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

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.

Bridging the gap: state-of-the-art on vertical integration

“…Vertical integration refers to the consolidation of two or more tiers within the supply chain (KEK et al, 2022), whether they are suppliers or distributors (Shraah, Abu-Rumman, Alqhaiwi, & Alsha'ar, 2022), executed within a single business group (Ellram, 1991). This movement shortens supply chain tiers, coordinating them within the same business group, indicating the extent to which manufacturing is carried out within the same firm (Olausson & Magnusson, 2011).…”

“…While there are three conditions that can increase transaction costs (uncertainty, frequency and asset specificity), it is important to consider the combination of these with production costs. Vertical integration helps in simplifying communication, having real-time data, faster allocation of resources and costsby eliminating unnecessary factors (KEK et al, 2022). Such emphasis is given to asset specificity because it is the most consistently verified influence in empirical tests of the TCE.…”

Group Decision-Making Model Based on 2-Tuple Fuzzy Linguistic Model and AHP Applied to Measuring Digital Maturity Level of Organizations

“…Title Assessing the Maturity Level of Saint Petersburg's Digital Government [41] A fuzzy rule-based industry 4.0 maturity model for operations and supply chain management [42] Monitoring Index System for Sectors' Digital Transformation and Its Application in China [43] Gold Prospectivity Mapping in the Sonakhan Greenstone Belt, Central India: A Knowledge-Driven Guide for Target Delineation in a Region of Low Exploration Maturity [44] A Measuring Tool for the Digital Maturity of Small and Medium-Sized Enterprises [45] Proposing a digital identity management framework: A mixed-method approach [46] Choosing the type of business model to implement the digital transformation strategy of a network enterprise [47] Digital Transformation Evaluation for Small-and Medium-Sized Manufacturing Enterprises Using the Fuzzy Synthetic Method DEMATEL-ANP [48] Modelling the strategies for improving maturity and resilience in medical oxygen supply chain through digital technologies [49] Logistics 4.0 in warehousing: a conceptual framework of influencing factors, benefits and barriers Study on the Digital Transformation Capability of Cost Consultation Enterprises Based on Maturity Model [50] CMMI based fuzzy logic approach to assess the digital manufacturing maturity level of manufacturing industries [51] Digital transformation in the defense industry: A maturity model combining SF-AHP and SF-TODIM approaches [52] Table 2. Studies related to digital maturity models and fuzzy logic group by category.…”