Pant simulation for robot automation system of deep-frying process of Kimbugak
Data-driven plant simulation for robot automation of the front and the rear deep-frying process of Kimbugak was developed. Robot automation process for deep-frying of dried bugak, namely semi-finished product, was suggested based on analysis of work flow of the manual process. A selective compliance...
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| Published in | Food science and biotechnology pp. 503 - 514 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
한국식품과학회
01.02.2025
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| Subjects | |
| Online Access | Get full text |
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| Summary: | Data-driven plant simulation for robot automation of the front and the rear deep-frying process of Kimbugak was developed. Robot automation process for deep-frying of dried bugak, namely semi-finished product, was suggested based on analysis of work flow of the manual process. A selective compliance assembly robot arm robot and collaborative robot were selected and implemented to improve the pick & place and frying processes, respectively. Modeling and logical sequence were developed using the standard library tools of Tecnomatix Plant Simulation from Siemens (V2201). The key performance indicators including throughput, utilization rate, and human resources were analyzed. Plant simulation results of the sorting, pick & place and frying process with application of robot automation showed that production increased by 21% as it was able to treat 1,380 Kimbugaks for improved process along with number of worker is reduced to utilization rate of 10% and 70% compared to manual process, respectively. KCI Citation Count: 0 |
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| ISSN: | 1226-7708 2092-6456 |
| DOI: | 10.1007/s10068-024-01813-8 |