@article{(Open Science Index):https://publications.waset.org/pdf/10012251,
	  title     = {Double Clustering as an Unsupervised Approach for Order Picking of Distributed Warehouses},
	  author    = {Hsin-Yi Huang and  Ming-Sheng Liu and  Jiun-Yan Shiau},
	  country	= {},
	  institution	= {},
	  abstract     = {Planning the order picking lists for warehouses to achieve some operational performances is a significant challenge when the costs associated with logistics are relatively high, and it is especially important in e-commerce era. Nowadays, many order planning techniques employ supervised machine learning algorithms. However, to define features for supervised machine learning algorithms is not a simple task. Against this background, we consider whether unsupervised algorithms can enhance the planning of order-picking lists. A double zone picking approach, which is based on using clustering algorithms twice, is developed. A simplified example is given to demonstrate the merit of our approach.},
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {15},
	  number    = {9},
	  year      = {2021},
	  pages     = {395 - 399},
	  ee        = {https://publications.waset.org/pdf/10012251},
	  url   	= {https://publications.waset.org/vol/177},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 177, 2021},
	}