Amplifying swift-trust, collaboration, and teamwork in warehouse management through blockchain-enabled technology

Sadia Samar Ali , Syed Aqib Jalil , Murshid Kamal , Rudra Rameshwar
{"title":"Amplifying swift-trust, collaboration, and teamwork in warehouse management through blockchain-enabled technology","authors":"Sadia Samar Ali ,&nbsp;Syed Aqib Jalil ,&nbsp;Murshid Kamal ,&nbsp;Rudra Rameshwar","doi":"10.1016/j.sca.2024.100089","DOIUrl":null,"url":null,"abstract":"<div><div>This study explores the application of blockchain technology in optimizing warehouse management, focusing on improving transparency, security, and operational efficiency. By utilizing a Blockchain-based Warehouse Platform (BCWP), the study enhances inventory tracking and supply chain transparency. A fuzzy-Delphi method was employed to identify and evaluate critical blockchain practices, with their relative importance assessed using the Best-Worst Method (BWM). The Combined Compromise Solution (CoCoSo) technique further ranked key performance outcomes. The findings reveal that practices such as quality inspection and information sharing play a pivotal role in boosting warehouse performance. Additionally, the integration of blockchain technology led to significant improvements in transaction speed and operational efficiency. This research contributes to the existing literature by providing a structured decision-making framework for blockchain implementation, offering practical insights for supply chain managers aiming to streamline warehouse operations and enhance decision-making processes.</div></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"8 ","pages":"Article 100089"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Supply Chain Analytics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949863524000323","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This study explores the application of blockchain technology in optimizing warehouse management, focusing on improving transparency, security, and operational efficiency. By utilizing a Blockchain-based Warehouse Platform (BCWP), the study enhances inventory tracking and supply chain transparency. A fuzzy-Delphi method was employed to identify and evaluate critical blockchain practices, with their relative importance assessed using the Best-Worst Method (BWM). The Combined Compromise Solution (CoCoSo) technique further ranked key performance outcomes. The findings reveal that practices such as quality inspection and information sharing play a pivotal role in boosting warehouse performance. Additionally, the integration of blockchain technology led to significant improvements in transaction speed and operational efficiency. This research contributes to the existing literature by providing a structured decision-making framework for blockchain implementation, offering practical insights for supply chain managers aiming to streamline warehouse operations and enhance decision-making processes.
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
通过区块链技术增强仓库管理中的快速信任、协作和团队精神
本研究探讨了区块链技术在优化仓库管理方面的应用,重点是提高透明度、安全性和运营效率。通过利用基于区块链的仓库平台(BCWP),本研究提高了库存跟踪和供应链透明度。研究采用模糊德尔菲法来识别和评估关键的区块链实践,并使用最佳-最差法(BWM)评估其相对重要性。综合折中方案(CoCoSo)技术进一步对关键性能结果进行了排序。研究结果表明,质量检验和信息共享等做法在提高仓库绩效方面发挥着关键作用。此外,区块链技术的整合还显著提高了交易速度和运营效率。本研究为区块链的实施提供了结构化决策框架,为旨在简化仓库运营和增强决策流程的供应链管理者提供了实用见解,从而为现有文献做出了贡献。
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
自引率
0.00%
发文量
0
期刊最新文献
An Integrated Multi-Product Biodiesel and Bioethanol Supply Chain Model with Torrefaction Under Uncertainty An agility and performance assessment framework for supply chains using confirmatory factor analysis and structural equation modelling A conceptual digital twin framework for supply chain recovery and resilience A strategic and social analytics model for sustainable packaging in the cosmetic industry A multi-step mixed integer programming heuristic for warehouse layout optimization
×
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