Browsing by Author "Chaudhuri, Atanu"

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    A conceptual framework for improving effectiveness of risk management in supply networks
    (Emerald, 2020-03-09) Chaudhuri, Atanu; Ghadge, Abhijeet; Gaudenzi, Barbara; Dani, Samir
    Purpose The purpose of the paper is to develop a conceptual framework for improving the effectiveness of risk management in supply networks following a critical literature review. Design/methodology/approach A critical review of 91 scholarly journal articles published between 2000 and 2018 supports the development of an integrated conceptual framework.
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    Selecting spare parts suitable for additive manufacturing: a design science approach
    (Taylor & Francis, 2020-04-27) Chaudhuri, Atanu; Gerlich, Hasse Andreas; Jayaram, Jayanth; Ghadge, Abhijeet; Shack, Johan; Brix, Benjamin Hvidberg; Hoffbeck, Lau Holst; Ulriksen, Nikolaj
    Additive manufacturing (AM) can help to deliver spare parts within short lead times and thus avoid maintaining huge inventories. Companies exploring opportunities to produce spare parts using AM face challenges in identifying suitable spare parts to be produced. Moreover, a single method may not be applicable for all companies and needs to be adapted considering the characteristics of the parts in the portfolio. This study follows a design science approach to addresses an evident research gap by developing a process to identify spare parts suitable for AM. The case data was analyzed using multi-criteria decision-making and cluster analysis techniques. The research contributes by developing and demonstrating a methodology to identify spare parts suitable for AM from a portfolio of a large number of spare parts, where adequate discrimination was not obtained by ranking all parts together. The study develops generic guidelines for spare parts selection for AM and outline the generalizability of the proposed methodology beyond the domain of part selection for AM.
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    Visualisation of ripple effect in supply chains under long-term, simultaneous disruptions: a system dynamics approach
    (Taylor and Francis, 2021-10-26) Ghadge, Abhijeet; Er, Merve; Ivanov, Dmitry; Chaudhuri, Atanu
    Supply chains (SCs) are exposed to multiple risks and vulnerable to disruption propagation (i.e. the ripple effect). Despite established literature, quantitative analysis of the ripple effect in SCs considering simultaneous, long-term disruptions (i.e. induced by the COVID-19 pandemic) remains limited. This study defines, applies and demonstrates the capability of system dynamics modelling to recognise and visualise the ripple effect subject to supply, demand, and logistics disruptions as well as a combined, simultaneous disruption of supply, demand and logistics. Simulation results for these four risk scenarios indicate that disruption propagation and its impacts vary based on risk type, combination of risks and the impacting node. The bi-directional, increasing effect is significant for disruptions of longer duration. Retailers and manufacturers are most fragile to multiple disruptions due to broader risk exposure points. In generalised terms, systems theory-based study provides insights into the complex behaviour of simultaneous risks and associated disruptions occurring at a node and across the SC. The outcomes derived can help practitioners visualise and recognise the dynamic nature of the ripple effect cascading across the SC network. In addition, some novel insights on the systemic nature and delayed impact of disruption propagations are uncovered and discussed.