模型預(yù)測(cè)控制在閉環(huán)供應(yīng)鏈網(wǎng)絡(luò)協(xié)同中的應(yīng)用研究
[Abstract]:In this paper, the model predictive control method is used to study the cooperative model of closed-loop supply chain network under uncertain conditions, and the algorithm is solved. A three-level closed-loop supply chain considering remanufacturing and return and a closed-loop supply chain considering the recycling center are analyzed, with emphasis on the production and inventory control of the closed-loop supply chain. The corresponding mathematical model of inventory balance is constructed and the model predictive control method in control theory is used to carry out production and inventory control. The simulation curve is ideal and the bullwhip effect is reduced and the expected purpose is achieved. It provides theoretical guidance for the production and inventory control of closed-loop supply chain. The main work of this paper is as follows: first, the background of the closed-loop supply chain is expounded, the current situation and shortcomings of the closed-loop supply chain research in China are analyzed, and a new research direction is put forward. The basic theory of closed-loop supply chain is summarized systematically, including: the concept of supply chain, the definition of reverse logistics, and then extends to the concept, background, implementation and field of closed-loop supply chain, design principles, implementation issues, etc. Through two typical closed-loop supply chain operation mode to discuss the image. Third, the basic theory of model predictive control is expounded. The research status of model predictive control in supply chain is summarized briefly. The problem of bullwhip effect is introduced. Fourthly, the inventory equilibrium state space model is established for a three-level closed-loop supply chain considering remanufacture and return. The unconstrained and constrained cases are solved respectively. The performance curve of production, inventory and bullwhip effect is obtained. Fifth, the inventory equilibrium state space model of a closed-loop supply chain considering recovery center is established, and then the state estimation and prediction are introduced, and the objective function is introduced. The necessary formulas are deduced, and then an example is given to solve the unconstrained and constrained cases. The performance curves of production inventory and bullwhip effect are obtained. Finally the innovation points of this paper are summarized and the limitations of this paper and the direction of further improvement and further research are pointed out.
【學(xué)位授予單位】:沈陽(yáng)理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:F274;TP13
【參考文獻(xiàn)】
相關(guān)期刊論文 前8條
1 朱宏,郭海峰,黃小原;供應(yīng)商管理庫(kù)存的利潤(rùn)模型及其優(yōu)化策略[J];東北大學(xué)學(xué)報(bào);2004年05期
2 李昌磊;趙眾;;模型預(yù)測(cè)控制器的廣義最小方差性能評(píng)價(jià)[J];北京化工大學(xué)學(xué)報(bào)(自然科學(xué)版);2011年03期
3 褚健,潘紅華,蘇宏業(yè);預(yù)測(cè)控制技術(shù)的現(xiàn)狀和展望[J];機(jī)電工程;1999年05期
4 馬士華;供應(yīng)鏈運(yùn)作管理的框架模型[J];計(jì)算機(jī)集成制造系統(tǒng)-CIMS;2002年08期
5 鐘昌寶;聶茂林;徐永其;;基于灰色馬爾柯夫改進(jìn)模型預(yù)測(cè)供應(yīng)鏈獨(dú)立需求[J];情報(bào)雜志;2009年07期
6 馬祖軍;代穎;;基于穩(wěn)健優(yōu)化的制造/再制造集成物流網(wǎng)絡(luò)設(shè)計(jì)[J];西南交通大學(xué)學(xué)報(bào);2006年05期
7 黃小原,王靜;供應(yīng)鏈中的牛鞭效應(yīng)問題研究進(jìn)展:存在、量化與控制[J];信息與控制;2004年05期
8 張欽,達(dá)慶利,沈厚才;在ARIMA(0,1,1)需求下的牛鞭效應(yīng)與信息共享的評(píng)價(jià)[J];中國(guó)管理科學(xué);2001年06期
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