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机构地区:[1]海南师范大学数学与统计学院,海南海口571158
出 处:《物流技术》2015年第9期126-129,共4页Logistics Technology
基 金:国家自然科学基金项目(71361008);海南省重点科技计划项目(SQ2013ZDXM0129);海口市重点科技计划项目(2013-21)
摘 要:针对生鲜食品易变质的特性,以总成本最小化、供货时间与预计供货时间之差的平方和最小化为优化目标,建立了采购量分配的多目标随机优化模型。通过把机会约束转化为确定性等价类,并利用模糊规划法把多目标规划问题转化为单目标规划问题,证明了多目标规划模型Pareto最优解的存在性,并利用Lingo软件进行实例验证,证明了模型的合理性和实用性。In this paper, in view of the deteriorating and perishable properties of the fresh food and with the minimization of the total cost and of the absolute difference between the supply time and the expected supply time as the objective, we built the multi-objective stochastic model for the optimal allocation of the procurement volume, then by converting the chance constraints into their deterministic equivalents, employed the fuzzy programming method to turn the multi-objective programming problem into a single-objective programming problem to prove the existence of the Pareto optimal solution to the model, and at the end, verified the validity and practicality of the model through an empirical case.
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