不确定到达和装卸时间的泊位分配问题

M. Oudani, Abderaouf Benghalia
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引用次数: 0

摘要

泊位分配问题(Berth Allocation Problem, BAP),即船舶泊位分配问题,是海运集装箱码头中遇到的经典决策问题。以最有效的方式将船舶分配到泊位,可以减少集装箱的处理时间,提高集装箱船舶的服务质量。虽然一些研究论文在假设船舶到达时间和集装箱处理时间提前已知的情况下处理BAP的确定性版本,但很少有研究人员考虑不确定性问题。本文的主要建议是考虑到船舶到达时间和装卸结束时间的不确定性,对船舶进行泊位分配。我们建立了两个模糊混合线性规划来表述这个问题,并使用一种成功的参数化方法将模糊模型转化为清晰的模型。
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Berth Allocation Problem with uncertain arrival and handling times
The Berth Allocation Problem (BAP), or the assignment of berths to ships, is a classical decision problem encountered in maritime container terminals. Ships assignment to berths in most efficient way enables to reduce the handling times of containers and improves the service quality for container ships. While several research papers deal with deterministic version of the BAP assuming that the arrival times of ships and handling times of containers are known in advance, few researchers consider uncertainty issues. The main propose of the current paper is to allocate ships to berths considering the uncertainty in arrival times and in the end times of handling. We build two fuzzy mixed linear programs to formulate the problem and we use a successful parametric approach to transform fuzzy models to crisp ones.
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