A stochastic beam search for the berth allocation problem
Decision Support Systems
Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
A multiprocessor task scheduling model for berth allocation: heuristic and worst-case analysis
Operations Research Letters
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The berth-allocation problem (BAP) aims to optimally schedule and assign ships to berthing areas along a quay. The vessels arrive at the port over a period of time and normally request and compete for early service start and departure. Berth allocation policies with service priority are important in terminal operations and are applicable in situations involving various vessel sizes, different handling volumes and different service strings. In this paper the discrete and dynamic BAP is formulated as a linear MIP problem with linear constraints, with the objective to minimize the weighted total service time. A heuristic is also presented for large instances of the problem.