Merging Algorithm for Multi-Varieties and Small-Batch Orders in Iron and Steel Enterprise

Guang Jing Dong; Li Li; Xiu Ting Wu; Jun Su

doi:10.4028/www.scientific.net/AMR.945-949.3092

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 945-949Merging Algorithm for Multi-Varieties and...

Merging Algorithm for Multi-Varieties and Small-Batch Orders in Iron and Steel Enterprise

Abstract:

Problem of merging multi-attribute, small-batch orders is studied in this paper. A merge algorithm based on clustering is proposed to solve the problem. We mainly use the method of principal component analysis and K-means clustering technology in the algorithm and then merge the orders with similar attributes into production bathes. Finally we verify the algorithm through actual order data and the results show that the algorithm can merge the customer orders efficiently. The algorithm has a great guiding significance.

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Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

3092-3096

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.3092

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Online since:

June 2014

Authors:

Guang Jing Dong*, Li Li, Xiu Ting Wu, Jun Su

Keywords:

Clustering Algorithm, Multi-Varieties, Principal Component Analysis (PCA), Small-Batch

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