通过行动设计研究(ADR)方法,使用实时Microsoft Power BI仪表板管理供应链绩效

IF 2.1 Q2 ENGINEERING, MULTIDISCIPLINARY Cogent Engineering Pub Date : 2023-09-27 DOI:10.1080/23311916.2023.2257924
Dewan Hafiz Nabil, Md. Habibur Rahman, Altaf Hussain Chowdhury, Brenno Castrillon Menezes
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引用次数: 0

摘要

通过数字化、自动化和实时可见性,供应链(SC)的性能得到了提升,从而提高了运营效率,优化了库存管理,并为问题提供了积极的解决方案。本研究的重点是通过使用ADR方法开发一个实时Microsoft Power BI仪表板来管理SC绩效。其目的是帮助小企业主有效和经济地管理他们的供应链。该研究分析了来自Ly Foods Ltd.的数据,并利用Microsoft Power BI创建了仪表板。该研究强调了这种最先进的仪表板如何通过提供高效、可见、可访问和可共享的信息来增强对运营和决策过程的测量。研究结果证明了利用先进技术来增强供应链管理(SCM)实践的潜在好处。本研究通过说明如何使用ADR方法和供应链关键绩效指标(kpi)来管理供应链绩效,对供应链管理领域做出了重大贡献。本研究的结果对各种规模的企业都有重要的意义,因为它们提高了供应链的效率和盈利能力。
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Managing supply chain performance using a real time Microsoft Power BI dashboard by action design research (ADR) method
Supply chain (SC) performance is being advanced through digitalization, automation, and real-time visibility, leading to improved operational efficiency, optimized inventory management, and proactive solutions for problems. This study focuses on managing SC performance by developing a real-time Microsoft Power BI dashboard using the ADR method. The aim is to help small business owners effectively and affordably manage their supply chains. The research analyzed data from Ly Foods Ltd. and utilized Microsoft Power BI to create the dashboard. The study highlights how this state-of-the-art dashboard enhances the measurement of operational and decision-making processes by providing efficient, visible, accessible, and shareable information. The findings demonstrate the potential benefits of leveraging advanced technologies to enhance supply chain management (SCM) practices. This research makes a significant contribution to the field of SCM by illustrating how SC performance can be managed using the ADR method and the SC key performance indicators (KPIs). The results of this study have important implications for businesses of all sizes, as they enhance SC efficiency and profitability.
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来源期刊
Cogent Engineering
Cogent Engineering ENGINEERING, MULTIDISCIPLINARY-
CiteScore
4.00
自引率
5.30%
发文量
213
审稿时长
13 weeks
期刊介绍: One of the largest, multidisciplinary open access engineering journals of peer-reviewed research, Cogent Engineering, part of the Taylor & Francis Group, covers all areas of engineering and technology, from chemical engineering to computer science, and mechanical to materials engineering. Cogent Engineering encourages interdisciplinary research and also accepts negative results, software article, replication studies and reviews.
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