...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Transportation research >A joint optimization model for liner container cargo assignment problem using state-augmented shipping network framework
【24h】

A joint optimization model for liner container cargo assignment problem using state-augmented shipping network framework

机译：基于状态增强型运输网络框架的班轮集装箱货物分配问题联合优化模型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper proposes a state-augmented shipping (SAS) network framework to integrate various activities in liner container shipping chain, including container loading/unloading, transshipment, dwelling at visited ports, in-transit waiting and in-sea transport process. Based on the SAS network framework, we develop a chance-constrained optimization model for a joint cargo assignment problem. The model attempts to maximize the carrier's profit by simultaneously determining optimal ship fleet capacity setting, ship route schedules and cargo allocation scheme. With a few disparities from previous studies, we take into account two differentiated container demands: deterministic contracted basis demand received from large manufacturers and uncertain spot demand collected from the spot market. The economies of scale of ship size are incorporated to examine the scaling effect of ship capacity setting in the cargo assignment problem. Meanwhile, the schedule coordination strategy is introduced to measure the in-transit waiting time and resultant storage cost. Through two numerical studies, it is demonstrated that the proposed chance constrained joint optimization model can characterize the impact of carrier's risk preference on decisions of the container cargo assignment. Moreover, considering the scaling effect of large ships can alleviate the concern of cargo overload rejection and consequently help carriers make more promising ship deployment schemes. (C) 2016 Elsevier Ltd. All rights reserved.
机译：本文提出了一种状态增强型运输（SAS）网络框架，以整合班轮式集装箱运输链中的各种活动，包括集装箱装载/卸载，转运，到访港口的居住，过境等待和海上运输过程。基于SAS网络框架，我们针对联合货物分配问题开发了机会受限的优化模型。该模型试图通过同时确定最佳的船队容量设置，航线计划和货物分配方案来最大化承运人的利润。与以前的研究有一些差异，我们考虑了两种不同的集装箱需求：从大型制造商处收到的确定性合同基础需求和从现货市场收集的不确定现货需求。合并了船舶规模的规模经济，以检验在货物分配问题中船舶容量设定的规模效应。同时，引入了调度协调策略以测量运输中的等待时间和由此产生的存储成本。通过两个数值研究表明，提出的机会约束联合优化模型可以表征承运人的风险偏好对集装箱货物分配决策的影响。此外，考虑大型船舶的规模效应可以减轻对货物超载拒收的担忧，从而帮助承运人制定更有希望的船舶部署方案。 （C）2016 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号