控制与决策2024,Vol.39Issue(7) :2334-2344.DOI:10.13195/j.kzyjc.2022.2113

基于GELTR-WOA算法的多地点库存动态集成调拨

Multi-location inventory dynamic integrated allocation based on GELTR-WOA algorithm

郑思宇 黄敏 蒋松辰 尹明强 张宇鑫 孙秋野
控制与决策2024,Vol.39Issue(7) :2334-2344.DOI:10.13195/j.kzyjc.2022.2113

基于GELTR-WOA算法的多地点库存动态集成调拨

Multi-location inventory dynamic integrated allocation based on GELTR-WOA algorithm

郑思宇 1黄敏 1蒋松辰 1尹明强 2张宇鑫 1孙秋野1
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作者信息

  • 1. 东北大学信息科学与工程学院,沈阳 110819
  • 2. 东北大学信息科学与工程学院,沈阳 110819;辽宁石油化工大学信息与控制工程学院,辽宁抚顺 113001
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摘要

为解决由区域配送中心和不同地点前置仓构成的多地点库存系统的动态调拨问题,建立以最小化总成本为目标,考虑紧急和预防纵向调拨、紧急横向转运的多地点库存动态集成调拨模型.由于模型的非线性特征,设计一种嵌入贪婪紧急横向转运修复策略的鲸鱼优化算法(whale optimization algorithm embedding greedy emergency lateral transshipment repair strategy,GELTR-WOA).通过基于现实场景产生的不同规模算例的数值实验,验证算法的有效性.最后,探究加入紧急横向转运对系统运作成本的影响,并分析单位缺货损失、单位运输成本等因素对调拨策略的影响,从而为电商企业提供库存管理建议.

Abstract

In order to solve the problem of dynamic allocation in the multi-location inventory system consisting of a regional distribution center and different front distribution centers,a multi-location inventory dynamic integrated allocation model is established to minimize the total cost,in which the vertical allocation strategy of emergency and prevention,and the emergency lateral transshipment strategy are introduced.Due to the nonlinear characteristics of the model,a whale optimization algorithm embedding greedy emergency lateral transshipment repair strategy(GELTR-WOA)is designed.The effectiveness of the GELTR-WOA is verified through numerical experiments on different scale examples generated from real scenarios.Finally,the influence of emergency lateral transshipment on system operation cost is explored,and the impact of model factors(including unit shortage loss,unit transportation cost,etc.)on the allocation strategy is also analyzed.Consequently,inventory management suggestions for e-commerce enterprises are obtained.

关键词

前置仓/多地点库存/紧急横向转运/动态集成调拨/贪婪/鲸鱼优化算法

Key words

front distribution center/multi-location inventory/emergency lateral transshipment/dynamic integrated allocation/greedy/whale optimization algorithm

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基金项目

国家重点研发计划(2021YFB3300900)

国家自然科学基金重大研究计划重点项目(92267206)

国家自然科学基金重点项目(62032013)

出版年

2024
控制与决策
东北大学

控制与决策

CSTPCD北大核心
影响因子:1.227
ISSN:1001-0920
参考文献量8
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