[논문]글로벌 해운회사의 공컨테이너 재배치 최적화

최성훈; 김화중; 김광태

doi:10.7232/ieif.2011.24.2.164

글로벌 해운회사의 공컨테이너 재배치 최적화
Optimizing Empty Container Repositioning at a Global Maritime Company 원문보기

산업공학 = IE Interfaces, v.24 no.2, 2011년, pp.164 - 172

최성훈 (상명대학교 경영공학과) , 김화중 (인하대학교 물류전문대학원) , 김광태 (한국철도기술연구원 교통물류연구실)

Abstract ▼ AI-Helper

H maritime company in Korea had a long history of difficulty in obtaining enough empty containers to transport its commodities. Despite efforts to resolve the problem, the repositioning of empty containers between depots was still planned manually, which consumed much worker time. To automate the generation of reposition plans, we developed a planning system to optimize the company's reposition of empty containers between global depots with a linear programming model functioning as a key decision engine in the system. The model determines the route, volume and mode of transportation for repositioning empty containers from depots with surplus containers to those requiring containers, as well as the empty space of ships generated from the unloading or loading of full and empty containers. The system has been in operation in the company's global network since March 2008.

주제어

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문제 정의

The problem formulated in the model is the determination of the transportation volume, route, and mode for repositioning empty containers in order to satisfy the demand at globally scattered depots. The objective is to minimize the sum of the inventory holding, transportation, penalty, and lease costs. We extended previous research by incorporating the space of ships dynamically changing due to the unloading or loading of containers.

가설 설정

e., the problem is a single commodity problem. That is, our model is independently applied to and solved for each container type according to the company’s request based on their current practice.

제안 방법

The objective of our project was to develop a planning system that would be compatible with the company’s operational practices and that could quickly formulate reposition plans.
In order to solve the problem of obtaining enough empty containers at a global maritime company in Korea, we developed a planning system to optimize the company’s reposition of empty containers between global depots by a linear programming model. The problem formulated in the model is the determination of the transportation volume, route, and mode for repositioning empty containers in order to satisfy the demand at globally scattered depots. The objective is to minimize the sum of the inventory holding, transportation, penalty, and lease costs.

성능/효과

However, owing to our system, the company realized the importance of the forecast and hence continuously educated the sales people on how to forecast and insert the forecast data. In addition, the moving average method was intensified by considering the statistics of the supply and demand data, which improved the forecasting accuracy from approximately 50% to 78%.

후속연구

In addition, the single container-type model developed in our project should be extended to the multiple container-type model, in which the vessel space allocation between containers is an additional model consideration. Finally, this research should be extended by considering random factors such as random demand, random supply, and random capacity of transport modes.

참고문헌 (14)

Chang, H., Jula, H., Chassiakos, A., and Ioannou, P. (2008), A heuristic solution for the empty container substitution problem, Transportation Research Part E, 44, 203-216.

상세보기
Cheung, R. K. and Chen, C. Y. (1998), A two-stage stochastic network model and solution methods for the dynamic empty container allocation problem, Transportation Science, 32, 142-162.

상세보기
Choong, S. T. and Cole, M. H. (2002), Kutanoglu E, Empty container management for intermodal transport networks, Transportation Research Part E, 38, 423-438.

상세보기
Crainic, T. G., Gendreau, M., and Dejax, P. (1993), Dynamic and stochastic models for the allocation of empty containers, Operations Research, 41, 102-126.

상세보기
Gao, Q. (1994), An operational approach for container control in linear shipping, Logistics and Transportation Review, 30, 267-282.

상세보기
Jula, H., Chassiakos, A., and Ioannou, P. (2006), Port dynamic empty container reuse. Transportation Research Part E, 42, 43-60.

상세보기
Lai, K. K., Lam, K., and Chan, W. K. (1995), Shipping container logistics and allocation, Journal of the Operational Research Society, 46, 687-697.

상세보기
Lam, S. W., Lee, L. H., and Tang, L. C. (2007), An approximate dynamic programming approach for the empty container allocation problem. Transportation Research Part C, 15, 265-277.

상세보기
Li, J.-A., Leung, S. C. H., Wu, Y., and Liu, K. (2007), Allocation of empty container between multi-ports, European Journal of Operational Research, 182, 400-412.

상세보기
Li, J.-A., Liu, K., Leung, S. C. H., and Lai, K. K. (2004), Empty container management in a port with long-run average criterion, Mathematical and Computer Modeling, 40, 85-100.

상세보기
Olivo, A., Zuddas, P., and Francesco, M. D. (2005), Manca A, An operational model for empty container management, Maritime Economics and Logistics, 7, 199-222.

상세보기
Shen, W. S. and Khoong, C. M. (1995), A DSS for empty container distribution planning, Decision Support Systems, 15, 75-82.

상세보기
Shintani, K., Imai, A., Nishmura, E., and Papadimitriou, S. (2007), The container shipping network with empty container repositioning, Transportation Research Part E, 43, 39-59.

상세보기
Wolsey, L. A. (1998), Integer Programming, Wiley-Interscience, New York.

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연합인증

글로벌 해운회사의 공컨테이너 재배치 최적화
Optimizing Empty Container Repositioning at a Global Maritime Company 원문보기

Abstract ▼ AI-Helper

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문제 정의

가설 설정

제안 방법

성능/효과

후속연구

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글로벌 해운회사의 공컨테이너 재배치 최적화 Optimizing Empty Container Repositioning at a Global Maritime Company 원문보기

Abstract ▼ AI-Helper

주제어

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문제 정의

가설 설정

제안 방법

성능/효과

후속연구

참고문헌 (14)

이 논문을 인용한 문헌

저자의 다른 논문 :

최성훈 (18) 김화중 (13) 김광태 (3)

관련 콘텐츠

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글로벌 해운회사의 공컨테이너 재배치 최적화
Optimizing Empty Container Repositioning at a Global Maritime Company 원문보기

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