지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.5
- 수록면
- 87 - 101 (15page)
- DOI
- 10.25052/KSCM.2024.05.24.1.87
이용수
초록· 키워드
오류제보하기
As the e-Commerce and Smart Logistics rapidly grow up, the new advanced digital transformation technologies such as AI, Big Data, and Block Chain have propagted in logistics industy. While introducing the automated system, most of companies have faced several problems related to investment for developing and operating systems. Especially, these problems may have great negative impact on stability of system operation, operational efficiency of processes, collision or bottle-neck effect among operators, customer satisfaction, and expected profit. Thus, in this research, we have proposed a simulation framework to support the decision-making process which aims to introduce automated systems. Also, we have compared the performance based on the optimal operation plans and the corresponding cost by considering the structure of the fulfillment center and the required number of automated robots. With the proposed framework, it is possible to support the reasonable decision-making process to introduce automated systems and robots in fulfillment centers.
목차
1. 서론
2. 연구 배경
3. 연구모형 설계
4. 결과 및 분석
5. 결론 및 한계점
REFERENCES
참고문헌 (17)
참고문헌 신청
Baker, P. & Halim, Z. (2007). An exploration of warehouse automation implementations: Cost. service and flexibility issues. Supply Chain Management: An International Journal, 12, 129-138.
Bellusci, M., Basilico, N., & Amigoni, F.(2020). Multi-agent path finding in configurable environments. International Foundation for Autonomous Agents and Multiagent Systems, 159-167.
Fragapane, G., De Koster, R., Sgarbossa, F., & Strandhagen, J. O.(2021). Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda. European Journal of Operational Research, 294 405-426.
Heath, B. L., Ciarallo, F. W., & Hill, R. R.(2013). An agent-based modeling approach to analyze the impact of warehouse congestion on cost and performance. The International Journal of Advanced Manufacturing Technology, 67, 563-574.
Keung, K. L., Lee, C. K., Liqiao, X., Chao, L., Bufan, L., & Ji, P.(2023). A cyber-physical robotic mobile fulfillment system in smart manufacturing: The simulation aspect. Robotics and Computer-Integrated Manufacturing, 83(5), 102578.
Bellusci, M., Basilico, N., & Amigoni, F.(2020). Multi-agent path finding in configurable environments. International Foundation for Autonomous Agents and Multiagent Systems, 159-167.
Fragapane, G., De Koster, R., Sgarbossa, F., & Strandhagen, J. O.(2021). Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda. European Journal of Operational Research, 294 405-426.
Heath, B. L., Ciarallo, F. W., & Hill, R. R.(2013). An agent-based modeling approach to analyze the impact of warehouse congestion on cost and performance. The International Journal of Advanced Manufacturing Technology, 67, 563-574.
Keung, K. L., Lee, C. K., Liqiao, X., Chao, L., Bufan, L., & Ji, P.(2023). A cyber-physical robotic mobile fulfillment system in smart manufacturing: The simulation aspect. Robotics and Computer-Integrated Manufacturing, 83(5), 102578.
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