Modelling and analysis of resilience and reliability in pharmaceutical supply chains

dc.contributor.author Devesh Kumar
dc.contributor.author Gunjan Soni
dc.contributor.author Ajay Pal Singh Rathore
dc.contributor.author Yigit Kazancoglu
dc.date.accessioned 2025-10-06T17:48:33Z
dc.date.issued 2025
dc.description.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.
dc.identifier.doi 10.1016/j.compchemeng.2025.109194
dc.identifier.isbn 008030270X, 9780080302706
dc.identifier.issn 00981354
dc.identifier.issn 0098-1354
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005579403&doi=10.1016%2Fj.compchemeng.2025.109194&partnerID=40&md5=fb3f9ecae47b59fc3de6537ba6305055
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/7978
dc.language.iso English
dc.publisher Elsevier Ltd
dc.relation.ispartof Computers & Chemical Engineering
dc.source Computers and Chemical Engineering
dc.subject 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
dc.subject 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
dc.title Modelling and analysis of resilience and reliability in pharmaceutical supply chains
dc.type Article
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gdc.description.startpage 109194
gdc.description.volume 200
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gdc.opencitations.count 1
gdc.plumx.mendeley 19
gdc.plumx.scopuscites 3
person.identifier.scopus-author-id Kumar- Devesh (57212687742), Soni- Gunjan (26423256300), Rathore- Ajay Pal Singh (15763606900), Kazancoglu- Yigit (15848066400)
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