Abstract
Real-time controlling the vaccine shortage and wastage within the supply chain network (SCN) is a critical challenge for healthcare professionals. However, in the literature, only limited studies are available on theoretical support and application of 5G to control the shortage and wastage of vaccines and no effective framework has been developed. Moreover, we are proposing a framework for a 5G enabled vaccine supply chain (VSC) digital twin to control the shortage and wastage of vaccines across the SCN. The 5G technologies enhance real-time visibility and connectivity of the supply chain (SC) at a highly granular level. This paper aims to propose an application of 5G technologies to provide the digital twin framework for improving visibility and connectivity that will help to make the real-time decision for controlling vaccine shortage and wastage within the SCN. As a result, this proposed digital twin framework for the vaccine supply chain will help improve delivery performance during pandemic and emergency times through highly granular visibility and connectivity across the network.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cheng J, Yang Y, Zou X, Zuo Y (2022) 5G in manufacturing: a literature review and future research. Int J Adv Manuf Technol 1–23
Duttagupta C, Bhattacharyya D, Narayanan P, Pattanshetty SM (2017) Vaccine wastage at the level of service delivery: a cross-sectional study. Public Health 148:63–65
Dolgui A, Ivanov D (2022) 5G in digital supply chain and operations management: fostering flexibility, end-to-end connectivity, and real-time visibility through internet-of-everything. Int J Prod Res 60(2):442–451
Guichard S, Hymbaugh K, Burkholder B, Diorditsa S, Navarro C, Ahmed S, Rahman MM (2010) Vaccine wastage in Bangladesh. Vaccine 28(3):858–863
Ivanov D (2021) Digital supply chain management and technology to enhance resilience by building and using end-to-end visibility during the COVID-19 pandemic. IEEE Trans Eng Manag
Ivanov D, Dolgui A, Das A, Sokolov B (2019) Digital supply chain twins: managing the ripple effect, resilience, and disruption risks by data-driven optimization, simulation, and visibility. In: Handbook of ripple effects in the supply chain. Springer, Cham, pp 309–332
Ivanov D, Dolgui A, Sokolov B (2019) The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. Int J Prod Res 57(3):829–846
Lazarus JV, Karim SSA, van Selm L, Doran J, Batista C, Amor YB, Yadav P (2022) COVID-19 vaccine wastage in the midst of vaccine inequity: causes, types and practical steps. BMJ Glob Health 7(4):e009010
Liu Y, Zheng J (2022) Intelligent management of supply chain logistics based on 5G LoT. Clust Comput 1–10
McClellan M, Udayakumar K, Merson M, Edson G (2021) Reducing global COVID vaccine shortages: new research and recommendations for US leadership. Policy Brief. Duke Global Health Innovation Center
Miranda-GarcÃa MA, Hoffelner M, Stoll H, Ruhaltinger D, Cichutek K, Siedler A, Bekeredjian-Ding I (2022) A 5-year look-back at the notification and management of vaccine supply shortages in Germany. Eurosurveillance 27(17):2100167
Rejeb A, Keogh JG (2021) 5G networks in the value chain. Wirel Pers Commun 117(2):1577–1599
Surantha N, Sutisna N, Nagao Y, Ochi H (2017) SoC design with HW/SW co-design methodology for wireless communication system. In: 2017 17th International symposium on communications and information technologies (ISCIT). IEEE, pp 1–6
Torjesen I (2021) Covid-19 vaccine shortages: what is the cause and what are the implications? BMJ: Br Med J (Online) 372
Wallace AS, Willis F, Nwaze E, Dieng B, Sipilanyambe N, Daniels D, Ryman TK (2017) Vaccine wastage in Nigeria: an assessment of wastage rates and related vaccinator knowledge, attitudes and practices. Vaccine 35(48):6751–6758
Yan K, Liu L, Xiang Y, Jin Q (2020) Guest editorial: AI and machine learning solution cyber intelligence technologies: new methodologies and applications. IEEE Trans Industr Inf 16(10):6626–6631
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Juned, M., Sangle, P.S., Tiwari, M.K. (2023). A Framework for 5G Enabled Vaccine Supply Chain Digital Twin. In: Tiwari, M.K., Kumar, M.R., T. M., R., Mitra, R. (eds) Applications of Emerging Technologies and AI/ML Algorithms. ICDAPS 2022. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-99-1019-9_18
Download citation
DOI: https://doi.org/10.1007/978-981-99-1019-9_18
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-1018-2
Online ISBN: 978-981-99-1019-9
eBook Packages: Business and ManagementBusiness and Management (R0)