Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/7218
Title: Agent Based Social Simulation Model and Unique Identification Based Empirical Model for Public Distribution System
Authors: Hitaswi, N.
Chandrasekaran, K.
Issue Date: 2017
Citation: Proceedings - 2017 International Conference on Recent Advances in Electronics and Communication Technology, ICRAECT 2017, 2017, Vol., , pp.324-328
Abstract: Public Distribution System is a mechanism to enhance the food security in India. It is basically a food grain supply chain to serve the needy population of the country. PDS currently suffers from problems like ghost beneficiaries, leakage, wastage of resources, non-accountability, non-transparency, etc. One of the major problems present in this system is the existence of duplicate and bogus ration cards. The Unique Identification Authority of India uniquely identifies each individual in the country. This mechanism could help us in the elimination of the problem of duplicate and bogus ration cards. In this paper, there exists an empirical study on the unique identification mechanism to identify the beneficiaries in PDS and Agent-Based social simulation of PDS. Public Distribution System is a non-profit system and the subject considered here is a supply chain that is distributed across all the states of India. The social phenomena of food grain supply chain i.e. Public Distribution System is simulated based on the principles of a multi agent based system. A multi agent based simulation and modeling toolkit namely, Netlogo is used to generate the virtual supply chain network of the Public Distribution System. � 2017 IEEE.
URI: http://idr.nitk.ac.in/jspui/handle/123456789/7218
Appears in Collections:2. Conference Papers

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