利用服装行业供应链管理能力评估供应链弹性:后COVID分析

IF 4 Q2 ENGINEERING, INDUSTRIAL Journal of Industrial and Production Engineering Pub Date : 2023-04-10 DOI:10.1080/21681015.2023.2197907
Md Shamimul Islam, Imranul Hoque, S. Rahman, Mohammad Asif Salam
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引用次数: 5

摘要

本研究通过提供一个有效的层次模型来评估复杂适应系统理论中与弹性相关的重要特征,为复杂适应系统理论的发展做出了贡献。在2019冠状病毒病大流行期间,孟加拉国服装业遭遇供应链中断,供应链能力在克服危机方面发挥了至关重要的作用。有限的研究建立在坚实的理论基础上,并在评估供应链弹性时考虑供应链能力。本研究旨在通过考虑供应链胜任力,建立一个多标准的分层测量结构来评估供应链弹性。采用模糊德尔菲法和模糊重要性与绩效分析法进行研究。研究结果表明,健康与安全管理、信息管理系统、商业智能、创新能力管理、技术创新和人工智能是关键标准,数据、信息和计算、技术创新和适应是需要改进的关键方面。图形抽象
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Evaluating supply chain resilience using supply chain management competencies in the garment industry: a post COVID analysis
ABSTRACT This study contributes to the complex adaptive system theory by offering a valid hierarchical model to evaluate the theory’s important features related to resilience. The garment industry in Bangladesh encountered disruption in the supply chain during the COVID-19 pandemic and the supply chain competencies played a vital role in overcoming the crisis. Limited studies are built on a solid theoretical foundation and considered supply chain competencies in assessing supply chain resilience. This study aims to develop a multi-criteria hierarchical measurement structure by considering the supply chain competencies to evaluate supply chain resilience. Fuzzy Delphi method and Fuzzy importance and performance analysis approach were applied for the study purpose. Findings reveal health and safety management, information management system, business intelligence, innovation capabilities management, technological innovation, and artificial intelligence as critical criteria, and data, information, and computing, technological innovation and adaptation are critical aspects that require improvement. Graphical abstract
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来源期刊
CiteScore
7.50
自引率
6.70%
发文量
21
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