The Classification Research about the Uncertain Factors of Job Shop Manufacturing Shop Re-Scheduling

Mao Gen Ge; Ming Zhou Liu; Ming Xin Zhang; Jing Hu; Wen Rui Wu; Llin Ling

doi:10.4028/www.scientific.net/AMR.621.344

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 621The Classification Research about the Uncertain...

The Classification Research about the Uncertain Factors of Job Shop Manufacturing Shop Re-Scheduling

Abstract:

In order to have an effective induction and treatment about the various uncertain factors in the process of Job Shop manufacturing shop re- scheduling under the uncertain environment, Through the description of all kinds of uncertainties and disturbances during the workshop production process, here put forward a way to divide these uncertain factors into different types, such as type A uncertain factors which can cause scheduling scheme invalid, type B uncertain factors which have an uncertain impact on scheduling scheme and type C uncertain factors which may lead the schedule partial failure.

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Periodical:

Advanced Materials Research (Volume 621)

Pages:

344-347

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.621.344

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Online since:

December 2012

Authors:

Mao Gen Ge, Ming Zhou Liu, Ming Xin Zhang, Jing Hu, Wen Rui Wu, Llin Ling

Keywords:

Job Shop, Re-Scheduling, Uncertain Factors

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References

[1] Gu xinsheng. Production Scheduling under Uncertainty [J]. Journal of East China University of Science and Technology, 2000, 26(5): 441 -446.

Google Scholar

[2] Yao xifan, Zhang yi, Dong shaoqiang. Measurement of Uncertain Information and Its Application in Manufacturing Examples [J]. Computer Integrated Manufacturing Systems, 2004, 10(11): 1466-1470.

Google Scholar

[3] G. Faiez, H. Nahla. An Integrated Modeling Approach for Complex Application and Distributed Information Systems [J]. International Journal of Production Economics, 2000, 64: 331-344.

Google Scholar

[4] ]Ding ran, Li qiqiang, Guo qingqiang etc. Three Stages of Production Scheduling under Uncertainty-making Method[J]. Control Theory and Applications , 2008: 25(6): 1158-1166.

Google Scholar

[5] CHANG Y C, LEE C Y. Logistics scheduling: Analysis of two-stage problems [J]. Journal of Systems Science and Systems Engineering, 2003, 12(4): 385-407.

DOI: 10.1007/s11518-006-0143-5

Google Scholar

[6] H J Zimmermann. An application-oriented view of modeling uncertainty [J]. European Journal of Operational Research. 2000, 122(2): 190- 198.

DOI: 10.1016/s0377-2217(99)00228-3

Google Scholar

[7] Shi guoxin. Research and Quantitative Evaluation of Uncertainties in Production Scheduling[D]. Wuhan: Mechanical and Electrical Engineering of Wuhan University of Technology, (2007).

Google Scholar