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A Simulation-based Performance Analysis of a Zone Picking System with Two Conveyor Lanes KCI 등재

두 개의 컨베이어 레인을 활용하는 구역 피킹 시스템 시뮬레이션 분석

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한국산업경영시스템학회지 (Journal of Society of Korea Industrial and Systems Engineering)
한국산업경영시스템학회 (Society of Korea Industrial and Systems Engineering)
초록

Sequential zone picking is an order picking method designed to enhance warehouse efficiency by dividing the storage area into multiple zones and picking items in a sequential order across these zones. Picked items are often placed in dedicated totes and transported between zones using a conveyor system, which manages the picking flow but can occasionally result in inefficiencies during the process. This study presents a variant of the sequential zone picking system, called a dual-lane zone picking system (DZP), which consists of two parallel conveyor lanes without buffers between consecutive zones. This conveyor configuration allows the picker in each zone to alternate processing between the two lanes, thereby lessening the constraints of tote transitions between zones and improving both system throughput and picker utilization. We design and conduct a series of experiments using a discrete-event simulation model to evaluate the performance of DZPs. The experiment results indicate that DZP surpasses the original single-lane zone picking system by shortening the system’s mean flow time in low flow intensity scenarios and achieving a higher maximum throughput and worker utilization in high flow intensity scenarios. Additionally, we investigate the effects of the number of zones and order batching size on the performance of DZP to gain further insights into the system’s operational control.

목차
1. 서 론
2. 문헌연구
3. 시스템 설명
4. 시뮬레이션 모델링
    4.1 DZP 운영환경 및 가정사항
    4.2 시뮬레이션 실험 요소
    4.3 생산성 평가 지표
5. 시뮬레이션 실험 설계 및 결과
    5.1 평균 도착 간격에 따른 생산성 비교
    5.2 컨베이어 속도에 따른 완료 시간 비교
    5.3 구역 수에 따른 최대 작업자 가동률 비교
    5.4 배치 크기의 영향 분석
6. 결 론
Acknowledgement
References
저자
  • Thao Huong Tran-Vo(Major in Industrial Data Science and Engineering, Department of Industrial Engineering, Pusan National University) | 트란 보 타오 흐엉 (부산대학교 산업공학과 산업데이터공학융합전공)
  • Bosung Kim(Major in Industrial Data Science and Engineering, Department of Industrial Engineering, Pusan National University) | 김보성 (부산대학교 산업공학과 산업데이터공학융합전공)
  • Soondo Hong(Department of Industrial Engineering, Pusan National University) | 홍순도 (부산대학교 산업공학과) Corresponding author