A Dispatching Method for Trucks at Container Terminal by Using Fuzzy-CNP Concept

2010 International Conference on Logistics Engineering and Intelligent Transportation Systems Pub Date : 2010-12-10 DOI:10.1109/LEITS.2010.5665006

Mengting Yu, Shaomei Wang, Yun Cai

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引用次数: 4

Abstract

At container terminals, containers are transported from the marshalling yard to the quay and vice versa by Container Trucks (CTs). This study discusses how to dispatch CTs by utilizing information about pickup and delivery locations and time in future delivery tasks based on dynamic dispatching strategy in which multiple tasks are matched with multiple CTs. In this paper, Multi-agent system (MAS) is used as the basis for an intelligent dispatch system. Relationship between transport tasks and service of CTS has been taken as a contract net using the fuzzy set theory and method. Considering the load of communication and consultation efficiency in system, the bidirectional negotiation mechanism is adopted. The dispatching model based on Contract Network Protocol (CNP) using bidirectional negotiation is provided for assigning optimal delivery tasks to CTs and fuzzy reasoning process of dispatching decisions is suggested. The method has both virtues of precision of static planning and flexibility of CNP and has been confirmed by cases.

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基于模糊- cnp概念的集装箱码头货车调度方法

在集装箱码头，集装箱由集装箱卡车(CTs)从编组场运往码头，反之亦然。基于多任务多ct匹配的动态调度策略，探讨了如何利用未来配送任务中的取货地点和时间信息对ct进行调度。本文采用多智能体系统(MAS)作为智能调度系统的基础。运用模糊集理论和方法，将CTS运输任务与服务之间的关系看作一个契约网。考虑到系统的沟通负荷和协商效率，采用双向协商机制。提出了基于合同网络协议(CNP)的双向协商调度模型，并提出了调度决策的模糊推理过程。该方法具有静态规划的精度和CNP的灵活性，并通过实例得到了验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2010 International Conference on Logistics Engineering and Intelligent Transportation Systems

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