朱佳翔　江涛涛　蔡建飞　田刚　毛良虎

摘要：针对生鲜农产品市场需求的时变性、模糊不确定性特点，构建了生鲜农产品“多供应点选择”与“最早分发”为优化目标的模糊决策模型；以江苏常州凌家塘农副产品批发市场生鲜农产品物流配送为案例，检验分析了生鲜农产品配送的多目标模糊决策模型构建的可行性与科学性。结果表明，对于时变及不确定性需求下的生鲜农产品配送问题，模糊多目标决策方法可以科学合理地安排生鲜农产品的物流配送与分发任务，有效解决市场需求信息模糊所致的生鲜农产品无法满足市场的时变需求或盲目过度配送引发的物流成本上升等问题，具有一定的应用价值与实践意义。

关键词：生鲜农产品供应链；时变需求；模糊优化；多目标决策

DOI：10.13956/j.ss.1001-8409.2015.11.29

中图分类号：F252 文献标识码：A 文章编号：1001-8409（2015）11-0135-05

Abstract：This paper builds up a fuzzy multiobjective which is “multisupply point selection” and “the first distribution of fresh produce” decisionmaking model against its timevarying and fuzzy uncertainty characteristics. And then， it tests and analyzes its feasibility and scientific with a fresh produce case about logistics distribution of Jiangsu Changzhou Lingjiatang agricultural products wholesale market. Results show that， there is a certain application value and practical significance， that the fuzzy multiobjective decision can make scientific and reasonable arrangements for the distribution of fresh produce and task scheduling for timevarying and fuzzy uncertainty problems about logistics distribution of fresh produce， and it may effectively solve such as fresh produce distributing can not meet market timevarying needs or logistics costs blind rising triggered by excessive distributing and other issues caused by the information vague.

Key words：fresh produce supply chain； timevarying demand； fuzzy optimization； multiobjective decision

国外学者Ahumada与Villalobos等首次对农产品供应链进行描述，此后如Grimsdell[1]、Downey[2]及Poole等[3]基于对农产品公司的调查，分别论述了构建生鲜农产品供应链的基本条件、主要因素及相互合作是形成生鲜农产品供应链的重要手段等。Sarker等[4]构建延迟支付下面向易腐品的零售商库存成本函数。Yang和Wee[5]建立固定变质率下变质产品多批量生产与库存模型。Rau等[6]构建了变质产品多级库存模型。Huang和Yao[7]对Yang和Wee[8]建立的模型进行改进，供应商库存的消耗中考虑了买方需求率与生鲜品变质率的波动。

国内学者对生鲜农产品供应链的研究刚刚起步。如黄祖辉等[9]分析了我国超市经营生鲜农产品及供应链管理的现状和障碍。……