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Abhishek Chakraborty

Researcher at XLRI- Xavier School of Management

Publications -  22
Citations -  258

Abhishek Chakraborty is an academic researcher from XLRI- Xavier School of Management. The author has contributed to research in topics: Supply chain & Vendor. The author has an hindex of 6, co-authored 15 publications receiving 117 citations. Previous affiliations of Abhishek Chakraborty include Xavier School & Indian Institute of Management Calcutta.

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Promoting electric vehicle adoption: Who should invest in charging infrastructure?

TL;DR: In this paper, the authors studied a vehicle supply chain and formulated four different modes of developing charging infrastructures for EVs when: (a) EV manufacturer invests in setting up the charging infrastructure with a government subsidy to EV consumers, namely the Model M, (b) Government invests in charging infrastructure and also provides a subsidy to EVs consumers, such as the Model MG, and (c) Government invested in the Model G.
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A vendor-managed inventory scheme as a supply chain coordination mechanism

TL;DR: In this article, a vendor-managed inventory (VMI) arrangement in a supply chain (SC), where the buyer imposes a penalty for shipments exceeding an upper limit, was considered, and the equivalence of VMI under deterministic demand with that of quantity discount models was established.
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Joint replenishment of multi retailer with variable replenishment cycle under VMI

TL;DR: An example has been shown to illustrate the cost savings under the proposed model of an alternative replenishment scheme allowing for different replenishment cycles for each retailer.
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A game-theoretic approach for electric vehicle adoption and policy decisions under different market structures

TL;DR: Findings reveal that a combination of subsidy and green-tax can generate higher social welfare as compared to the use of only one of them under both monopoly and duopoly markets.
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Comparative assessment and selection of electric vehicle diffusion models: A global outlook

TL;DR: A comparative analysis across four different forecasting models provides a new direction to envisage energy requirements and reveals different diffusion scenarios and possible policy measures to improve EV acceptances, especially in the presence of an uncertain environment like COVID-19.