Decision modeling of risks in pharmaceutical supply chains
Industrial Management & Data Systems
ISSN: 0263-5577
Article publication date: 17 September 2018
Issue publication date: 28 September 2018
Abstract
Purpose
Managing risks is becoming a highly focused activity in the health service sector. In particular, due to the complex nature of processes in the pharmaceutical industry, several risks have been associated to its supply chains. The purpose of this paper is to identify and analyze the risks occurring in the supply chains of the pharmaceutical industry and propose a decision model, based on the Analytical Hierarchy Process (AHP) method, for evaluating risks in pharmaceutical supply chains (PSCs).
Design/methodology/approach
The proposed model was developed based on the Delphi method and AHP techniques. The Delphi method helped to select the relevant risks associated to PSCs. A total of 16 sub risks within four main risks were identified through an extensive review of the literature and by conducting a further investigation with experts from five pharmaceutical companies in Bangladesh. AHP contributed to the analysis of the risks and determination of their priorities.
Findings
The results of the study indicated that supply-related risks such as fluctuation in imports arrival, lack of information sharing, key supplier failure and non-availability of materials should be prioritized over operational, financial and demand-related risks.
Originality/value
This work is one of the initial contributions in the literature that focused on identifying and evaluating PSC risks in the context of Bangladesh. This research work can assist practitioners and industrial managers in the pharmaceutical industry in taking proactive action to minimize its supply chain risks. To the end, the authors performed a sensitivity analysis test, which gives an understanding of the stability of ranking of risks.
Keywords
Citation
Moktadir, M.A., Ali, S.M., Mangla, S.K., Sharmy, T.A., Luthra, S., Mishra, N. and Garza-Reyes, J.A. (2018), "Decision modeling of risks in pharmaceutical supply chains", Industrial Management & Data Systems, Vol. 118 No. 7, pp. 1388-1412. https://doi.org/10.1108/IMDS-10-2017-0465
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited