Improvement of public distribution system efficiency applying blockchain technology during pandemic outbreak (COVID-19)

Author:

Kumar AnupORCID

Abstract

PurposeThe purpose of this paper is to analytically examine the viability of using blockchain technology (BT) in a public distribution system (PDS) supply chain to overcome issues of shrinkage, misplacement and ghost demand.Design/methodology/approachThe authors use a standard news vendor model with two objectives, the first of which includes a reduction of the total cost of stock, while the second includes minimization of the negative impact of human suffering due to the nonavailability of subsidized food supplies to the needy people.FindingsThe authors applied the model to a real-life case to draw meaningful insights. The authors also analyzed the cost/benefit tradeoff of adopting BT in a PDS supply chain. The results show that the adoption of BT in a charitable supply chain can reduce pilferage and ghost demand significantly.Originality/valueThe paper is positioned for utilizing inventory visibility via consistent and tamper-resistant data stream flow capability of BT to enhance the overall efficiency of PDS. Notably, Indian PDS faces three major challenges in terms of its supply chain efficiency.

Publisher

Emerald

Subject

Management Information Systems

Reference86 articles.

1. Applying blockchain technology for situational awareness in logistics: an example from rail;Supply Chain Finance and Blockchain Technology,2018

2. Public distribution of food in India: coverage, targeting and leakages;Food Policy,1993

3. Food supply chain integrity: the need to go beyond certification;Industrial Management and Data Systems,2017

4. Blockchain technologies: the foreseeable impact on society and industry;Computer,2017

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