Drone-based warehouse inventory management of perishables

IF 9.8 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL International Journal of Production Economics Pub Date : 2024-10-22 DOI:10.1016/j.ijpe.2024.109437
Gaurav Kapoor , Yoon Sang Lee , Riyaz Sikora , Selwyn Piramuthu
{"title":"Drone-based warehouse inventory management of perishables","authors":"Gaurav Kapoor ,&nbsp;Yoon Sang Lee ,&nbsp;Riyaz Sikora ,&nbsp;Selwyn Piramuthu","doi":"10.1016/j.ijpe.2024.109437","DOIUrl":null,"url":null,"abstract":"<div><div>Warehouse inventory management is a complex process. When inventory includes perishables, the complexity of these processes is compounded with additional requirements such as appropriate ambient storage conditions and placement of one type of perishables (e.g., bananas) far away from another type of perishables (e.g., strawberries). With perishables spending a significant amount of time post-harvest in warehouses, appropriate management of warehouse inventory is necessary to reduce wastage due to spoilage. Drone-based warehouse inventory management is gaining popularity as seen in the increasing number of firms in this space as well as the number of research publications. RFID tags have been widely used for inventory management for more than two decades. While drones have been successfully used in warehouses with non-perishables, RFID and drone use in warehouses with perishables has not witnessed its fair share as evidenced by the lack of publications in this general area. This paper is a step in the direction to address this void in published literature. We consider object-level RFID tags and drones to automate warehouse inventory management of perishables. Results from our analytical model and simulation analysis indicate that such warehouse automation is beneficial to both the warehouse operators and their customers.</div></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":"278 ","pages":"Article 109437"},"PeriodicalIF":9.8000,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Production Economics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0925527324002949","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0

Abstract

Warehouse inventory management is a complex process. When inventory includes perishables, the complexity of these processes is compounded with additional requirements such as appropriate ambient storage conditions and placement of one type of perishables (e.g., bananas) far away from another type of perishables (e.g., strawberries). With perishables spending a significant amount of time post-harvest in warehouses, appropriate management of warehouse inventory is necessary to reduce wastage due to spoilage. Drone-based warehouse inventory management is gaining popularity as seen in the increasing number of firms in this space as well as the number of research publications. RFID tags have been widely used for inventory management for more than two decades. While drones have been successfully used in warehouses with non-perishables, RFID and drone use in warehouses with perishables has not witnessed its fair share as evidenced by the lack of publications in this general area. This paper is a step in the direction to address this void in published literature. We consider object-level RFID tags and drones to automate warehouse inventory management of perishables. Results from our analytical model and simulation analysis indicate that such warehouse automation is beneficial to both the warehouse operators and their customers.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于无人机的易腐物品仓库库存管理
仓库库存管理是一个复杂的过程。当库存包括易腐物品时,这些过程的复杂性就会因额外的要求而变得更加复杂,例如适当的环境储存条件和将一种易腐物品(如香蕉)放置在远离另一种易腐物品(如草莓)的地方。由于易腐物品收获后会在仓库中存放很长时间,因此有必要对仓库库存进行适当管理,以减少因变质而造成的浪费。基于无人机的仓库库存管理越来越受欢迎,这从该领域公司数量和研究出版物数量的不断增加中可见一斑。二十多年来,RFID 标签一直被广泛用于库存管理。虽然无人机已成功应用于非易腐物品仓库,但 RFID 和无人机在易腐物品仓库中的应用还没有得到应有的重视,这一点从该领域缺乏相关出版物可见一斑。本文正是朝着解决这一文献空白的方向迈出的一步。我们考虑使用对象级 RFID 标签和无人机来实现易腐物品仓库库存管理的自动化。我们的分析模型和模拟分析结果表明,这种仓库自动化对仓库经营者及其客户都有好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
International Journal of Production Economics
International Journal of Production Economics 管理科学-工程:工业
CiteScore
21.40
自引率
7.50%
发文量
266
审稿时长
52 days
期刊介绍: The International Journal of Production Economics focuses on the interface between engineering and management. It covers all aspects of manufacturing and process industries, as well as production in general. The journal is interdisciplinary, considering activities throughout the product life cycle and material flow cycle. It aims to disseminate knowledge for improving industrial practice and strengthening the theoretical base for decision making. The journal serves as a forum for exchanging ideas and presenting new developments in theory and application, combining academic standards with practical value for industrial applications.
期刊最新文献
Collaborative supply chain network design under demand uncertainty: A robust optimization approach Implementing intelligent manufacturing policies to increase the total factor productivity in manufacturing: Transmission mechanisms through construction of industrial chains Logistics service sharing in cross-border e-commerce Strategic interactions between manufacturer channel choice and platform entry in a dual-market system Competition and organizational structure co-optimization of OEMs in a product-service supply chain
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1