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Abstract：
This study aims to explore the scopes and challenges, rank the challenges, and provide strategic solutions for adopting Industry Revolution 4.0 (IR 4.0) in Bangladesh\'s textile and apparel industry. A random survey was administered to a total of 142 factories in Bangladesh. Both quantitative and qualitative methods of analysis were used in this study. The survey includes questions on important study variables, such as big data, smart factories, cyber-physical systems (CPS), the Internet of Things (IoT), interoperability, textile production, and industry performance. The Variable Destination Multiple Access (VDMA) Model has been adopted to design the questionnaire, focusing on qualitative and quantitative questions. The survey dataset was investigated through SmartPLS 4.0 by normality and confirmatory tests. Likert scale data have been analyzed through IBM SPSS software version 26.0 by the exploratory factor analysis method to rank the IR 4.0 adoption variables. Analysis of the survey data indicates the level of adoption of Industry 4.0 in terms of organizational strategy, investment, infrastructure, IT (Information Technology), Ready Made Garments (RMG) skilled workers, smart operations, and smart factories. The study shows that the variable \"Review of the strategy using indicators\" got the highest ranking in the external factor, 0.791. This clearly indicates that strategy formulation is the topmost priority among other IR 4.0 adoption variables. Consequently, \"digital integration\" got the lowest loading at 0.620, as IR 4.0 digital technology adoption is very low. The overall maturity level for IR 4.0 adoption in the Bangladesh textile and apparel industry is 1.91 on a 5-point scale, indicating a low adoption level. This study can help concerned policymakers and industrialists who want to implement Industry 4.0 in the textile and RMG sectors to stay competitive in the global market. Alongside this study, it also summarizes the IR 4.0 adoption level in 9 broad categories.
摘要：
本研究旨在探讨研究的范围和挑战，对挑战进行排名，并为孟加拉国纺织服装行业采用工业革命4.0（IR4.0）提供战略解决方案。对孟加拉国总共142家工厂进行了随机调查。本研究采用定量分析和定性分析两种方法。调查包括关于重要研究变量的问题，比如大数据，智能工厂,网络物理系统(CPS)，物联网(IoT)，互操作性，纺织生产,和行业表现。采用可变目标多址(VDMA)模型设计问卷,专注于定性和定量问题。调查数据集是通过SmartPLS4.0通过正态和验证性检验进行调查的。Likert量表数据已通过IBMSPSS软件26.0版通过探索性因子分析方法进行分析，以对IR4.0采用变量进行排名。对调查数据的分析表明，在组织战略方面采用工业4.0的水平，投资,基础设施,IT（信息技术），成衣(RMG)技术工人，智能操作，智能工厂研究表明，变量“使用指标审查策略”在外部因素中排名最高，0.791.这清楚地表明，战略制定是其他IR4.0采用变量中的最优先事项。因此,“数字集成”的最低负载为0.620，因为IR4.0数字技术的采用率非常低。孟加拉国纺织和服装行业采用IR4.0的总体成熟度水平为5分制的1.91，表明采用水平较低。这项研究可以帮助希望在纺织和RMG行业实施工业4.0的相关政策制定者和工业家，以保持在全球市场上的竞争力。除了这项研究，它还总结了9大类的IR4.0采用水平。
