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An intelligent, empty container dispatching system model using fuzzy set theory and genetic algorithm in the context of industry 4.0
Enterprise Information Systems ( IF 4.4 ) Pub Date : 2020-09-02 , DOI: 10.1080/17517575.2020.1807060
Min-Der Ko

ABSTRACT

Shipping in ports with unbalanced export and import volumes will have problems of excess as well as shortage of empty containers at the decentralised yards. In this research, through the cost estimation model of container dispatching, the total empty container dispatching cost is calculated in order to avoid any shortage of containers. This paper proposes an intelligent empty container dispatching system model that utilises fuzzy set theory for cost estimation and genetic algorithms to obtain the optimal solution for empty container dispatching. This study shows a better decision support tool for empty container dispatching in the context of industry 4.0.



中文翻译:

工业4.0背景下基于模糊集理论和遗传算法的智能空箱调度系统模型

摘要

在进出口量不平衡的港口运输,会出现分散堆场空箱多缺的问题。本研究通过集装箱调度成本估算模型,计算出空箱总调度成本,避免集装箱短缺。本文提出了一种智能空箱调度系统模型,该模型利用模糊集理论进行成本估计和遗传算法来获得空箱调度的最优解。本研究展示了在工业 4.0 背景下更好的空箱调度决策支持工具。

更新日期:2020-09-02
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