摘要
国家一直在战略层面大力扶植农业发展,消费者对于农产品尤其是生鲜类产品品质的高标准、严要求,使得供应链网络的规划显得更为重要。文章引入时间价格因子并基于客户需求的不确定性以成本最低为目标,构建了含模糊参数的单源、单一产品、多供应商、多阶段、多客户生鲜类农产品供应链网络模糊规划模型。通过模糊数学相关理论将模型中含有不确定参数的目标函数与约束条件分别利用定理将其转化为清晰等价类。最后,应用Lingo软件求解算例,得出设施的选址以及资源合理分配的解决方案。
Our country has been vigorously gave suppuv't to the development of agriculture in strategy. High standards and strict requirements for agri-products from consumers makes the planning of the supply chain even more important, especially for the fresh products. The paper introduces the time-price parameter and aims at the lowest cost based on stochastic demands of customers. And build up a chance-constrained programming model with fuzzy parameters for a fresh agri-products supply chain network which is monnphyletic, single-product, multi-vendor, multi-stage and muhi-user. According to fuzzy probability theory. the objective function and constraint conditions which contain the fuzzy parameters are respectively transformed into clear equivalence class. At last, solve the example by sing Lingo snftware, to obtain a solution of facility location and reasonable resource distribution.
出处
《物流科技》
2014年第6期32-35,共4页
Logistics Sci-Tech
基金
福建省自然科学基金项目
项目编号:2013J01264
福建省自然科学基金项目
项目编号:2012J01302
福建省教育厅科技项目
项目编号:JA10195
厦门市科技项目
项目编号:3502Z20113032
关键词
生鲜农产品供应链
不确定需求
网络优化设计
时间价格因子
模糊规划
fresh agricultural products supply chain
uncertain demand
network optimization design
time-price parameter
fuzzy programming