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论文编号：	2322
作者编号：	2120082060
上传时间：	2010/6/8 20:01:52
中文题目：	农产品供应链的能力计划与市场需求相互影响研究
英文题目：	Mutual Influence Research on Agricultural Products Supply Chain Planning and Market Demand
指导老师：	严建援
中文关键字：	农产品供应链;能力计划;市场需求;市场运输;库存能力
英文关键字：	Agricultural Supply Chain; Capacity Planning; Market Demand; Market Transportation; Inventory Capacity
中文摘要：	我国广西自治区的香蕉产业在2009年获得了丰收，但是香蕉的丰收并没有给辛苦了一年的农户们喜悦，随之而来的是香蕉增产不增收的窘境。面对这样的现实问题，本文对实际背景开展了梳理和分析，抽象出了本文的研究问题，即农产品供应链的能力计划与市场需求的相互影响分析研究。试图站在农产品供应链整体的高度，探究农产品供应链的能力计划与市场需求之间的内在关系，以求对农产品供应链整体绩效的提高做出一定的贡献。 本文以研究问题为出发点，对大量的文献进行了回顾。从供应链集成理论、生产运作能力理论和系统工程理论多个角度针对农产品供应链进行了文献的梳理和回顾，并寻找到了本文的研究方法，即系统动力学研究方法和工具，并进行了研究方法和工具使用的学习。 接下来，本文以农产品的整个生命周期为研究对象，分别从农产品供应链农户生产开始的正向物流流向以及从市场需求开始的零售商与分销商库存的逆向的信息流、物流流向，这两个角度来研究农产品供应链的能力计划与市场需求之间相互的影响关系。具体来讲，本文用两种视角来研究了农产品供应链的整体运营：首先是对农产品供应链的系统运输与生产能力计划之间的关系进行研究，在这一部分中，本文以收益分配为切入点，通过分析因果关系和建立模型及仿真模拟对此问题进行了研究，并得出结论；另一方面，本文对农产品供应链中的分销商和零售商之间的库存权衡问题进行了研究，在农产品供应链中库存是影响运营效率的根本，而农产品供应链中分销商与零售商的库存是对农产品市场需求响应的最直接的库存保证，因此本文对二者之间的库存通过因果关系图分析，系统动力学流图建模以及模型的模拟仿真进行了研究。 本文的最后是对农产品供应链的能力计划和市场需求之间的影响研究的整理概括，并对农产品供应链管理提出了建议。本研究仅以仿真数据进行了模型的对比分析，希望今后的研究从更多角度、搜集更多的数据进行研究，此外，本文在深度上也有待于进一步拓展和深入，仅为深入理解农产品供应链的整体影响起到抛砖引玉的作用。
英文摘要：	In 2009, the banana industry in China's Guangxi Autonomous Region earned a good harvest, but did not give happiness; farmers are hard-joy, followed by a banana increasing output without increasing price. Faced with such realities, this paper launched a combing of the factual background and analysis, Abstraction out of this research, i.e., the capacity of agricultural products supply chain planning and demand analysis of the market. This paper is trying to stand on the height of the whole supply chain of agricultural products, and exploring the agricultural supply chain planning and the intrinsic relationship between the market demand and the supply chain of agricultural products in order to improve overall performance and make some contribution. In this paper, research questions as a starting point, a large number of literatures were reviewed. From the theory of supply chain integration, production and operational capabilities and system engineering theory, multiple perspectives for the agricultural supply chain and review of the literature, and find a research method in this paper, i.e. the system dynamics research methods and tools, and conducted research methods and tools to use to learn. Next, this paper, agricultural products throughout their life cycle as the research object, i.e., farmers from the agricultural supply chain, production began to forward logistics flows and the demand from the market, retailers and distributors beginning of the reverse flow of information inventory, logistics flows, these two angles to study the capacity of agricultural supply chain planning and market demand, the interaction between. Specifically, this paper included two kinds of perspectives to study the whole of the agricultural supply chain operations: the first is the system for agricultural products supply chain, transport and capacity to study the relationship between the plans, in this section, this paper made income distribution as an entry point, by analyzing the cause-effect relationships and the establishment of models and simulation to study this issue and draw conclusions; on the other hand, this paper focused on agricultural products in the supply chain of distributors and retailers, trade-offs between the inventory conducted a study. In the agricultural supply chain, inventory that affect the fundamental operational efficiency, while the agricultural supply chain, distributors and retailers of agricultural products inventory is the most direct response to market demand, inventory guarantee. Therefore, this paper on the difference between the stock through the causality graph analysis, system dynamics flow graph modeling and simulation of the model were studied. Finally, supply chain for agricultural products ability of planning and market demand, finishing among the general impact studies, and agricultural supply chain management is suggested in this paper. The simulation data of this study was only carried out comparative analysis of the model; hope that future research from more angles to collect more data for research. In addition, this paper is also subject to further expand the depth and in-depth, only in-depth understanding of the overall impact of the supply chain of agricultural products play a role in attracting valuable opinions.
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