To read this content please select one of the options below:

Modelling the strategies for improving maturity and resilience in medical oxygen supply chain through digital technologies

Vimal K.E.K. (Department of Mechanical Engineering, National Institute of Technology Patna, Patna, India)
Simon Peter Nadeem (Centre for Supply Chain Improvement, Faculty of Business Computing and Law, University of Derby, Derby, UK)
Siddharth Meledathu Sunil (School of Mechanical Engineering, Vellore Institute of Technology, Vellore, India)
Gokul Suresh (School of Mechanical Engineering, Vellore Institute of Technology, Vellore, India)
Navaneeth Sanjeev (School of Mechanical Engineering, Vellore Institute of Technology, Vellore, India)
Jayakrishna Kandasamy (School of Mechanical Engineering, Vellore Institute of Technology, Vellore, India)

Journal of Global Operations and Strategic Sourcing

ISSN: 2398-5364

Article publication date: 4 February 2022

Issue publication date: 5 December 2022

225

Abstract

Purpose

Improving the medical oxygen supply chain (MOSC) is important to cope with the uneven demand and supply seen in the MOSC when India faced the second wave of COVID-19. This improvisation increases the supply chain (SC) maturity and consequently the efficiency and resiliency to tackle oxygen shortage across the country and to prevent another similar scenario from ever happening. The purpose of this study is to identify and prioritize the solutions to overcome the issues faced by the MOSC during the second wave of COVID-19 cases in India and in turn reduce the extent of casualties in the expected third wave.

Design/methodology/approach

This paper uses best worst method (BWM) and fuzzy technique for order performance by similarity to ideal solution to classify the sub-criteria for solutions to solve major SC issues. BWM is used to determine the weights of the sub-criteria and fuzzy technique for order performance by similarity to ideal solution for the final ranking of the solutions to be adopted.

Findings

The result of this study shows that the Internet of Things based tagging system is the best solution followed by horizontal and vertical integration of SC in making a resilient and digitized MOSC capable of handling general bottlenecks during a possible third wave.

Research limitations/implications

The research provides insights that can enable the personnel involved in MOSC. Proper understanding will help the practitioners involved in the SC to effectively tailor the operations and to allocate the resources available in an effective and dynamic manner by minimizing or eliminating the pre-existing bottlenecks within the SC.

Originality/value

The proposed framework provides an accurate ranking and decision-making tool for the implementation of the solutions for the maturity of the MOSC.

Keywords

Citation

K.E.K., V., Nadeem, S.P., Meledathu Sunil, S., Suresh, G., Sanjeev, N. and Kandasamy, J. (2022), "Modelling the strategies for improving maturity and resilience in medical oxygen supply chain through digital technologies", Journal of Global Operations and Strategic Sourcing, Vol. 15 No. 4, pp. 566-595. https://doi.org/10.1108/JGOSS-10-2021-0088

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

Related articles