스마트팩토리 실행전략이 경영성과에 미치는 영향에 관한 연구

With the First industrial revolution which enabled mechanization by invention of steam engine in the late 18th century, the Second industrial revolution that made mass production by petroleum and electric energy in the early 20th century became an opportunity to increase production, realizing economies of scale in manufacturing. In detail, this led to enterprise competitiveness, lowering manufacturing cost. Furthermore, by rapid spreading of computer and the Third industry called knowledge revolution based internet, manufacturing field had its renaissance and enterprises enjoyed prosperity, keeping up with steps of industrial revolution. In the other hand, as the Fourth industrial revolution began, where a technology is combined with another technology for a new one, and real world is connected with cyberspace, it is urgent for manufacturing enterprises to establish management strategy that can make it possible to secure competitiveness in the midst of uncertain environment to bring management performance. Accordingly, the study tried to investigate influences of Smart factory implementation strategy upon management performance which can be a recent new competitive arms and power source for an enterprise. For the study, first model was set through pilot study. However, for higher model-fit, the model was finally set, using modification index. For analysis, structural equation modeling was used. As the results, hypothesis that Smart factory implementation strategy would give significant influences on management performance was partially selected. As a result of this Study, External integration, a sub-factor of the smart factory execution strategy, had a statistically significant effect on productivity, a sub-factor of management performance. Also,, facility automation, work automation, and gradual improvement, which are sub-factors of the smart factory execution strategy, each had a statistically significant effect on quality performance, which is a sub-factor of management performance. This can be presented as an empirical basis for partially adopting the research hypothesis for this study design model. Moreover, Apart from Excluding the stated results, Many of sub-factor of Hypotheses are related each other possible to check. On the other hand, the sub-factors of the smart factory, such as task automation, gradual improvement, and internal integration factors, did not have a statistically significant positive effect on productivity, which is a sub-factor of business performance. This seems to be due to the influence of the smart factory execution strategy to expand the introduction and operation of companies through external integration. In detail, it can be judged as the scalability of the performance by each stage or by the establishment of the operation direction for each stage that the company systemizes.