Study on Optimizing the Queuing Theory Based on Car Diagnosis

Chuan Long Zhang; Jian Lin Mao; Li Xia Fu; Feng Hong Xiang

doi:10.4028/www.scientific.net/AMR.1078.177

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1078Study on Optimizing the Queuing Theory Based on...

Study on Optimizing the Queuing Theory Based on Car Diagnosis

Abstract:

The queuing problem of car condition diagnosis is belonged to a kind of queue theory. For solving the unreasonable issue of service window configuration while the customer flow is changing with time goes on. Author proposes the dynamic service window configuration algorithm (DSWCA) based on the varying customer flow. Making full use of service windows based on the classification of customer and some reserved windows. The simulation result shows that this algorithm can increase service time and effective throughout, besides the system cost is decreased as well.

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Periodical:

Advanced Materials Research (Volume 1078)

Pages:

177-182

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1078.177

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Online since:

December 2014

Authors:

Chuan Long Zhang, Jian Lin Mao*, Li Xia Fu, Feng Hong Xiang

Keywords:

Car Diagnosis, DSWCA, MATLAB, Queuing Theory, Service Window

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* - Corresponding Author

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