Shipping Container Logistics and Allocation

A major shipping company in Hong Kong is faced with several logistical and allocation problems. It needs to find a better way to allocate empty containers that are transported from the Middle East to ports in the Far East, subject to vessel schedules and capacities. It needs to know what to do when...

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Vydáno v:	The Journal of the Operational Research Society Ročník 46; číslo 6; s. 687 - 697
Hlavní autoři:	Lai, K. K., Lam, Kokin, Chan, W. K.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Taylor & Francis 01.06.1995 Macmillan Press Palgrave Macmillan UK Palgrave Pergamon Press Taylor & Francis Ltd
Témata:	Allocation Applied sciences Business and Management Case Oriented Papers Case-Oriented Paper Container terminals Exact sciences and technology Heuristic Heuristics Leases Logistics Management Operational research and scientific management Operational research. Management science Operations research Operations Research/Decision Theory Planning Ports Safety stock Sea Transport Shipping Short term leases Simulation Simulations Storage containers Studies Hong Kong China China Planning Allocation Sea Transport Simulation Heuristics Logistics Function block diagram Conservation of resources Computer simulation Container ship Heuristic method Simulation model Maritime transportation Forecast model Method study
ISSN:	0160-5682, 1476-9360
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Abstract	A major shipping company in Hong Kong is faced with several logistical and allocation problems. It needs to find a better way to allocate empty containers that are transported from the Middle East to ports in the Far East, subject to vessel schedules and capacities. It needs to know what to do when the supply of empty containers is less than the demand, and it needs to determine the mix of container types that the company should maintain in the long run. To deal with these challenges, a simulation model of the shipping company's operational activities was developed. Heuristic search was employed to identify the policies that yield the lowest operating cost in terms of leasing, storage, pick-up, drop-off and other charges. What makes the problem difficult is that the forecasts of future export movement as well as the demand for empty containers change continually and the company is faced with the possibility of lost sales if containers are not available when requested by customers. This study provided insights that resulted in substantial savings to the shipping company while increasing customers' satisfaction.
AbstractList	A major shipping company in Hong Kong is faced with several logistical and allocation problems. It needs to find a better way to allocate empty containers that are transported from the Middle East to ports in the Far East, subject to vessel schedules and capacities. It needs to know what to do when the supply of empty containers is less than the demand, and it needs to determine the mix of container types that the company should maintain in the long run. To deal with these challenges, a simulation model of the shipping company's operational activities was developed. Heuristic search was employed to identify the policies that yield the lowest operating cost in terms of leasing, storage, pick-up, drop-off and other charges. What makes the problem difficult is that the forecasts of future export movement as well as the demand for empty containers change continually and the company is faced with the possibility of lost sales if containers are not available when requested by customers. This study provided insights that resulted in substantial savings to the shipping company while increasing customers' satisfaction. A major shipping company in Hong Kong is faced with several logistical and allocation problems. It needs to find a better way to allocate empty containers that are transported from the Middle East to ports in the Far East, subject to vessel schedules and capacities. It needs to know what to do when the supply of empty containers is less than the demand, and it needs to determine the mix of container types that the company should maintain in the long run. To deal with these challenges, a simulation model of the shipping company's operational activities is developed. Heuristic search is employed to identify the policies that yield the lowest operating cost in terms of leasing, storage, pick-up, drop-off and other charges. What makes the problem difficult is that the forecasts of future export movement as well as the demand for empty containers change continually and the company is faced with the possibility of lost sales if containers are not available when requested by customers. Insights are provided that result in substantial savings to the shipping company while increasing customers' satisfaction.
Author	Lam, Kokin Lai, K. K. Chan, W. K.
Author_xml	– sequence: 1 givenname: K. K. surname: Lai fullname: Lai, K. K. organization: City University of Hong Kong – sequence: 2 givenname: Kokin surname: Lam fullname: Lam, Kokin organization: City University of Hong Kong – sequence: 3 givenname: W. K. surname: Chan fullname: Chan, W. K. organization: Orient Overseas Container Line Ltd
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Title	Shipping Container Logistics and Allocation
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