COVID-19疫苗供应链牛鞭效应减少图

Seyed Mojtaba Hosseini Bamakan, Pooria Malekinejad, Mehran Ziaeian, Amirhossein Motavali
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引用次数: 19

摘要

日益严重的COVID-19病毒大流行导致迫切需要生产其疫苗。制药公司在新冠疫苗生产结束后,可能会遇到大量无法预料的需求,这可能会导致新冠疫苗供应链(CVSC)的牛鞭效应。本研究的主要目的是设计一个基于牛鞭效应减少(BER)影响因素的认知图。因此,在第一步中,利用AHP技术对影响CVSC BER的因素进行识别,并根据其重要性对其进行排序。在第二步,通过模糊认知映射(FCM)技术,考虑18个确定因素中的13个,进一步分析和理解它们之间的关系。在此基础上,精心构建了三种不同的正向情景和三种反向情景,以寻找制药企业BER的最优解。研究结果表明,柔性因子是逆向情景的起点,降低了CVSC中的牛鞭效应。此外,通过改进库存管理和可靠性因素,可以有效地控制交货期因素,从而克服CVSC中的牛鞭效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bullwhip effect reduction map for COVID-19 vaccine supply chain

The growing COVID-19 virus pandemic outbreak causes an urgent need to produce its vaccine. Pharmaceutical companies would encounter a massive wave of unforeseen demand for the COVID-19 Vaccine after the vaccine production that could lead to a bullwhip effect in the COVID-19 Vaccine Supply Chain (CVSC). The main objective of this study is to design a cognitive map based on the influential factors on the Bullwhip Effect Reduction (BER) of CVSC. Hence, in the first step, the affecting factors on the BER of CVSC are identified and ranked based on their importance from the pharmaceutical experts using the AHP technique. In the second step, 13 out of 18 identified factors are considered for further analyzing and understanding their relationship by Fuzzy Cognitive Mapping (FCM) technique. Furthermore, three different forward scenarios and three backward scenarios are carefully constructed to find the optimal solution for BER on pharmaceutical organizations. The obtained results show that the flexibility factor is the starting point of the backward scenario, which reduces the bullwhip effect in CVSC. Beside, by improving the inventory management and reliability factor, it would be effectively possible to control the lead-time factor and consequently, overcome the bullwhip effect in CVSC.

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