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Decision modeling of risks in pharmaceutical supply chains

Moktadir, Md Abdul; Ali, Syed Mithun; Mangla, Sachin Kumar; Sharmy, Tasnim Ahmed; Luthra, Sunil; Mishra, Nishikant; Garza-Reyes, Jose Arturo

Authors

Md Abdul Moktadir

Syed Mithun Ali

Sachin Kumar Mangla

Tasnim Ahmed Sharmy

Sunil Luthra

Jose Arturo Garza-Reyes



Abstract

© 2018, Emerald Publishing Limited. 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.

Citation

Moktadir, M. A., Ali, S. M., Mangla, S. K., Sharmy, T. A., Luthra, S., Mishra, N., & Garza-Reyes, J. A. (2018). Decision modeling of risks in pharmaceutical supply chains. Industrial management + data systems, 118(7), 1388-1412. https://doi.org/10.1108/IMDS-10-2017-0465

Journal Article Type Article
Acceptance Date Aug 13, 2018
Online Publication Date Sep 17, 2018
Publication Date Sep 28, 2018
Deposit Date Jun 8, 2022
Journal Industrial Management and Data Systems
Print ISSN 0263-5577
Publisher Emerald
Peer Reviewed Peer Reviewed
Volume 118
Issue 7
Pages 1388-1412
DOI https://doi.org/10.1108/IMDS-10-2017-0465
Keywords Bangladesh; Analytical hierarchy process; Supply chain management; Risks; Delphi method; Pharmaceutical supply chain
Public URL https://hull-repository.worktribe.com/output/3613960