• Transactions of the Korean Society of Automotive Engineers
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• v.21 no.3
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• pp.58-65
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• 2013

In this paper, we propose that a model based design for an electric motor cycle system using ASM (Automotive Simulation Models). Before prototyping a realistic electric motorcycle, a reliable simulation program is required to test the capacities of the power sources and optimize the parameters of an electric motorcycle. Because ASM is based on Simulink, we can design the drivetrain and powertrain of the vehicle model systems easily. To verify the electric motorcycle system analysis of design parameters such as max power, capacity, state of charge and slope angle is carried out by the simulation and experimental method. The predicted results by the development model were in good agreement with the experimentally obtained results. Therefore, the proposed electric motorcycle model can effectively reduce the expenses during the designing of an electric motorcycle system.

• Journal of the Korea Society for Simulation
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• v.32 no.3
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• pp.93-108
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• 2023

In manufacturing productivity analysis, understanding the intricate interplay among factors like facility performance, layout design, and workforce allocation within the production line is imperative. This paper introduces a simulation-based methodology tailored to food manufacturing, progressively expanding scenarios to analyze production enhancement. The target system is a food processing plant, encompassing production processes, including warehousing, processing, subdivision, packaging, inspection, loading, and storage. First, we analyze the target system and design a simulation model according to the actual layout arrangement of equipment and workers. Then, we validate the developed model reflecting the real data obtained from the target system, such as the workers' working time and the equipment's processing time. The proposed model aims to identify optimal factor values for productivity gains through incremental scenario comparisons. To this end, three stages of simulation experiments were conducted by extending the equipment and worker models of the subdivision and packaging processes. The simulation experiments have shown that productivity depends on the placement of skilled workers and the performance of the packaging machine. The proposed method in this study will offer combinations of factors for the specific production requirements and support optimal decision-making in the real-world field.