本文關(guān)鍵詞：不確定環(huán)境下閉環(huán)供應(yīng)鏈魯棒優(yōu)化模型的設(shè)計(jì)與模擬　出處：《北京交通大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 閉環(huán)供應(yīng)鏈 魯棒優(yōu)化 不確定性

【摘要】：隨著全球經(jīng)濟(jì)的快速發(fā)展,世界范圍內(nèi)資源日益減少,公眾對(duì)環(huán)境的保護(hù)意識(shí)逐漸增強(qiáng),閉環(huán)供應(yīng)鏈應(yīng)運(yùn)而生。閉環(huán)供應(yīng)鏈與正向供應(yīng)鏈相比,網(wǎng)絡(luò)結(jié)構(gòu)更加復(fù)雜,同時(shí)涵蓋產(chǎn)品回收、維修、再制造、再利用等逆向物流活動(dòng)。閉環(huán)供應(yīng)鏈具有高度不確定性的特征,受到來自內(nèi)部運(yùn)作和外部環(huán)境不確定性因素的擾動(dòng),對(duì)其正常運(yùn)作產(chǎn)生直接影響。因此,管理和控制這些不確定性因素對(duì)閉環(huán)供應(yīng)鏈運(yùn)作的影響具有非常重要的理論和實(shí)踐意義。本文主要運(yùn)用魯棒優(yōu)化方法對(duì)多種不確定環(huán)境下閉環(huán)供應(yīng)鏈的運(yùn)作問題進(jìn)行研究,分別構(gòu)建了供求量不確定下、產(chǎn)品價(jià)格不確定下以及供求價(jià)格不確定下的魯棒優(yōu)化模型,并基于上述模型進(jìn)行系統(tǒng)模擬,為閉環(huán)供應(yīng)鏈應(yīng)對(duì)不確定性因素對(duì)其運(yùn)作策略和運(yùn)作性能的影響提供一種研究方法。在閉環(huán)供應(yīng)鏈的實(shí)際運(yùn)作過程中,綜合考慮供應(yīng)鏈協(xié)調(diào)性、制造商利潤(rùn)最優(yōu)化以及供應(yīng)商利潤(rùn)最優(yōu)化三個(gè)目標(biāo)。主要研究工作如下:第一,研究了消費(fèi)市場(chǎng)產(chǎn)品需求量和原材料市場(chǎng)供應(yīng)量均不確定下的閉環(huán)供應(yīng)鏈運(yùn)作的魯棒優(yōu)化模型。采用已知概率的離散情景來表示供求量的不確定性,運(yùn)用基于情景分析的魯棒優(yōu)化方法來處理供求量不確定性對(duì)閉環(huán)供應(yīng)鏈運(yùn)作性能產(chǎn)生的影響。并設(shè)計(jì)數(shù)值算例探討供求量不確定性和廢舊產(chǎn)品回收率對(duì)制造商利潤(rùn)、供應(yīng)商利潤(rùn)以及系統(tǒng)總利潤(rùn)的影響,驗(yàn)證所建立模型的魯棒性。第二,研究了產(chǎn)品價(jià)格不確定下以及產(chǎn)品價(jià)格和原材料價(jià)格均不確定下的閉環(huán)供應(yīng)鏈運(yùn)作的魯棒優(yōu)化模型。采用連續(xù)有界對(duì)稱區(qū)間來表示產(chǎn)品價(jià)格和原材料價(jià)格的不確定性,運(yùn)用基于區(qū)間分析的魯棒優(yōu)化方法來處理供求價(jià)格不確定性對(duì)供應(yīng)鏈運(yùn)作性能產(chǎn)生的影響。并設(shè)計(jì)數(shù)值算例驗(yàn)證所構(gòu)建模型的魯棒性。第三,研究模擬了魯棒優(yōu)化模型系統(tǒng)�；诠┣罅坎淮_定下、產(chǎn)品價(jià)格不確定下以及供求價(jià)格不確定下的魯棒優(yōu)化模型,設(shè)計(jì)系統(tǒng)關(guān)鍵算法并模擬系統(tǒng)功能。最后運(yùn)用魯棒優(yōu)化模型系統(tǒng)對(duì)閉環(huán)供應(yīng)鏈進(jìn)行實(shí)證研究,為不確定環(huán)境下閉環(huán)供應(yīng)鏈的生產(chǎn)運(yùn)作決策提供系統(tǒng)支持。
[Abstract]:With the rapid development of the global economy, the resources in the world are decreasing day by day, and the public's awareness of environmental protection is increasing gradually. The closed-loop supply chain emerges as the times require, and the closed-loop supply chain is compared with the forward supply chain. The network structure is more complex and covers reverse logistics activities such as product recovery, maintenance, remanufacturing, reuse and so on. The closed-loop supply chain is characterized by a high degree of uncertainty. Disturbances from internal and external environmental uncertainties have a direct impact on their normal functioning. Management and control of these uncertainties have very important theoretical and practical significance to the operation of closed-loop supply chain. This paper mainly applies robust optimization method to the operation of closed-loop supply chain in many uncertain environments. To conduct research. The robust optimization models under the uncertainty of supply and demand quantity, product price uncertainty and supply and demand price uncertainty are constructed, and the system simulation is carried out based on the above models. It provides a research method for the closed-loop supply chain to deal with the influence of uncertain factors on its operation strategy and operational performance. In the actual operation process of the closed-loop supply chain, the coordination of supply chain is considered comprehensively. Manufacturer profit optimization and supplier profit optimization three objectives. The main research work is as follows: first. This paper studies the robust optimization model of closed-loop supply chain operation under the uncertainty of product demand and raw material market supply in consumer market. The uncertainty of supply and demand is represented by discrete scenarios with known probability. The robust optimization method based on scenario analysis is used to deal with the effect of supply and demand uncertainty on the operation performance of closed-loop supply chain. A numerical example is designed to discuss the effect of uncertainty of supply and demand and recovery rate of waste products on manufacturer's profit. Run. The influence of the supplier profit and the total profit of the system to verify the robustness of the established model. Second. In this paper, the robust optimization model of closed-loop supply chain operation under uncertain product price and uncertain product and raw material prices is studied. The continuous bounded symmetric interval is used to express the uncertainty of product price and raw material price. Qualitative. The robust optimization method based on interval analysis is used to deal with the effect of supply and demand price uncertainty on the operational performance of supply chain. A numerical example is designed to verify the robustness of the proposed model. Third. The robust optimization model system is studied and simulated. Based on the uncertainty of supply and demand, the product price is uncertain and the supply and demand price is uncertain. The key algorithms of the system are designed and the system functions are simulated. Finally, the robust optimization model system is used to study the closed-loop supply chain empirically, which provides the system support for the production and operation decision of the closed-loop supply chain under uncertain environment.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：F274

