Devesh Kumar , Gunjan Soni , Ajay Pal Singh Rathore , Yigit Kazancoglu
{"title":"药品供应链弹性和可靠性的建模和分析","authors":"Devesh Kumar , Gunjan Soni , Ajay Pal Singh Rathore , Yigit Kazancoglu","doi":"10.1016/j.compchemeng.2025.109194","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":286,"journal":{"name":"Computers & Chemical Engineering","volume":"200 ","pages":"Article 109194"},"PeriodicalIF":3.9000,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modelling and analysis of resilience and reliability in pharmaceutical supply chains\",\"authors\":\"Devesh Kumar , Gunjan Soni , Ajay Pal Singh Rathore , Yigit Kazancoglu\",\"doi\":\"10.1016/j.compchemeng.2025.109194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":286,\"journal\":{\"name\":\"Computers & Chemical Engineering\",\"volume\":\"200 \",\"pages\":\"Article 109194\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Chemical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S009813542500198X\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Chemical Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S009813542500198X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Modelling and analysis of resilience and reliability in pharmaceutical supply chains
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.
期刊介绍:
Computers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems.