Modelling and analysis of resilience and reliability in pharmaceutical supply chains

IF 3.9 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Devesh Kumar , Gunjan Soni , Ajay Pal Singh Rathore , Yigit Kazancoglu
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引用次数: 0

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.
药品供应链弹性和可靠性的建模和分析
制药业是一个负责药品生产、开发和营销的庞大全球部门,它面临着建立健全供应链(SCs)的问题。这些SCs在全球市场上运作时变得越来越复杂,这使它们更容易受到干扰。为了确保医疗保健系统有效运行并满足不断增长的需求,医疗保健组织必须构建有弹性和可靠的SCs。在本研究中,我们开发了一个多目标优化模型来解决药品供应链(PSC)问题,同时最小化成本和提高网络可靠性。我们使用三个基本的SC设计指标:节点密度、节点复杂性和节点临界性,以及网络可靠性指标来提高SC的弹性和可靠性。我们的研究结果表明,在制药企业中,提高供应链可靠性、降低供应链成本和整体管理供应链订单可以有效地降低供应链中断的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Chemical Engineering
Computers & Chemical Engineering 工程技术-工程:化工
CiteScore
8.70
自引率
14.00%
发文量
374
审稿时长
70 days
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.
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