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Achieving flexible manufacturing competence: The roles of advanced manufacturing technology and operations improvement practices

机译:实现灵活的制造能力:先进制造技术和运营改进实践的作用

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Purpose - To respond to increasing environmental uncertainty, manufacturers are enhancing flexible manufacturing competence (FMC) as a source of competitive advantage. This study aims to extend research on FMC to its antecedent variables by investigating the impacts of advanced manufacturing technology and operations improvement practices (OIP) on FMC. Design/methodology/approach - Using survey data from 273 manufacturing firms, this research tests additive, mediating, and moderating models that relate these variables. Findings - Among three alternative models, the moderating model is best supported. The results indicate that advanced manufacturing technology has a stronger positive impact on FMC when OIP are effectively implemented than when they are not. Research limitations/implications - The research focuses attention on the antecedent variables to production competence, rather than on the concept and positive performance effect of production competence. Practical implications - For managers, the issue is not simply purchasing automation but developing OIP to effectively use advanced manufacturing technologies, thereby achieving the magnifying effects of human capital on FMC. Originality/value - This paper investigates FMC and its antecedent variables by testing three alternative models, and it offers assistance to managers who are implementing advanced manufacturing technologies and OIP.
机译:目的-为了应对不断增长的环境不确定性,制造商正在增强柔性制造能力(FMC)作为竞争优势的来源。这项研究旨在通过调查先进制造技术和运营改进实践(OIP)对FMC的影响,将对FMC的研究扩展到其先前变量。设计/方法/方法-使用来自273个制造公司的调查数据,本研究测试了与这些变量相关的加性模型,中介模型和调节模型。调查结果-在三种替代模型中,最好地支持调节模型。结果表明,先进的制造技术在有效实施OIP时,对FMC的积极影响要比未有效实施时强。研究的局限性/含意-研究将注意力集中在生产能力的前因变量上,而不是生产能力的概念和积极绩效效应上。实际意义-对于管理人员而言,问题不仅仅在于购买自动化,还在于开发OIP以有效使用先进的制造技术,从而实现人力资本对FMC的放大作用。原创性/价值-本文通过测试三个替代模型来调查FMC及其前因变量,它为正在实施先进制造技术和OIP的管理人员提供帮助。

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