Modelling and analysis of resilience and reliability in pharmaceutical supply chains
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Date
2025
Authors
Devesh Kumar
Gunjan Soni
Ajay Pal Singh Rathore
Yigit Kazancoglu
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Ltd
Open Access Color
Green Open Access
No
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Publicly Funded
No
Abstract
The pharmaceutical industry a massive global sector responsible for pharmaceutical production development and marketing has the problem of developing robust supply chains (SCs). These SCs are becoming more complicated while functioning in a global market making them more vulnerable to disruptions. To ensure that the healthcare system operates efficiently and meets the growing demand healthcare organisations must construct resilient and reliable SCs. In this study we develop a multi-objective optimisation model to address the pharmaceutical supply chain (PSC) problem while simultaneously minimising costs and increasing network reliability. We use three essential SC design indicators: node density node complexity and node criticality as well as a network reliability indicator to improve SC resilience and reliability. Our research findings indicate that in the pharmaceutical business improving SC reliability reducing SC costs and managing total SC orders holistically can effectively reduce the risk of SC interruptions. © 2025 Elsevier B.V. All rights reserved.
Description
Keywords
Mathematical Modelling, Pharmaceutical Supply Chain, Supply Chain Reliability, Supply Chain Resilience, Dynamic Models, Fuzzy Models, Numerical Models, Mathematical Modeling, Modelling And Analysis, Network Reliability, Pharmaceutical Development, Pharmaceutical Industry, Pharmaceutical Marketing, Pharmaceutical Production, Pharmaceutical Supply Chains, Supply Chain Reliability, Supply Chain Resiliences, Analytical Models, Dynamic models, Fuzzy models, Numerical models, Mathematical modeling, Modelling and analysis, Network reliability, Pharmaceutical development, Pharmaceutical industry, Pharmaceutical marketing, Pharmaceutical production, Pharmaceutical supply chains, Supply chain reliability, Supply chain resiliences, Analytical models
Fields of Science
Citation
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Scopus Q

OpenCitations Citation Count
1
Source
Computers & Chemical Engineering
Volume
200
Issue
Start Page
109194
End Page
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Scopus : 3
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Mendeley Readers : 19
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