ABSTRACT
Purpose>The catastrophic state of the COVID-19 pandemic outbreak has seized off all the operations along with the globe. It has not only distressed the socio-economic structure of the world but also mounted enormous pressure on the governmental bodies to save the lives of the people. Despite this, severe impacts of the same have been observed on the small and medium manufacturing enterprises (SMME) practices, resulting in the economic downturn. The purpose of this study is to facilitate the SMME’s with circular economy (CE) practices to overcome the negative impacts of the COVID-19 outbreak on their supply chain (SC) operations.Design/methodology/approach>The presented work identified seven critical impacts as criteria of the novel COVID-19 pandemic on the Indian SMME and seeks to identify the relief measures in the CE paradigm by identifying 13 prominent enablers to CE as alternatives. Experts’ opinions have been engaged to detect CE enablers’ proficiency to overpower the pandemic impact through a questionnaire-based survey. The obtained data have been clustered and analyzed through a hybrid approach of entropy weight method and grey relational analysis to find an organized ranking of the enablers.Findings>Current work spotlights the SMME’s losses due to SC disruptions and declined consumption patterns. The waste augmentation during the pandemic era has also been grouped in this study, primarily associating with the SC’s waste generation. The result of the performed analysis shows that the CE enabler “waste reduction and its transformation into a resource (E1)” have achieved the highest rank among all the considered enablers, governing a higher demand toward reusing waste for better handling the post COVID era state of affairs.Originality/value>The presented study aimed to suppress the pandemic impact and generate anticipation of the CE concept, which might help the managers and policymakers identify its urgent need to achieve a stable and resilient SC system in a post COVID period. Presented work is peculiar, aiming to accelerate the CE adaption with green material usage in the industrial sector to suppress the present miserable condition and to achieve industrial and social sustainability for a better-foreseen future.
ABSTRACT
PurposeA poor performance of the cold supply chain (CSC) may increase the loss of quality and potency of perishables and temperature-sensitive products that deteriorate the financial and environmental aspects of the same. The purpose of the current research work is to identify the critical performance factors (criteria) and their co-factors (sub-criteria) that are responsible for the performance measurement of CSC and suggest the best possible solutions (alternatives) to improve the same.Design/methodology/approachTo achieve the objective of the research, a hierarchical model has been developed and analyzed using Analytic Hierarchy Process (AHP)-Fuzzy TOPSIS as a hybrid approach to obtain the severity weights of the identified criteria and prioritization toward their relative importance for the best possible alternatives.FindingsAnalysis reveals that the criteria “energy consumption” comes out to be the most critical criteria, and alternative “application of passive cold devices” is the most effective solution for improving the performance of CSC. Higher energy consumption leads to a higher rate of greenhouse gas (GHG) emissions increasing the global warming phenomenon, high operational cost and degradation of natural energy resources. The Application of Passive Cold Devices (PCDs) utilizes solar energy to operate the refrigeration units reducing the energy consumption, environmental and operating cost of CSC.Research limitations/implicationsThe research work provides several insights into the critical issues related to the CSC and suggests significant findings that enable the management and decision-makers to adopt these practices for performance evaluation and improvement of the same. The key findings of the work, such as “application of passive cold devices” and “application of IoT in cold chain logistics”, facilitate an improved platform to improve the CSC performance and proposed several directions that will enhance the merit of future research.Originality/valueThe presented study consolidates the various perspectives associated with CSC performance, explores the most critical criteria and proposes the best suitable cold chain practices for organizational growth. The work also provides an analytical analysis with the essence of practicalities and sensitivity analysis to support the robustness of the results. By enriching the literature and quantitative analysis of the new proposed model, this paper forms vast managerial and research implications in the field of CSC.
ABSTRACT
BACKGROUND AND AIMS: During COVID-19 pandemic, researchers are using innovative technologies for fast-tracking the development to end this menace. Virtual Reality (VR) also offers an imperative role for fighting this pandemic, through audiovisual-based virtual communication. METHODS: A brief study on Virtual Reality and its applications for the COVID-19 pandemic is carried out by employing keywords as Virtual reality or VR and COVID-19 from the databases of SCOPUS, Google Scholar, PubMed, Web of science Academia and ResearchGate. RESULTS: VR is beneficial for remote sites for exploring telemedicine, planning, treatment, and controlling of the infections by providing proper awareness to the people regarding this disease. CONCLUSIONS: VR technology develops a platform to reduce the face to face interaction of doctors with the infected COVID-19 patients. Through live video streaming, it helps to improve surveillance systems on the ongoing situation.