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General Information
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2014 Vol. 4(5): 463-467 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V4.455

Performance Analysis of Non-Homogeneous Hybrid Production Lines

Jun Liu, Junping Kong, and Qinying Fan
Abstract—For analyzing performance of non-homogeneous hybrid lines, a new technique of dealing with nonhomogeneous lines is proposed to transform a non-homogeneous production line into a homogeneous line, which is based on decomposition method. The technique extends the applicability of decomposition method to nonhomogeneous lines. The technique is discussed by numerical experiments comparing with aggregation method, what’s more, the advantages and disadvantages are specified. The technique complements and develops the system analysis techniques of hybrid production lines.

Index Terms—Hybrid system, system performance, Non-homogeneousness, decomposition method.

The authors are with Lanzhou University of Technology, 730050, Lanzhou, China (e-mail: lzhjliu@126.com, kongjunping425@163.com, 958174577@qq.com).

[PDF]

Cite: Jun Liu, Junping Kong, and Qinying Fan, "Performance Analysis of Non-Homogeneous Hybrid Production Lines," International Journal of Machine Learning and Computing vol. 4, no. 5, pp. 463-467, 2014.

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