Continuous manufacturing technologies in upstream pharmaceutical supply chains: Combining engineering and managerial criteria

IF 1.9 Q3 MANAGEMENT
Parminder Kaur Aulakh, Ettore Settanni, Jagjit Singh Srai
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引用次数: 2

Abstract

The COVID-19 pandemic exposed vulnerabilities in upstream pharmaceutical supply chains (PSC). One is that the global supply of active pharmaceutical ingredients (APIs) is overly dependent on few locations and large-scale batch manufacturing. Regulators hope to enable more dependable location decisions and improved processing quality with the adoption of advanced technologies such as process intensification through continuous manufacturing (CM). Conceptual work suggests that the benefits of shifting from batch to CM accrue end-to-end across the PSC. Yet detailed quantitative information about CM is limited at an early stage of evaluation, and too specialised to inform managerial decisions about PSC reconfiguration. Supply chain and engineering criteria are rarely combined in the early-stage evaluation of alternative CM technologies. Extant CM research typically overlooks implications for supply chain managers. To address the current gap, this article evaluates, at an early stage of adoption, alternative CM reactor technologies for the synthesis of APIs in selected therapeutic areas. With evidence from secondary data, relevant technologies and criteria are identified, and their relative importance is evaluated in a semi-quantitative fashion following analytical hierarchy process (AHP) principles, ensuring that findings are intelligible to both engineers and managers. The proposed empirical work enriches previous conceptual frameworks predicated on volume-variety considerations. Specifically, findings suggest that, all things considered, microreactor technologies outperform alternatives. However, PSC managerial considerations introduce nuances in specific therapeutic areas, for example, antivirals where a tension between complex chemistry and the need for flexibility in unit operations may favour batch manufacturing. For analgesics the need to exploit the existing manufacturing base whilst addressing inventory reduction favours technologies that incorporate elements of batch and CM. The proposed analysis is in line with real-world decisions that global medicines manufacturers are increasingly facing, as governments seek to develop local health countermeasures to the COVID-19 pandemic in the absence of detailed information.

Abstract Image

上游医药供应链中的连续制造技术:结合工程和管理标准
COVID-19大流行暴露了上游药品供应链(PSC)的脆弱性。一是全球原料药(api)的供应过度依赖于少数地点和大规模批量生产。监管机构希望通过采用先进技术(如通过连续制造(CM)进行过程强化)来实现更可靠的选址决策和提高加工质量。概念性工作表明,从批处理转向CM的好处在整个PSC中端到端累积。然而,在评估的早期阶段,关于CM的详细定量信息是有限的,而且过于专业化,无法为有关PSC重组的管理决策提供信息。供应链和工程标准很少在可选的管理管理技术的早期评估中结合起来。现有的供应链管理研究通常忽略了对供应链管理者的影响。为了解决目前的差距,本文在采用的早期阶段评估了在选定的治疗领域合成原料药的替代CM反应器技术。根据二手数据的证据,确定相关技术和标准,并根据分析层次过程(AHP)原则以半定量的方式评估其相对重要性,确保工程师和管理人员都能理解研究结果。提出的实证工作丰富了先前基于体积-品种考虑的概念框架。具体来说,研究结果表明,考虑到所有因素,微反应器技术优于其他选择。然而,PSC管理考虑在特定治疗领域引入了细微差别,例如,抗病毒药物,复杂化学和单元操作灵活性之间的紧张关系可能有利于批量生产。对于镇痛药来说,在解决库存减少问题的同时,需要利用现有的生产基地,这有利于结合批次和CM元素的技术。拟议的分析符合全球药品制造商日益面临的现实决策,因为各国政府在缺乏详细信息的情况下寻求制定当地的COVID-19大流行卫生对策。
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
CiteScore
4.70
自引率
10.00%
发文量
14
期刊介绍: The Journal of Multi-Criteria Decision Analysis was launched in 1992, and from the outset has aimed to be the repository of choice for papers covering all aspects of MCDA/MCDM. The journal provides an international forum for the presentation and discussion of all aspects of research, application and evaluation of multi-criteria decision analysis, and publishes material from a variety of disciplines and all schools of thought. Papers addressing mathematical, theoretical, and behavioural aspects are welcome, as are case studies, applications and evaluation of techniques and methodologies.
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