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The Scientific World Journal
Volume 2013, Article ID 246578, 13 pages
http://dx.doi.org/10.1155/2013/246578
Research Article

Order Batching in Warehouses by Minimizing Total Tardiness: A Hybrid Approach of Weighted Association Rule Mining and Genetic Algorithms

1Department of Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, Johor Bahru, 81310 UTM Skudai, Malaysia
2Department of Computer Science, Faculty of Computer Science, Universiti Teknologi Malaysia, Johor Bahru, 81310 UTM Skudai, Malaysia
3Enterprise Research Centre, University of Limerick, Limerick, Ireland

Received 17 April 2013; Accepted 23 May 2013

Academic Editors: Y.-P. Huang and P. Melin

Copyright © 2013 Amir Hossein Azadnia et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Amir Hossein Azadnia, Shahrooz Taheri, Pezhman Ghadimi, Muhamad Zameri Mat Saman, and Kuan Yew Wong, “Order Batching in Warehouses by Minimizing Total Tardiness: A Hybrid Approach of Weighted Association Rule Mining and Genetic Algorithms,” The Scientific World Journal, vol. 2013, Article ID 246578, 13 pages, 2013. https://doi.org/10.1155/2013/246578.