Impact of Yard Organisation on the Master Bay Planning Problem

In this paper the authors analyse the impact of the yard organisation on container stowing operations. The authors deal with the Master Bay Plan problem (MBPP), that consists in stowing containers of different types into available locations on a containership; the aim is to minimise the berthing time in such a way that structural and operational constraints, related to both the containers and the ship, are satisfied. In particular, the authors study how the total stowage time changes due to possible reloading operations, when different picking sequences are considered. The authors use a binary linear programming model for MBPP that has been recently proposed in literature considering two main scenarios. First, the authors assume to have all containers ready to be loaded on board in the quay independently of their stack position in the yard. In this case, the authors solve MBPP as it is having as objective function just the minimisation of the loading time. Then, the authors take into account the yard constraints following the directions of the planning office, which makes the bay plans according to the stocking area requirements and the picking list for the containers to be loaded. In the third case, the authors present a procedure that enables the authors to consider different lot arrivals and opportunely relax some constraints. Moreover, the authors assume that the containers are stored in the yard into different stacks on the basis of their size, destination and weight, depending on the storage strategy chosen by the yard managers. The authors evaluate alternative yard storage strategies with real size stowage plans of a containership located at a maritime terminal in Genoa. The results show that, when the authors look for the berthing time minimisation, it is quite important to think about the optimisation of the flow of containers from the yard to the quay.


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  • Accession Number: 01606207
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 27 2016 11:24AM