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,公眾對環(huán)境的保護(hù)意識逐漸增強(qiáng),閉環(huán)供應(yīng)鏈應(yīng)運而生。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,同時涵蓋產(chǎn)品回收、維修、再制造、再利用等逆向物流活動。閉環(huán)供應(yīng)鏈具有高度不確定性的特征,受到來自內(nèi)部運作和外部環(huán)境不確定性因素的擾動,對其正常運作產(chǎn)生直接影響。因此,管理和控制這些不確定性因素對閉環(huán)供應(yīng)鏈運作的影響具有非常重要的理論和實踐意義。本文主要運用魯棒優(yōu)化方法對多種不確定環(huán)境下閉環(huán)供應(yīng)鏈的運作問題進(jìn)行研究,分別構(gòu)建了供求量不確定下、產(chǎn)品價格不確定下以及供求價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)對不確定性因素對其運作策略和運作性能的影響提供一種研究方法。在閉環(huán)供應(yīng)鏈的實際運作過程中,綜合考慮供應(yīng)鏈協(xié)調(diào)性、制造商利潤最優(yōu)化以及供應(yīng)商利潤最優(yōu)化三個目標(biāo)。主要研究工作如下:第一,研究了消費市場產(chǎn)品需求量和原材料市場供應(yīng)量均不確定下的閉環(huán)供應(yīng)鏈運作的魯棒優(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閉環(huán)供應(yīng)鏈運作性能產(chǎn)生的影響。并設(shè)計數(shù)值算例探討供求量不確定性和廢舊產(chǎn)品回收率對制造商利潤、供應(yīng)商利潤以及系統(tǒng)總利潤的影響,驗證所建立模型的魯棒性。第二,研究了產(chǎn)品價格不確定下以及產(chǎn)品價格和原材料價格均不確定下的閉環(huán)供應(yīng)鏈運作的魯棒優(yōu)化模型。采用連續(xù)有界對稱區(qū)間來表示產(chǎn)品價格和原材料價格的不確定性,運用基于區(qū)間分析的魯棒優(yōu)化方法來處理供求價格不確定性對供應(yīng)鏈運作性能產(chǎn)生的影響。并設(shè)計數(shù)值算例驗證所構(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)。基于供求量不確定下、產(chǎn)品價格不確定下以及供求價格不確定下的魯棒優(yōu)化模型,設(shè)計系統(tǒng)關(guān)鍵算法并模擬系統(tǒng)功能。最后運用魯棒優(yōu)化模型系統(tǒng)對閉環(huán)供應(yīng)鏈進(jìn)行實證研究,為不確定環(huán)境下閉環(huán)供應(yīng)鏈的生產(chǎn)運作決策提供系統(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)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：F274

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