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A weighted fuzzy Petri-net analysis for Indian foodgrains supply chain

Rishabh Rathore (Department of Operations Management and IT, ICFAI Business School, Hyderabad, India)
Jitesh Thakkar (National Rail and Transportation Institute, Vadodara, Vadodara, India)
J.K. Jha (Department of Industrial and Systems Engineering, IIT Kharagpur, Kharagpur, India)

International Journal of Productivity and Performance Management

ISSN: 1741-0401

Article publication date: 5 June 2023

94

Abstract

Purpose

This paper investigates the overall system risk for a foodgrains supply chain capturing the interrelationship among the risk factors and the effect of risk mitigation strategies.

Design/methodology/approach

This paper first calculates the weight of risk factors using an integrated approach of failure mode, effects analysis and fuzzy VIKOR technique. Next, the weights are utilized as input for the weighted fuzzy Petri-net (WFPN) approach to calculate the system risk.

Findings

Two different WFPN models are developed based on the relationships among the risk factors, and both models demonstrate a higher risk value for the overall system.

Originality/value

The proposed methodology will help practitioners or managers understand the complexity involved in the system by capturing the interrelationship behaviour. This study also considers the concurrent effect of risk mitigation strategies for calculating the overall system risk, which helps to improve the system’s performance.

Keywords

Citation

Rathore, R., Thakkar, J. and Jha, J.K. (2023), "A weighted fuzzy Petri-net analysis for Indian foodgrains supply chain", International Journal of Productivity and Performance Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJPPM-05-2022-0238

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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