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生鲜农产品(FAP)供应链时空运行优化的研究
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摘要
生鲜农产品(FAP)供应链是供应链、农产品(AP)供应链的深化,是更加具体的生产供应组织形式。应用其管理,对解决“卖果难”、“卖菜难”,扩大市场,提高市场竞争力,增加农民收入和丰富市民餐桌,具有重大的现实指导意义。拓展其研究领域、加强其实践应用是未来农业现代化发展之必需。
     国内外学者对供应链、AP-供应链的发展做了大量卓有成效的工作。在供应链设计、系统内构成要素及整合等方面开展了系统、深入的研究。但在FAP供应链时空运行的研究及其相伴的价值流研究上未见报道,缺少系统分析和理论阐述。这种状况难以适应生鲜农产品扩大市场、增加效益的需要。本文系统的阐述了AP供应链管理理论,并以此理论为基础,重点研究FAP供应链时空运行优化问题,并具体开展了FAP供应链运行时空体系的研究、FAP供应链时空运行增值效应的研究等。
     本研究在一下四方面有明显创新:
     (1)开辟了新的研究领域。目前我国对AP供应链的研究主要是从其系统内部构成要素及整合等角度入手,从其整体时间运行、整体空间运行的研究还未见报道。本文提出时空运行概念,开辟了FAP供应链理论探讨和实践应用的新领域。
     (2)提出了FAP供应链时空运行理论。本文以杜能圈理论为起点,运用数学方法,建立了FAP供应链时间运行模型、空间运行模型和供应链终端价格模型。首次阐明了不同条件下FAP供应链中空间效应、时间效应及它们之间的相互关系,建立了物流时空价值模型,并进行了实证分析。
     (3)首次提出FAP供应链中存在的价值流是一条“滚雪球”式的增值流,它是判别FAT供应链时空运行是否继续的唯一标志的观点。本文运用需求基础理论(线性FC模型)、企业价值链理论、保鲜加工质量分等分级增值论和物流时空增值理论等对其多方位论证。
     (4)建立了优化FAP供应链时空运行的方法。在传统的量本利分析基础上,建立了FAP供应链量本利动态分析模型,并通过建立FAP供应链时空优化指标体系和运用灰优化模式关联决策,构建了FAP供应链时空运行优化体系,为生鲜农产品生产经营企业提供了量化的供应链优化方法。
FAP supply chain is the further concept of supply chain and AP supply chain, which is a more specific organization structure for production and supply. Utilizing FAP supply chain management,we could solve the " fruit selling difficulties and " " vegetables selling difficulties", expand markets ,enhance market competitiveness and increase peasants’income and enrich people’s dining table, which is of great practical significance. It is indispensable for the future development of agriculture modernization by expanding its research areas and strengthening their practical application
     The domestic and overseas scholars have done a lot of fruitful work in the field of supply-chain and AP-SC. They have carried out systematic and in-depth study in the supply-chain designing, system inner-structure and integration. However, there is no report concerning about the space-time moving and related value flowing of FAP supply chain, which is lacking systematic analysis and theoretical explanations. This situation can hardly meet fresh agricultural products requirements of market expansion and profit added needs
     This paper elaborates the AP supply-chain administration theory. Basing on this theory, it emphasizes on the FAP supply chain time-space optimization problem and specifically research on the FAP supply chain time-space system and value-added effect
     The research has made four obvious innovations as following:
     1.Exploit a new research field: at present, domestic researches about AP supply chain are focusing on its component parts and integration. The overall operation of the time and space research has not been reported. This paper presents the concept of time-space moving which opens up new areas of FAP supply chain theoretical and practical application.
     2. Give point of the FAP supply chain time-space moving theory. Starting from the Thunen Circle theory and using the mathematical methods, this paper sets up the supply chain operating model of time moving, space moving and supply chain terminal price model. The paper also firstly demonstrates the space effect, time effect of the FAP supply chain and mutual relationship under different conditions. It sets up the logistics time-space value model and does the empirical analysis.
     3. The paper proposes an opinion that the value flowing in the FAP supply chain is value added just as rolling snowballs. The existing of the value follow is the only symbol for judging the continuation of the FAP time-space supply chain. It is multi-directional demonstration of basic demand theory (linear FC model), enterprise value chain theory, preservation processing quality grade, classification theory , value-added logistics space-time theories .
     4. Establish the optimization method for the time-space function of FAP supply chain. Based on the traditional analysis of quantity, cost and benefit, the writer sets up a dynamic analysis model for the FAP supply chain condition. Through setting up the time-space indicator system of FAP supply chain and utilization of illegibility-optimization mode relation strategy, it builds a FAP supply chain optimized moving system which provides a quantitative method of supply chain optimization for fresh agricultural production and operation enterprises
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