Investigating and modeling interactions among manufacturing barriers due to Covid-19 pandemic: an interpretive ranking process

G. K. Badhotiya, Leena Sachdeva, G. Soni
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引用次数: 2

Abstract

PurposeThe manufacturing industry is one of the most disrupted systems as a result of the global spread of the Covid-19 pandemic. Manufacturing firms are looking for strategies and policies to deal with the situation while also meeting customer demands. This study aims to discuss and analyze the barriers that have impacted manufacturing systems during this period.Design/methodology/approachThe barriers and performance measures were extracted from the extant literature and further discussed with academic and industry experts. Based on the response of experts, a list of ten barriers and five performance measures were selected for further analysis. The interpretive ranking process (IRP) is applied to analyze the inter-relationship among the barriers with respect to performance variables. The cross-interaction matrices and the dominance profile are created to prioritize the barriers. Based on dominance value, an IRP-based manufacturing barrier evaluation model is developed for validation.FindingsThe impact of the pandemic on the manufacturing industry is analyzed through the list of barriers and a structured ranking model is proposed. The research findings of the study indicate that “Financial constraints” is the most influential barrier to manufacturing due to the outbreak of Covid-19, followed by “Government imposed restrictions” and “Setbacks in logistics services.”Practical implicationsThe ranking of barriers and developed interpretive ranking process model would be helpful for practitioners and policymakers to formulate strategies for manufacturing organizations to deal with the pandemic situation. The finding can be beneficial as it promotes similar studies in other sectors.Originality/valueThis study contributes to the manufacturing sector by developing a contextual relationship among the set of identified barriers against various performance measures. As per the author's knowledge, this is the first study that provides a relationship and ranking of manufacturing barriers due to the outbreak of Covid-19.
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调查和建模2019冠状病毒病大流行造成的制造业壁垒之间的相互作用:一个解释性排名过程
由于Covid-19大流行的全球传播,制造业是受影响最严重的系统之一。制造企业正在寻找策略和政策来应对这种情况,同时也满足客户的需求。本研究旨在讨论和分析在此期间影响制造系统的障碍。设计/方法/方法从现有文献中提取障碍和性能衡量标准,并与学术界和行业专家进一步讨论。根据专家的反馈,我们选择了10个障碍和5个绩效指标进行进一步分析。应用解释性排序过程(IRP)分析了绩效变量方面障碍之间的相互关系。交叉交互矩阵和优势概况被创建来优先考虑障碍。基于优势值,建立了基于irp的制造业壁垒评价模型进行验证。通过障碍列表分析了疫情对制造业的影响,并提出了结构化排序模型。研究结果显示,新冠肺炎疫情对制造业影响最大的障碍是“资金限制”,其次是“政府限制”和“物流服务受挫”。实践意义建立的障碍排序和解释性排序过程模型将有助于从业者和决策者制定制造企业应对疫情的策略。这一发现可能是有益的,因为它可以促进其他领域的类似研究。原创性/价值本研究通过在针对各种绩效指标的一系列已识别障碍之间建立上下文关系,为制造业做出了贡献。据作者所知,这是第一项研究,提供了由于Covid-19爆发而导致的制造业壁垒的关系和排名。
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