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Full-shipload tramp ship routing and scheduling with variable speeds

机译:满载流浪汉船的变速航行和调度

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This paper investigates the simultaneous optimization problem of routing and sailing speed in the context of full-shipload tramp shipping. In this problem, a set of cargoes can be transported from their load to discharge ports by a fleet of heterogeneous ships of different speed ranges and load-dependent fuel consumption. The objective is to determine which orders to serve and to find the optimal route for each ship and the optimal sailing speed on each leg of the route so that the total profit is maximized. The problem originated from a real-life challenge faced by a Danish tramp shipping company in the tanker business. To solve the problem, a three-index mixed integer linear programming formulation as well as a set packing formulation is presented. A novel Branch-and-Price algorithm with efficient data preprocessing and heuristic column generation is proposed. The computational results on the test instances generated from real-life data show that the heuristic provides optimal solutions for small test instances and near-optimal solutions for larger test instances in a short running time. The effects of speed optimization and the sensitivity of the solutions to the fuel price change are analyzed. It is shown that speed optimization can improve the total profit by 16% on average and the fuel price has a significant effect on the average sailing speed and total profit. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文研究了满载流浪汉运输中路径和航行速度的同时优化问题。在这个问题中,一组货物可以通过不同速度范围和与负载相关的燃料消耗的异类船队从其负载运输到卸货港。目的是确定要服务的订单,并为每条船找到最佳路线,并在该路线的每一段上找到最佳航行速度,以使总利润最大化。该问题源自丹麦流浪船运输公司在油轮业务中面临的现实挑战。为了解决这个问题,提出了一种三指标混合整数线性规划公式以及一个装箱公式。提出了一种新颖的具有有效数据预处理和启发式列生成功能的分支定价算法。根据实际数据生成的测试实例的计算结果表明,启发式算法可在较短的运行时间内为小型测试实例提供最佳解决方案,为大型测试实例提供接近最佳的解决方案。分析了速度优化的影响和解决方案对燃油价格变化的敏感性。结果表明,速度优化可以使总利润平均提高16%,燃油价格对平均航行速度和总利润有显着影响。 (C)2015 Elsevier Ltd.保留所有权利。

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