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The multi-port berth allocation problem with speed optimization and emission considerations

机译:考虑速度优化和排放考虑的多端口泊位分配问题

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The container shipping industry faces many interrelated challenges and opportunities, as its role in the global trading system has become increasingly important over the last decades. On the one side, collaboration between port terminals and shipping liners can lead to costs savings and help achieve a sustainable supply chain, and on the other side, the optimization of operations and sailing times leads to reductions in bunker consumption and, thus, to fuel cost and air emissions reductions. To that effect, there is an increasing need to address the integration opportunities and environmental issues related to container shipping through optimization. This paper focuses on the well known Berth Allocation Problem (BAP), an optimization problem assigning berthing times and positions to vessels in container terminals. We introduce a novel mathematical formulation that extends the classical BAP to cover multiple ports in a shipping network under the assumption of strong cooperation between shipping lines and terminals. Speed is optimized on all sailing legs between ports, demonstrating the effect of speed optimization in reducing the total time of the operation, as well as total fuel consumption and emissions. Furthermore, the model implementation shows that an accurate speed discretization can result in far better economic and environmental results. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在过去的几十年中,集装箱航运业在全球贸易体系中的作用日益重要,因此面临着许多相互关联的挑战和机遇。一方面,港口码头和航运班轮之间的协作可以节省成本并帮助建立可持续的供应链;另一方面,运营和航行时间的优化可以减少燃油消耗,从而为燃料加油降低成本和减少空气排放。为此,越来越需要通过优化来解决与集装箱运输相关的整合机会和环境问题。本文着重于众所周知的泊位分配问题(BAP),这是一种为集装箱码头的船只分配停泊时间和位置的优化问题。我们介绍了一种新颖的数学公式,该模型将经典的BAP扩展到在航运公司和码头之间强大合作的前提下,涵盖了航运网络中的多个港口。在端口之间的所有航行腿上都对速度进行了优化,从而证明了速度优化在减少操作总时间以及总油耗和排放方面的效果。此外,模型实现表明,精确的速度离散化可以带来更好的经济和环境结果。 (C)2017 Elsevier Ltd.保留所有权利。

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