中国管理科学 ›› 2023, Vol. 31 ›› Issue (2): 205-214.doi: 10.16381/j.cnki.issn1003-207x.2020.0768
戢守峰, 刘红玉, 赵鹏云, 戢婷婷
收稿日期:
2020-04-28
修回日期:
2022-12-29
出版日期:
2023-02-20
发布日期:
2023-02-28
通讯作者:
刘红玉(1994-),女(汉族),河北秦皇岛人,东北大学工商管理学院,博士研究生,研究方向:物流系统建模与优化、物流与供应链管理,Email:liuhongyu@stumail.neu.edu.cn.
E-mail:liuhongyu@stumail.neu.edu.cn
基金资助:
JI Shou-feng, LIU Hong-yu, ZHAO Peng-yun, JI Ting-ting
Received:
2020-04-28
Revised:
2022-12-29
Online:
2023-02-20
Published:
2023-02-28
Contact:
刘红玉
E-mail:liuhongyu@stumail.neu.edu.cn
摘要: PI(physical internet)环境下的物流网络具有互联、开放和共享的特点,缺货的PI-枢纽或零售商可根据货源选择策略动态选择为其补货的供应商或PI-枢纽。为解决PI环境下库存补货问题,提出了IB-EB(installation-echelon)混合补货策略。以最小化库存补货成本为目标,补货量和再订购点为决策变量,构建了PI环境下的动态库存补货模型。针对该混合整数非线性规划模型,应用粒子群优化算法求解出多个补货预案,再将其带入仿真环境循环优化求解。最后,以中国航空器材进出口公司为例,验证了模型可解性及算法的可行性。结果表明PI环境下货源策略的选择对库存补货成本和补货策略具有十分重要的影响,为企业在不同补货条件下选择货源提供了参考依据。
中图分类号:
戢守峰, 刘红玉, 赵鹏云, 戢婷婷. 基于PI的企业动态库存补货模型与算法[J]. 中国管理科学, 2023, 31(2): 205-214.
JI Shou-feng, LIU Hong-yu, ZHAO Peng-yun, JI Ting-ting. Model and Algorithm of Dynamic Inventory Replenishment Based on Physical Internet[J]. Chinese Journal of Management Science, 2023, 31(2): 205-214.
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