Automated storage/retrieval systems (AS/RS) remain essential in various industries, including smart factories and distribution centers. This study analyzes the flow time of a twin crane AS/RS (TC-AS/RS) with connected material handling systems such as automated guided vehicles (AGVs). To account for system variability, we developed a discrete-event simulation model considering factors such as arrival and service rates. The simulation data is further analyzed using a G/G/1 queueing model to evaluate system performance. Experimental results show that analyzing TC-AS/RS at the crane-level improves estimation accuracy compared to system-level G/G/1 model. Additionally, the input/output (I/O) configuration significantly impacts flow times, with the Both ends I/O layout help prevent bottlenecks under high demand in the connected material handling system.

1. 서 론
2. 문헌 연구
3. 시스템 분석 및 시뮬레이션
    3.1 대상 시스템 설명
    3.2 시스템 변동성
    3.3 시뮬레이션 모델
4. 대기이론 기반 생산성 분석
    4.1 운영 로그데이터 분석
    4.2 G/G/1 모델 기반 생산성 해석
5. 실 험
    5.1 시스템 및 크레인 관점의 G/G/1 모델 예측정확도 분석
    5.2 시스템 부하 및 I/O 구조의 영향 분석
6. 결 론
Acknowledgement
References

• Bosung Kim(Major in Industrial Data Science and Engineering, Department of Industrial Engineering, Pusan National University) | 김보성 (부산대학교 산업공학과 산업데이터공학융합전공)
• Jihyeon Ryu(Major in Industrial Data Science and Engineering, Department of Industrial Engineering, Pusan National University) | 류지현 (부산대학교 산업공학과 산업데이터공학융합전공)
• Min Hong(Mobile Display Logistics Automation Team, Samsung Display) | 홍민 (삼성디스플레이 중소형사업부 물류자동화팀)
• Soondo Hong(Department of Industrial Engineering, Pusan National University) | 홍순도 (부산대학교 산업공학과) Corresponding author