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식품 이송 및 해체 공정 로봇 자동화를 위한 데이터 기반 생산 시뮬레이션 연구 KCI 등재

Data-Based Production Simulation Study for Robot Automation of Food Transport and Disassembly Manufacturing Process

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  • URLhttps://db.koreascholar.com/Article/Detail/428430
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산업식품공학 (Food Engineering Progress)
한국산업식품공학회 (Korean Society for Food Engineering)
초록

This study selected two labor-intensive processes in harsh environments among domestic food production processes. It analyzed their improvement effectiveness using 3-dimensional (3D) simulation. The selected processes were the “frozen storage source transfer and dismantling process” (Case 1) and the “heavily loaded box transfer process” (Case 2). The layout, process sequence, man-hours, and output of each process were measured during a visit to a real food manufacturing factory. Based on the data measured, the 3D simulation model was visually analyzed to evaluate the operational processes. The number of workers, work rate, and throughput were also used as comparison and verification indicators before and after the improvement. The throughput of Case 1 and Case 2 increased by 44.8% and 69.7%, respectively, compared to the previous one, while the utilization rate showed high values despite the decrease, confirming that the actual selected process alone is a high-fatigue and high-risk process for workers. As a result of this study, it was determined that 3D simulation can provide a visual comparison to assess whether the actual process improvement has been accurately designed and implemented. Additionally, it was confirmed that preliminary verification of the process improvement is achievable.

목차
서 론
재료 및 방법
    공정시뮬레이션 개발을 위한 주변 장치 및 로봇 설계
    로봇 적용을 위한 식품 제조 공정 설명
    3D 시뮬레이션 모델링을 위한 공정 적용 경계 조건
결 과
고 찰
요 약
Acknowledgements
저자
  • 김태형(한국식품연구원 디지털팩토리사업단) | Tae Hyong Kim (Digital Factory Project Group, Korea Food Research Institute) Corresponding author
  • 백승훈(한국식품연구원 디지털팩토리사업단) | Seunghoon Baek (Digital Factory Project Group, Korea Food Research Institute)
  • 권기현(한국식품연구원 디지털팩토리사업단) | Ki Hyun Kwon (Digital Factory Project Group, Korea Food Research Institute)