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Structural mapping of public distribution system using multi-agent systems

Sudhir Ambekar (Indian Institute of Management, Indore, India)
Rohit Kapoor (Indian Institute of Management, Indore, India)
Peeyush Mehta (Indian Institute of Management, Calcutta, India)

Business Process Management Journal

ISSN: 1463-7154

Article publication date: 7 September 2015

1781

Abstract

Purpose

The purpose of this paper is to develop a framework for mapping the Indian Public Distribution System (PDS) using multi-agent system (MAS). The entire PDS supply chain from purchase to the distribution is mapped in detail by integrating stages of PDS supply chain.

Design/methodology/approach

Literature related to PDS, food grain supply chain (FGSC) and MAS is reviewed and critically assessed. Based on this a framework is proposed which will help in improving functioning of PDS.

Findings

The PDS has many shortcomings arising from its complex structure and practices which are used to implement it. The authors propose an MAS to model it in which each entity will be modelled as an agent. The authors propose two stages of supply chain. First stage models the processes from procurement to storage of food grain and second stage model the distribution process.

Practical implications

This paper will be of interest to the policy makers and decision makers involved in the PDS by providing the shortfalls in the system and also suggesting a method to model the PDS based on practices of food supply chains.

Originality/value

This paper provides the decision makers in the PDS, a framework to model and assess the entire supply chain. This will help them in effective implementation of the PDS and also improve in the areas of concerns which are pointed the study.

Keywords

Acknowledgements

The authors thank the anonymous referees, and the editor for their valuable feedback, which significantly improved the positioning and presentation of this paper.

Citation

Ambekar, S., Kapoor, R. and Mehta, P. (2015), "Structural mapping of public distribution system using multi-agent systems", Business Process Management Journal, Vol. 21 No. 5, pp. 1066-1090. https://doi.org/10.1108/BPMJ-09-2014-0081

Publisher

:

Emerald Group Publishing Limited

Copyright © 2015, Emerald Group Publishing Limited

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