Integrated planning for a global pharmaceutical supply chain: an ambidexterity perspective

Mahsa Yousefi Sarmad (), Mir Saman Pishvaee (), Hamed Jahani (), Seyed Mohammad Sadegh Khaksar () and Dmitry Ivanov ()
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Mahsa Yousefi Sarmad: Iran University of Science and Technology
Mir Saman Pishvaee: Iran University of Science and Technology
Hamed Jahani: RMIT University
Seyed Mohammad Sadegh Khaksar: La Trobe Business School, La Trobe University
Dmitry Ivanov: Berlin School of Economics and Law, Global Supply Chain and Operations Management

Annals of Operations Research, 2025, vol. 346, issue 2, No 38, 1717-1766

Abstract: Abstract Based on the concept of ambidexterity, we develop a multi-objective, multi-product, and multi-period model to integrate planning for research and development (R&D) and production and distribution (P&D) in a global pharmaceutical supply chain (PSC) considering delays in the entire supply chain. We also propose robust possibilistic programming (RPP) approach to deal with the epistemic uncertainty of some critical input parameters. Applying the ambidexterity approach that emphasizes optimizing a balanced framework based on the R&D and P&D planning, our study reconciles the explorative and exploitative supply chain strategies in the context of global PSCs. The proposed integrated model can manage the inherent delays and uncertainties in the R&D processes and P&D systems via a novel, credibility-based, robust possibilistic programming model. We illustrate the application of our model using a real-world case study of one of the largest and most reputable pharmaceutical companies in Iran. The results affirm the credibility and feasibility of the proposed model when juxtaposed with a non-integrated model. Our study suggests the use of ambidexterity approach in resource allocation planning, risk management, and enhancement of performance in sophisticated settings such as global PSCs.

Keywords: Pharmaceutical supply chain; Global supply chain; Research and development (R&D); Production and distribution; Robust possibilistic programming; Ambidexterity (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10479-023-05554-5

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