成制造系統(tǒng)-CIMS;2003年08期

4 黃小原;晏妮娜;邱若臻;;一類參數(shù)和時(shí)滯不確定的閉環(huán)供應(yīng)鏈動(dòng)態(tài)模型與魯棒H_∞控制[J];計(jì)算機(jī)集成制造系統(tǒng);2007年07期

5 朱云龍;徐家旺;黃小原;葛汝剛;;逆向物流流量不確定閉環(huán)供應(yīng)鏈魯棒運(yùn)作策略設(shè)計(jì)[J];控制與決策;2009年05期

6 張英;魏明珠;;基于魯棒優(yōu)化的逆向物流網(wǎng)絡(luò)設(shè)計(jì)[J];物流工程與管理;2010年11期

7 徐家旺;黃小原;郭海峰;;需求不確定環(huán)境下閉環(huán)供應(yīng)鏈運(yùn)作的魯棒優(yōu)化模型[J];系統(tǒng)工程與電子技術(shù);2008年02期

8 樊松;張敏洪;;閉環(huán)供應(yīng)鏈中回收價(jià)格變化的回收渠道選擇問題[J];中國科學(xué)院研究生院學(xué)報(bào);2008年02期

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