Abstract
The Smart factory is currently being proposed as solutions to rising manufacturing costs, shrinking labor populations, and energy problems in global manufacturing. Examples of improvement in quality and productivity through smart factory construction are can be found out in many domestic and foreign enterprises. However, small and medium-sized enterprises are having difficulty to construct smart factory due to problem with an analysis of expected effects and burden of investment costs. In addition, while research on the development of smart factory technologies is relatively active, research regarding quantitative performance prediction of introduction of smart factory technologies is lacking. In this paper, a framework is designed to analyze the effects of introducting smart factory technologies, and the framework consist of the selection of technologies to be introduced, quantitative analysis of expected effects and qualitative analysis phases of expected effects. A quantitative analysis phase of expected effects uses simulation and present simulation model construction procedures and methodologies. A qualitative analysis phase of expected effects predicts the level of effectiveness of each technology through a case study of the application of smart factory technologies.
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More From: Korean Journal of Computational Design and Engineering
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