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Narrowing the barriers to Industry 4.0 practices through PCA-Fuzzy AHP-K means

机译:通过PCA-FIZZY AHP-K缩小工业4.0实践的障碍

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Purpose - The study aims to analyze the barriers in the adoption of Industry 4.0 (I4.0) practices in terms of prioritization, cluster formation and clustering of empirical responses, and then narrowing them with identification of the most influential barriers for further managerial implications in the adoption of I4.0 practices by developing an enhanced understanding of I4.0.Design/methodology/approach - For the survey-based empirical research, barriers to L40 are synthesized from the review of relevant literature and further discussions with academician and industry persons. Three widely acclaimed statistical techniques, viz. principal component analysis (PCA), fuzzy analytical hierarchical process (fuzzy AHP) and K-means clustering are applied.Findings - The novel integrated approach shows that lack of transparent cost-benefit analysis with clear comprehension about benefits is the major barrier for the adoption of I4.0, followed by "IT infrastructure," "Missing standards," "Lack of properly skilled manpower," "Fitness of present machines/equipment in the new regime" and "Concern to data security" which are other prominent barriers in adoption of I4.0 practices. The availability of funds, transparent cost-benefit analysis and clear comprehension about benefits will motivate the business owners to adopt it, overcoming the other barriers.Research limitations/implications - The present study brings out the new fundamental insights from the barriers to I4.0. The new insights developed here will be helpful for managers and policymakers to understand the concept and barriers hindering its smooth implementation. The factors identified are the major thrust areas for a manager to focus on for the smooth implementation of I4.0 practices. The removal of these barriers will act as a booster in the way of implementing I4.0. Real-world testing of findings is not available yet, and this will be the new direction for further research.Practical implications - The new production paradigm is highly complex and evolving. The study will act as a handy tool for the implementing manager for what to push first and what to push later while implementing the 14.0 practices. It will also empower a manager to assess the implementation capabilities of the industry in advance. Originality/value - PCA, fuzzy AHP and K means are deployed for identifying the significant barriers to I4.0 first time. The paper is the result of the original conceptual work of integrating the three techniques in the domain of prioritizing and narrowing the barriers from 16 to 6.
机译:目的 - 研究旨在分析在优先级排序,集群形成和经验响应的聚类方面采用行业4.0(I4.0)实践的障碍,然后通过确定进一步管理障碍的最有影响力的障碍的识别通过制定对I4.0.Design/Methodology/Approct-for Scount的实证研究,L40的障碍通过审查相关文献和与院士和工业人士的进一步讨论来综合来通过I4.0.design/methodology/aproChe的措施的采用。 。三种广泛赞誉的统计技术,viz。应用主成分分析(PCA),模糊分析层次处理(模糊AHP)和K-Means聚类。专用 - 新颖的综合方法表明,缺乏对福利的清晰理解的透明成本效益分析是采用的主要障碍I4.0,其次是“IT基础设施”,“缺少标准”,“缺乏适当熟练的人力”,“新制度的现有机/设备的适应性”和“关注数据安全”,这是其他突出的障碍通过I4.0实践。资金的可用性,透明成本效益分析和对福利的清晰理解将激励企业主采用它,克服其他障碍。研究限制/影响 - 本研究带来了从I4.0障碍的新基本洞察力。 。这里开发的新见解将有助于管理人员和政策制定者了解妨碍其顺利实施的概念和障碍。确定的因素是经理专注于实施i4.0实践的顺利实施的主要推力区域。去除这些障碍将以实施I4.0的方式充当助推器。现实世界的测试测试尚未获得,这将是进一步研究的新方向。实践意义 - 新的生产范式非常复杂和不断发展。该研究将作为实施管理经理的一个方便的工具,以便在实施14.0实践时首先推动和推送的内容。它还将授权经理提前评估行业的实施能力。部署原始/值 - PCA,模糊AHP和K表示识别I4.0的重要壁垒。本文是在优先考虑和缩小16至6的领域中集成三种技术的原始概念工作的结果。

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