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

PERGAMON-ELSEVIER SCIENCE LTD

Open Access Color

Green Open Access

No

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No
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Average
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Average
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Top 10%

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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.

Description

Keywords

Pharmaceutical supply chain, Mathematical modelling, Supply chain resilience, Supply chain reliability, NETWORK, SELECTION, FRAMEWORK, DESIGN, Supply Chain Reliability, Mathematical Modelling, Supply Chain Resilience, Pharmaceutical Supply Chain

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WoS Q

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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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