基于新型粗糙MCDM模型的COVID-19大流行期间供应链管理(SCM)故障与SCM策略选择

Željko Stević, A. Ulutaş, Selçuk Korucuk, Saliha Memiş, Ezgi Demir, Ayşe Topal, Çağlar Karamaşa
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引用次数: 2

摘要

供应链管理受到新冠肺炎疫情的严重影响,各个环节都出现了故障。如今,管理人员需要技术来保护供应链免受严重和昂贵的中断,与客户和合作伙伴建立永久的关系,并防止整个过程中的故障。每个公司都需要确定SCM战略,以便为激烈竞争环境中的故障做好准备。随着新冠肺炎疫情的到来,商业和贸易环境的变化呈现出不同的维度,它揭示了供应链永久化努力与供应链管理战略之间的新关系,并启用了新的模式。本研究旨在对项目管理和项目实现中导致SCM中断的因素进行优先排序,并在考虑COVID-19的情况下选择最成功的SCM策略。为此,采用粗糙的SWARA作为加权因子,采用粗糙的MARCOS进行备选选择。根据研究结果,运输能力因素是导致供应链故障的最重要因素。最理想的供应链管理战略是“协同供应链管理战略”。在食品制造业,该研究可以被视为在新冠疫情期间防止供应链管理中断并有助于确保可持续生产的路线图。作为本研究的另一个理论和实践重要性,它旨在提出一个鲁棒的、强大的、实用的决策模型,可以应对当前的不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Supply Chain Management (SCM) Breakdowns and SCM Strategy Selection during the COVID-19 Pandemic Using the Novel Rough MCDM Model
Supply chain management (SCM) is deeply affected by the COVID-19 pandemic besides breakdowns occurred in all sectors. Nowadays, managers need techniques for protecting supply chains from serious and costly disruptions, establishing permanent relationships with the customers and partners and preventing breakdowns throughout the process. Each firm needs to determine SCM strategies to be prepared for breakdowns in an intense competitive environment. With COVID-19, the change in business and trade environments has taken a different dimension, and it has revealed a new relationship between the efforts to perpetuate supply chains and strategies for supply chain management and enabled new models. In this study, it is aimed to prioritize the factors that lead to SCM breaks needed in project management and the realization of projects, and to choose the most successful SCM strategy considering COVID-19. For this purpose, rough SWARA was used for weighting factors and rough MARCOS was used for the alternative selection. According to the findings, the transportation capacity factor was found to be the most important factor leading to SCM breakdowns. The most ideal supply chain management strategy has been the “collaborative supply chain management strategy.” In the food manufacturing sector, the study can be considered as a roadmap in terms of preventing supply chain management breaks during the COVID-19 process and helping to ensure a sustainable production. As another theoretical and practical importance of the study, it is aimed to propose a robust, powerful, and practical decision-making model that can cope with the current uncertainties.
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