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|Title:||A Semi-Centralised Dynamic Stochastic Model for Operational Maritime Empty Container Repositioning Under Uncertainty|
|Authors:||Khakbaz, Mohammad Hossein|
operational coordination mechanisms
|Publisher:||University of Sydney|
Institute of Transport and Logistics Studies
|Abstract:||A SEMI-CENTRALISED DYNAMIC STOCHASTIC MODEL FOR OPERATIONAL MARITIME EMPTY CONTAINER REPOSITIONING UNDER UNCERTAINTY Maritime shipping containers are responsible for slashing transportation costs and improving the bottom line. Yet empty containers need to be repositioned globally between seaports and regionally between consignees, inland depots, and terminals to meet customer demand. Previous research has focused primarily on the repositioning of empty containers between seaports or on land. However, limited research has been conducted on the operational coordination mechanisms of empty container repositioning, which could include loading, unloading, inventory, leasing, and in particular postponing and transhipment activities. Specifically, when the supply and demand of empty containers and ship capacity are subject to uncertainty, available information systems are not capable of estimating the uncertain parameters and providing up-to-date information required for informed and effective decision making. This thesis develops a semi-centralised dynamic stochastic empty container repositioning decision-making model for the operational management of empty containers in a multi-community, multi-level, and multi-period shipping network. The proposed model ensures an efficient and rational allocation of empty containers in the shipping network while optimising a port’s operations. The proposed model consists of two phases. First, headquarters make weekly decisions about the delivery of empty containers to ports. This is done using a multi-stage stochastic linear optimisation mathematical model based on weekly information from all ports. These decisions result in a plan for operational real-time decisions at the port level. After receiving the plan for the target delivery for the week, the ports then develop their own empty container management plans using a multi-criteria, multi-stage stochastic programming model based on daily regional information that takes into account any possible gaps between target delivery and actual demand as well as port-specific constraints and priorities. The applicability of the proposed empty container repositioning decision-making model is demonstrated with a numerical experiment consisting of multiple ports and multiple routes with multiple planning horizons. The results demonstrate that the proposed model is more useful and less costly than existing models at assisting shipping companies with meeting the demand for empty containers under conditions of uncertainty.|
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|Rights and Permissions:||The author retains copyright of this thesis. It may only be used for the purposes of research and study. It must not be used for any other purposes and may not be transmitted or shared with others without prior permission.|
|Type of Work:||PhD Doctorate|
|Type of Publication:||Doctor of Philosophy Ph.D.|
|Appears in Collections:||Sydney Digital Theses (University of Sydney Access only)|
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