Advanced Supply Chain Planning Model to Boost Resilience and Sustainability: Evidence of a Pharmaceutical Supply Chain

Mejia J.; Galindo V.; Ramos E.; Fuqua D. · Smart Innovation, Systems and Technologies (2026) · DOI: 10.1007/978-3-032-12999-4_20

Resumen

This study proposes a conceptual model that integrates advanced supply chain planning to enhance supply chain resilience and sustainability. Drawing from previous literature, the study explores how such planning approaches contribute to strengthening supply chains and improving long-term operational stability. The model is developed through a structured review of academic sources and expert perspectives, with an emphasis on theoretical alignment and systemic relevance. Using the Best-Worst Method (BWM) as a decision-making framework, the paper outlines key factors that may influence effective resource allocation and disruption management. While no empirical validation is conducted, the study highlights potential criteria for improving operations, particularly in terms of reducing disruptions and optimizing resource use. This work offers a foundation for future empirical research and supports ongoing discussions on resilient and sustainable supply chain strategies. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Instituciones: Universidad Peruana de Ciencias Aplicadas