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In recent years, municipal authorities especially in the developing nations are battling to select the best health care waste (HCW) disposal technique for the effective treatment of the medical wastes during and post COVID-19 era. As evaluation of various disposal alternatives of HCW and selection of the best technique requires considering various tangible and intangible criteria, this can be framed as multi-criteria decision-making (MCDM) problem. In this paper, we propose an assessment framework for the selection of the best HCW disposal technique based on socio-technical and triple bottom line perspectives. We have identified 10 criteria on which the best HCW disposal techniques to be selected based on extant literature review. Next, we use Fuzzy VIKOR method to evaluate 9 HCW disposal alternatives. The effectiveness of the proposed framework has been demonstrated with a real-life case study in Indian context. To check the robustness of the proposed methodology, we have compared the results obtained with Fuzzy TOPSIS (Technique of Order Preference Similarity to the Ideal Solution). The results help the municipal authorities to establish a methodical approach to choose the best HCW disposal techniques. Our findings indicate that incineration is the best waste disposal technique among the available alternatives. Even if the dataset indicates 'incineration' is the best method, we must not forget about the environmental concerns arising from this method. In COVID time, incineration may be the best method as indicated by the data analysis, but "COVID" should not be an excuse for causing "Environmental Pollution".

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Since 1990s, the world has seen a lot of advances in providing humanitarian aid through sophisticated logistics operations. The current consensus seems to be that humanitarian relief organizations (HROs) can improve their relief operations by collaborating with logistics service providers (CLSPs) in the commercial sector. The question remains: how can HROs select the most appropriate CLSP for disaster preparation? Despite its practical significance, no explicit effort has been done to identify the criteria/factors in prioritizing and selecting a CLSP for disaster relief. The present study aims to address this gap by consolidating the list of criteria from a socio-technical systems (STS) perspective. Then, to handle the interdependence among the criteria derived from the STS, we develop a hybrid multi-criteria decision making model for CLSP selection in the disaster preparedness stage. The proposed model is then evaluated by a real-life case study, providing insights into the decision-makers in both HROs and CLSPs.

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Extending the notion that reshoring can have a significant impact on a firm's supply network owing to the associated location decisions, we explore how reshoring influences the resilience and sustainability of a focal firm's supply network. While reshoring is triggered by aspects related to both the home (domestic) and the host (foreign) country, frequently more favourable aspects in the home country lead to the reshoring decision. To investigate these dynamics, we construct two large-scale networks consisting of 2066 and 1283 firms, respectively, capturing the supply networks of Apple and Jaguar Land Rover. Both networks have been experiencing the reshoring of previously foreign suppliers to domestic locations. Our investigation captures the network dynamics created by this relocation of tier 1 suppliers for the overall supply chain network, that is, also for higher-tier/subtier suppliers. The results reveal, contrary to our expectations, that indirect (sub-tier) foreign suppliers positively influence the network's resilience, with this impact, however, being negatively moderated by their degree centrality, that is, the number of ties a node possesses. In addition, existing indirect (sub-tier) domestic suppliers do not have a significant influence on the resilience of the network. No evidence was found for the impact of reshoring on sustainability. Overall, our study contributes to the reshoring literature by delineating its influence on both the resilience and the sustainability of a focal firm's supply chain network.