Factors Affecting Successful Implementation of Smart Manufacturing Systems

Abstract

Although the introduction and utilization of smart manufacturing systems within the industry is accelerating, it is difficult to quantitatively analyze the effects of smart manufacturing systems. It is also difficult to grasp the factors that influence the success of system implementation. In this study, we measured the factors affecting the successful implementation of various types of smart manufacturing systems by confirming the factors affecting user satisfaction of smart manufacturing system. Based on the 282 samples, this study empirically tests a structural model using PLS 3.0 for the explanation of the successful implementation of smart manufacturing system. As a result of this study, it is expected to find that which factors affect to the user satisfaction of the system among the sub-factors representing aspects of information, systemic, organizational, and user background.