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 劉家財(cái);趙文健;李正紅;;含直覺模糊數(shù)的物流供應(yīng)鏈合作伙伴優(yōu)選[J];鐵道運(yùn)輸與經(jīng)濟(jì);2016年11期

2 張曙紅;魏永長(zhǎng);;再制造閉環(huán)供應(yīng)鏈的混合庫存動(dòng)態(tài)模型及其魯棒控制[J];計(jì)算機(jī)應(yīng)用研究;2015年09期

3 楊傳明;李曉峰;王佳;;供應(yīng)鏈不確定性管理研究述評(píng)與展望[J];科技管理研究;2014年12期

4 王知津;周鵬;韓正彪;;基于情景分析法的技術(shù)預(yù)測(cè)研究[J];圖書情報(bào)知識(shí);2013年05期

5 裴學(xué)亮;田也壯;孫洪義;;制造企業(yè)供應(yīng)鏈協(xié)調(diào)與績(jī)效關(guān)系:環(huán)境不確定性視角下的實(shí)證研究[J];管理評(píng)論;2013年03期

6 徐兵;吳明;;雙渠道閉環(huán)供應(yīng)鏈的三種回收模式的建模分析[J];數(shù)學(xué)的實(shí)踐與認(rèn)識(shí);2012年11期

7 陳敬賢;王國(guó)華;梁j;;供應(yīng)鏈系統(tǒng)中零售商橫向轉(zhuǎn)載的隨機(jī)規(guī)劃模型及算法[J];系統(tǒng)工程理論與實(shí)踐;2012年04期

8 田俊峰;楊梅;岳勁峰;;具有遺憾值約束的魯棒供應(yīng)鏈網(wǎng)絡(luò)設(shè)計(jì)模型研究[J];管理工程學(xué)報(bào);2012年01期

9 劉枚蓮;李慧蘭;邱建偉;;基于模糊規(guī)劃的電子廢棄物逆向物流網(wǎng)絡(luò)設(shè)計(jì)[J];工業(yè)工程與管理;2011年02期

10 莎娜;季建華;陳祥國(guó);;供應(yīng)鏈不確定性的情景分析探討[J];情報(bào)雜志;2011年02期

相關(guān)會(huì)議論文 前1條

1 喻瑛;;基于模糊規(guī)劃的供應(yīng)鏈系統(tǒng)建模綜述[A];節(jié)能環(huán)保 和諧發(fā)展——2007中國(guó)科協(xié)年會(huì)論文集（一）[C];2007年

相關(guān)博士學(xué)位論文 前2條

1 張萍;不確定條件下供應(yīng)鏈魯棒優(yōu)化模型及算法研究[D];華中科技大學(xué);2011年

2 田俊峰;不確定性條件下供應(yīng)鏈管理優(yōu)化模型及算法研究[D];西南交通大學(xué);2005年

相關(guān)碩士學(xué)位論文 前6條

1 陳思圓;鐵礦石供應(yīng)不確定下的鋼鐵供應(yīng)鏈魯棒性分析[D];北京交通大學(xué);2014年

2 易婭婭;不確定環(huán)境下閉環(huán)供應(yīng)鏈系統(tǒng)網(wǎng)絡(luò)魯棒優(yōu)化模型研究[D];武漢理工大學(xué);2013年

3 孫筱寒;考慮質(zhì)量因素的供應(yīng)鏈決策魯棒優(yōu)化模型[D];東北大學(xué);2012年

4 陳紅萍;基于內(nèi)外環(huán)境不確定的供應(yīng)鏈多目標(biāo)決策模型研究[D];北京交通大學(xué);2010年

5 張學(xué)坤;供應(yīng)鏈中的不確定性分析及對(duì)策研究[D];大連海事大學(xué);2006年

6 茆劍;基于混合遺傳算法的供應(yīng)鏈物流設(shè)施選址優(yōu)化[D];河海大學(xué);2006年

，

本文編號(hào)：1413258