Yanwei Zhang

Work place: College of Logistics Engineering, Wuhan University of Technology, Wuhan, P.R. China

E-mail: zywtg@whut.edu.cn


Research Interests: Computational Engineering, Engineering


Yanwei Zhang female, was born in Henan, June 1977, received her BEng in Power Engineering and MEng in Mechanical Engineering from Wuhan University of Technology, China, and received PhD Degree in School of Mechanical Engineering, Tongji University, China. Now she is an Associate Professor of Wuhan University of Technology, China. Her research interests are in such operational research areas as container port optimization, simulation and decision-making.

Author Articles
Multi-agent-based Fuzzy Dispatching for Trucks at Container Terminal

By Meng Yu Yanwei Zhang

DOI: https://doi.org/10.5815/ijisa.2010.02.06, Pub. Date: 8 Dec. 2010

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. n this paper, Multi-agent system (MAS) is used as the basis for an intelligent dispatch system. To aim at that the characteristic of management of container terminal is how to optimize resource of terminal, the trends of decision-making way for management of container terminal, research and application of Multi-Agent system is summarized. 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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