不确定环境下托盘调度多目标优化模型

发布时间：2018-04-08 21:08

本文选题：托盘共用系统　切入点：托盘调度　出处：《系统工程》2016年11期

【摘要】：针对不确定环境下托盘共用系统托盘调度问题,建立托盘生产、库存和运输等能力受限条件下的托盘调度多目标优化模型。该模型将托盘共用系统网络细分为托盘生产/维修—调度/再调度—回收三个过程,并满足托盘调度系统运作成本最低、惩罚成本最低及模型鲁棒性最高等多个相互冲突的运作目标,对网络各环节主体存在的不确定因素,从模型鲁棒性的角度出发,构建各不确定因素的鲁棒性控制指标;最后给出基于遗传算法的求解过程。算例结果表明,与不添加鲁棒约束的优化模型相比,该模型能有效控制不确定因素的负影响,增加托盘调度决策的稳定性,论文还对三个优化目标之间的影响关系进行分析,得到一些有意义的结论。
[Abstract]:In order to solve the pallet scheduling problem in a common pallet system in uncertain environment, a multi-objective optimization model of pallet scheduling is established under the conditions of limited pallet production, inventory and transportation.In this model, the pallet common system network is subdivided into three processes: tray production / maintenance, scheduling / rescheduling and recycling, and the operation cost of the pallet scheduling system is the lowest.With the lowest penalty cost and the highest model robustness, the robustness control index of each uncertain factor is constructed from the point of view of model robustness for the uncertain factors existing in each link of the network.Finally, the solving process based on genetic algorithm is given.The numerical results show that the model can effectively control the negative influence of uncertain factors and increase the stability of pallet scheduling decision, compared with the optimization model without robust constraints. The paper also analyzes the relationship between the three optimization objectives.Get some meaningful conclusions.
【作者单位】：重庆大学机械传动国家重点实验室;重庆大学现代物流重庆市重点实验室;
【基金】：国家科技支撑计划项目(2015BAH46F01) 高等学校博士学科点专项科研基金资助项目(2013019111-0045) 中央高校基本科研业务费跨学科重大项目(CDJZR12118801) 重庆市科技攻关计划项目(cstc2014yykfA40006;cstc2012ggC00001)
【分类号】：F259.2

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