A Study on the Development and Effect of Smart Manufacturing System in PCB Line
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A production system is a management system that supports all activities to perform production operations atthe manufacturing site. From the point-of-view of a smart factory, smart manufacturing systems redesigned theconcept of onsite production systems to fit the entire system and its necessary functional composition. In thisstudy, we select the key functions needed to build a smart factory for a PCB line and propose a new six-stepmodel for the deployment of a smart manufacturing system by integrating essential functions. The smartmanufacturing system newly classified the production and operation tasks of PCB manufacturing and selectednecessary functions through requirement analysis and benchmarking of advanced companies. The selectedproduction operation tasks are mapped to the functions of the system and configured into seven modules, andthe optimal deployment model is presented to allow flexible responses to the characteristics of the tasks. Thesemethodologies are first presented in this study, and the proposed model was applied to the PCB line to confirmthat they had significant changes in the work method, qualitative effects, and quantitative effects. Typically, leadtime and WIP have reduced by about 50%.
Abstract
A production system is a management system that supports all activities to perform production operations atthe manufacturing site. From the point-of-view of a smart factory, smart manufacturing systems redesigned theconcept of onsite production systems to fit the entire system and its necessary functional composition. In thisstudy, we select the key functions needed to build a smart factory for a PCB line and propose a new six-stepmodel for the deployment of a smart manufacturing system by integrating essential functions. The smartmanufacturing system newly classified the production and operation tasks of PCB manufacturing and selectednecessary functions through requirement analysis and benchmarking of advanced companies. The selectedproduction operation tasks are mapped to the functions of the system and configured into seven modules, andthe optimal deployment model is presented to allow flexible responses to the characteristics of the tasks. Thesemethodologies are first presented in this study, and the proposed model was applied to the PCB line to confirmthat they had significant changes in the work method, qualitative effects, and quantitative effects. Typically, leadtime and WIP have reduced by about 50%.
참고문헌 (4)
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