Utilising Digital Twins for Increasing Military Supply Chain Visibility

Author:

Sani Shehu1,Schaefer Dirk2,Milisavljevic-Syed Jelena1

Affiliation:

1. Systems Realization Laboratory, School of Engineering, University of Liverpool, Brownlow Hill, Liverpool L69 3GH, United Kingdom

2. School of Engineering, University of Lincoln, Brayford Pool, Lincoln LN6 7TS, United Kingdom

Abstract

The dynamic and complex nature of the military supply chain (MSC) requires effective monitoring of supplies and timely decisions to ensure success in combat operations, particularly in the face of unexpected disruptions such as inclement weather conditions and terrorist attacks. Although, existing technologies such as RFIDs, Next-Generation Wireless Communication (NGWC) and RuBees are applied MSC, they are not sufficient in ensuring end-to-end visibility across the entire SC. However, digital technologies such as the internet of things, cloud computing, Application Programming Interface (APIs), machine learning, augmented and virtual reality, big data, analytics and pervasive computing play a critical role in improving visibility to ensure effective SC management. Hence, the introduction of the concept of digital twin enabled by these technologies creates a digital replica of the whole supply chain operations, ensuring adequate end-to-end visibility through real-time data that ensures effective tracking, monitoring and reporting of all SC activities. The focus of this paper is to explore the enabling technologies of digital twin and its implementation to achieve end-to-end visibility in the military supply chain. In this paper, the authors identify the digital twin’s tracking and monitoring capability, which will improve supply chain management by enabling a cycle of continuous adjustment of the SC against unexpected disruptions.

Publisher

IOS Press

Cited by 1 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. Digital Twin Technology: A Comprehensive Review;International Journal of Innovative Science and Research Technology (IJISRT);2024-06-24

同舟云学术

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