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Risk assessment on drug production safety based on Grey-Analytic Network Process

Jiaojiao Ge (School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China)
Benhong Peng (School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China)
Guo Wei (Department of Mathematics and Computer Science, University of North Carolina at Pembroke, Pembroke, USA)
Anxia Wan (School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China)

Kybernetes

ISSN: 0368-492X

Article publication date: 25 November 2021

Issue publication date: 3 March 2023

159

Abstract

Purpose

To strengthen the correlation analysis on risk factors of drug production safety and reduce the influence due to fuzzy judgments, a safety risk assessment method based on Grey-Analytic Network Process (G-ANP) is proposed.

Design/methodology/approach

First, an index system evaluating drug production safety risk is constructed according to the “Good Manufacture Practice of Medical Products,” next the influence weight of each risk index is derived by using the Analytic Network Process, then the grey number of each risk index is determined by further utilizing the grey statistical theory, and finally the risk level of drug production is obtained.

Findings

An empirical study is conducted and the results support the feasibility and practicability to use G-ANP method for drug production safety risk evaluation. The results of the case show that it is feasible and practical to use G-ANP method for drug production safety risk evaluation.

Originality/value

The innovation lies in the use of G-ANP method to fully consider the interdependence and interaction between the risk factors of drug production safety, which improves the objectivity in judging the risk level of drug production and provides a scientific basis for pharmaceutical manufacturers to formulate further decisions and management in the case of insufficient quantification of risk factors. Based on the findings, more targeted suggestions are made to reduce the production risk of pharmaceutical enterprises.

Keywords

Acknowledgements

The authors are grateful to the case company for permitting and supporting this research. This work was financially supported by the Humanities and Social Sciences Fund Project of Ministry of Education (Grant number 20YJAZH096), and Key Project of National Social and Scientific Fund Program (18ZDA052).

Funding: This work was financially supported by Humanities and social sciences research project of the Ministry of Education (20YJAZH096).

Conflicts of interest: The authors declare no conflict of interest.

Citation

Ge, J., Peng, B., Wei, G. and Wan, A. (2023), "Risk assessment on drug production safety based on Grey-Analytic Network Process", Kybernetes, Vol. 52 No. 3, pp. 1127-1148. https://doi.org/10.1108/K-07-2021-0576

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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