A Study on the Structural Relationship among Technological Determinants, Manufacturing Operations, and Performances for Implementing a Smart Factory in Small Businesses

Sehyug Kwon, Jong-gon Yang
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引用次数: 1

Abstract

The digital transformation of the 4th industrial revolution is leading to changes and innovations in the global economy. Various countries are focusing on reviving their manufacturing industries and economic recovery through smart factories. The purpose of this study is to empirically identify technological determinants for the successful implementation of the smart factory and to verify teose effects on manufacturing operations and the firms' operational/environmental performances. Five factors, including sensor network, platform technology, information system, intelligent automation, and safety, were defined as core technologies. The SEM analysis results of 157 small and medium-sized manufacturing firms that have implemented smart factories are as follows. First, sensor network, platform technology, and information system had significant effects on smart manufacturing operations. Second, smart manufacturing operations have improved firm performance. This study is valuable in that it has confirmed the effectiveness of government-funded projects and systemized key technologies for implementing smart factories. Meanwhile, it is helpful for practitioners to support an efficient and effective decision-making for the new adoption.
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小型企业实施智能工厂的技术决定因素、制造运营和绩效之间的结构关系研究
第四次工业革命的数字化转型正在引领全球经济的变革和创新。各国都在通过智能工厂来振兴制造业和恢复经济。本研究的目的是实证地确定智能工厂成功实施的技术决定因素,并验证它们对制造运营和公司运营/环境绩效的影响。将传感器网络、平台技术、信息系统、智能自动化、安全等5个要素定义为核心技术。对157家实施智能工厂的中小制造企业的SEM分析结果如下:首先,传感器网络、平台技术和信息系统对智能制造运营的影响显著。二是智能制造提升了企业绩效。这项研究的价值在于,它证实了政府资助项目的有效性,并将实施智能工厂的关键技术系统化。同时,也有助于从业者对新采用的决策提供高效的支持。
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