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 , Syed Aqib Jalil , Murshid Kamal , 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.