The Use of Ant Colony Model in the Staff Deployment Problem

Article Preview

Abstract:

For the complex features of many varieties, varying quantities of inserting production, we use such a complex system as Swarm intelligence to study the process of the production line of SMEs setting up and human resources scheduling. Based on the analysis of the operating characteristics of production cell and their comparison labor division model of the ant colony, it re-designs the workers’ features and the deployment of staff between the Production cells and finally, realizes an adaptive division of labor model by the control of computer, depending on the production task requirements and each production cell load. The experiments show that the digital simulation results can match the real cases well.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 317-319)

Pages:

1501-1506

Citation:

Online since:

August 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zhibin Jiang, Zongwu Hu. The new model of manufacturing systems[J]. Industrial Engineering and Management.2002, No.2:1-7;(In Chinese)

Google Scholar

[2] Hanmin Shi. From his organization go towards the organization—about manufacturing philosophy of meditation [J]. Chinese Mechanical Engineering. 2000.2,vol.11,No.122:80—85; (In Chinese)

Google Scholar

[3] Bo-peng Zhang, Dengwen Yu. The evolution of manufacturing engineering[J].Chinese Mechanical Engineering, 2008.1,vol.19,No.2:178-182; (In Chinese)

Google Scholar

[4] ChengMing, Jianyong Li, Jianzhong Cha, Yuefa Fang. Intelligent Manufacturing Systems Self-Organization cell structure research[J]. Journal of Northern Jiaotong University, Aug.2000,Vol.24,No.4:47-51(In Chinese)

Google Scholar

[5] Frei,R.; Di Marzo Serugendo, G.; Barata, J. Designing self-organization for evolvable assembly systems[C], Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), 2008, 97-106.

DOI: 10.1109/saso.2008.20

Google Scholar

[6] Frei,Regina; Barata, Jose;Onori, Mauro Evolvable production systems context and implications[J], 2007 IEEE International Symposium on Industrial Electronics, ISIE 2007, Proceedings, 2007, 3233-3238

DOI: 10.1109/isie.2007.4375132

Google Scholar

[7] Shin, M. Cha, Y.; Ryu, K.; Jung, M. Conflict detection and resolution for goal formation in the fractal manufacturing system[J], International Journal of Production Research, v 44, n 3, Feb 1, 2006, 447-465.

DOI: 10.1080/00207540500142845

Google Scholar

[8] Xiao-hua Zhang; Wei Chen; Yan-mingSun; Shi-xiong Zheng. The overview of fractal theory and its application in manufacturing system[J]. Manufacturing Automation. vol 29, 2009,No.3:pp.4-9. (In Chinese)

Google Scholar

[9] Quanxi Li; Xiaomiao Ma, Infiltration mechanism and strategies of TPS culture based on self-organization theory[C], MANUFACTURING AUTOMATION, 2008, 4. (In Chinese)

Google Scholar

[10] Guotao Ji, Qingshan Zhang. About enterprise organization and environmental adaptive thinking[J]. SCIENCE AND TECHNOLOGY MANAGEMENT RESEARCH,1999,4:8-10; (In Chinese)

Google Scholar