工业工程 ›› 2018, Vol. 21 ›› Issue (6): 1-6.doi: 10.3969/j.issn.1007-7375.2018.06.001

• 实践与应用 •    下一篇

多港口集装箱配载的双目标精确算法研究

郑斐峰1, 梅启煌1, 刘明2, 张小宁2   

  1. 1. 东华大学 旭日工商管理学院, 上海 200051;
    2. 同济大学 经济与管理学院, 上海 200092
  • 收稿日期:2017-02-23 出版日期:2018-12-30 发布日期:2018-12-29
  • 作者简介:郑斐峰(1976-),男,福建省人,教授,主要研究方向为现代生产与服务调度、集装箱港口物流优化.
  • 基金资助:
    国家自然科学基金资助项目(71531011);上海市人才发展资金资助项目(201471);东华大学励志计划资助项目(A201305)

A Research on Bi-Objective Exact Algorithm of Stowage Planning for Multiple Container Ports

ZHENG Feifeng1, MEI Qihuang1, LIU Ming2, ZHANG Xiaoning2   

  1. 1. Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China;
    2. School of Economics & Management, Tongji University, Shanghai 200092, China
  • Received:2017-02-23 Online:2018-12-30 Published:2018-12-29

摘要: 配载计划是集装箱运输过程中的一个重要环节,文中对多港口单个贝位的配载情形进行研究。以航线中最小翻箱数量和贝位两侧装载平衡为优化目标,把船舶航行的安全性及稳定性作为约束,建立混合整数规划的双目标优化模型。为了精确求解该问题的Pareto前沿,开发出Epsilon精确算法,通过实例证明了模型的有效性,对我国长江沿岸港口集装箱配载计划的制定具有一定的指导意义。

关键词: 配载计划, 多目标优化, Epsilon约束算法, 翻箱

Abstract: Stowage planning is one of the most important issues during container transportation. One single bay is considered during the voyage, with the aim to minimize the shifting number and the loading balance on both sides of the bay, to keep the safety and stability of the ship as a constraint, and to establish a bi-objective optimization model of mix integer programming. In order to solve this problem and obtain the Pareto front, an Epsilon constrained algorithm is developed. The validity of the model is proved by practical instance. It is of great significance to the development of the port stowage planning of the Yangtze River in China.

Key words: stowage planning, multi-objective optimization, Epsilon constrained algorithm, reshuffle

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