基于模糊逻辑的集装箱堆场作业管理系统

Ammar F. J. Al-Bazi, Q. Al-Salami, A. Abbas, Z. Jerjees
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摘要

本文的重点是将到达的集装箱分配到其中一个集装箱堆场的预先存在的堆场,特别是当集装箱的出发日期和时间未知时。当不同大小、类型和重量的集装箱需要存储在预先存在的集装箱堆场中时,这变得更加困难。主要目标是创建一个基于模糊知识的系统(FKB_CYM),该系统考虑了实际因素和限制,如每堆集装箱数量和客户、类型、尺寸和重量。使用各种工具和方法,包括离散事件(DE),模糊知识建模(FKBM)和邻域算法(NA)。本文对系统的研究结果进行了深入的讨论和评价。
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A System Based on Fuzzy Logic to Manage Operations in Container Yards
This article focuses on the assignment of arrived containers to pre-existing stacks stored in one of the container yards, particularly when the containers' date of departure and time are unknown. This becomes more difficult when different-sized, typed, and weighted containers needs be stored in pre-existing containers yard. The main objective is to create a Fuzzy Knowledge-Based System (FKB_CYM) that considers practical factors and limitations such as container quantity per stack and customer, type, size, and weight. Various tools and methodologies are used, including Discrete Event (DE), Fuzzy Knowledge-Based Modelling (FKBM), and a Neighborhood Algorithm (NA). The paper thoroughly discusses and evaluates the system's findings.
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