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http://dx.doi.org/10.6109/jkiice.2007.11.10.1999

A Study for the Container Job-scheduleing using Advanced Clover Algorithm  

Kwon, Jang-Woo (동명정보대학교 컴퓨터공학과)
Hong, Jun-Eui (동명정보대학교 컴퓨터공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.11, no.10, 2007 , pp. 1999-2007 More about this Journal
Abstract
This article describes advanced clover algorithm for effective loading and unloading of containers using stackers position data in a yard. The job scheduling must rely on job assign of stackers and position data processing to dynamically allocate stackers, and maintain multiple job processing, all based on task requirements. A stacker tracking using GPS and GIS is an essential capability and is used as yard loading and unloading process improvement for yard management. After estimating position of stackers in a yard the raper describes advanced clover algorithm and other techniques for monitoring loading and unloading of individual containers as well as combinatorial stacker load balancing problems such as estimating load of each stackers. Results from simulations and experimental implementations have demonstrated that the suggested approaches are efficient in stacker management.
Keywords
GPS; RFID; GIS;
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