Reinforcement learning approaches for specifying ordering policies of perishable inventory systems
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference35 articles.
1. An adaptive portfolio trading system: A risk-return portfolio optimization using recurrent reinforcement learning with expected maximum drawdown;Almahdi;Expert Systems with Applications,2017
2. A simulation-based approach for inventory modeling of perishable pharmaceuticals;Ana,2008
3. Review of inventory systems with deterioration since 2001;Bakker;European Journal of Operational Research,2012
4. Supply chain management of blood products: A literature review;Beliën;European Journal of Operational Research,2012
5. A heuristic to manage perishable inventory with batch ordering, positive lead-times, and time-varying demand;Broekmeulen;Computers and Operations Research,2009
Cited by 90 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Deep reinforcement learning algorithms for dynamic pricing and inventory management of perishable products;Applied Soft Computing;2024-09
2. Neuroevolution reinforcement learning for multi-echelon inventory optimization with delivery options and uncertain discount;Engineering Applications of Artificial Intelligence;2024-08
3. A hybrid deep reinforcement learning approach for a proactive transshipment of fresh food in the online–offline channel system;Transportation Research Part E: Logistics and Transportation Review;2024-07
4. An extended weak aggregating algorithm for a two dimensional data-driven multi-stage newsvendor problem;Expert Systems with Applications;2024-03
5. Distributed dynamic pricing of multiple perishable products using multi-agent reinforcement learning;Expert Systems with Applications;2024-03
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3