模型预测控制在闭环供应链网络协同中的应用研究
发布时间:2018-10-13 10:04
【摘要】:本文采用模型预测控制方法研究了不确定条件下闭环供应链网络协同模型、求解算法问题。着重分析了一个考虑再制造及退货的三级闭环供应链与一个考虑了回收中心的闭环供应链,重点考虑闭环供应链的生产与库存控制,构建了相应的库存平衡数学模型并利用控制理论中的模型预测控制方法进行生产与库存控制,,仿真曲线较理想,减小了牛鞭效应,达到了预期目的。为企业中对闭环供应链的生产、库存控制提供了理论指导。本文的主要工作有: 第一,阐述了闭环供应链产生的背景,分析我国闭环供应链研究的现状和不足,提出了新的研究方向; 第二,对闭环供应链基础理论进行了系统地总结,包括:供应链的概念、逆向物流定义,然后延伸到闭环供应链的概念、背景、实施情况与领域、设计原则、实施问题等;通过两个典型的闭环供应链运作方式进行形象的探讨; 第三,对模型预测控制基本理论进行了阐述,并对模型预测控制在供应链领域的国内外研究现状进行了简要综述。介绍了牛鞭效应的问题; 第四,对一个考虑了再制造及退货的三级闭环供应链建立了库存平衡状态空间模型,随后进行了算例仿真,分别就无约束和有约束两种情况求解。得到生产、库存、牛鞭效应的性能曲线; 第五,对一个考虑回收中心的闭环供应链建立了库存平衡状态空间模型,然后对状态估计及预测、目标函数做了介绍,进行了必要的公式推导;随后进行了算例仿真,分别就无约束和有约束两种情况求解。得到生产、库存、牛鞭效应的性能曲线; 最后,总结了本文的创新点,指出本文的局限性及需要进一步完善和深入研究的方向。
[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.
【学位授予单位】:沈阳理工大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F274;TP13
本文编号:2268209
[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.
【学位授予单位】:沈阳理工大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F274;TP13
【参考文献】
相关期刊论文 前8条
1 朱宏,郭海峰,黄小原;供应商管理库存的利润模型及其优化策略[J];东北大学学报;2004年05期
2 李昌磊;赵众;;模型预测控制器的广义最小方差性能评价[J];北京化工大学学报(自然科学版);2011年03期
3 褚健,潘红华,苏宏业;预测控制技术的现状和展望[J];机电工程;1999年05期
4 马士华;供应链运作管理的框架模型[J];计算机集成制造系统-CIMS;2002年08期
5 钟昌宝;聂茂林;徐永其;;基于灰色马尔柯夫改进模型预测供应链独立需求[J];情报杂志;2009年07期
6 马祖军;代颖;;基于稳健优化的制造/再制造集成物流网络设计[J];西南交通大学学报;2006年05期
7 黄小原,王静;供应链中的牛鞭效应问题研究进展:存在、量化与控制[J];信息与控制;2004年05期
8 张钦,达庆利,沈厚才;在ARIMA(0,1,1)需求下的牛鞭效应与信息共享的评价[J];中国管理科学;2001年06期
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