Bo Hyun Kim

TL;DR: In this article, the authors surveyed and analyzed various articles related to Smart Manufacturing, identified the past and present levels, and predicted the future, and the major key technologies related to smart manufacturing were identified through the analysis of the policies and technology roadmaps of Germany, the U.S., and Korea that have government-driven leading movements for Smart Manufacturing.

TL;DR: In this article, the authors proposed a strategic plan and a systematic design for the efficient implementation and application of the virtual factory to real manufacturing companies, which is a digital-manufacturing-based smart manufacturing system that predicts, solves, improves and manages problems with overall production tasks by linking them to the actual sites, in a virtual environment.

TL;DR: In this article, a machining time estimator for sculptured surfaces is proposed, which uses several factors, such as the distribution of NC blocks, angle between the blocks, federates, acceleration and deceleration constants, classifying tool feed rate patterns into four types based on the acceleration and acceleration profile, NC block length, and minimum feed rate.

TL;DR: A manufacturing data analytics library is suggested to provide consolidated information, including a data-mining model, its datasets, and preprocessing methods for specific manufacturing problems, to clarify the difficulties and challenges in applying big data analytics to small and medium-sized manufacturing enterprises.

TL;DR: In this paper, the problem of classifying manufacturing process conditions into normal and defective products according to defect types is dealt with and cost-sensitive ensembles were able to classify the imbalanced data and detect the defect conditions more precisely and more exactly than 19 algorithms in other classification categories.