Username   Password       Forgot your password?  Forgot your username? 

Optimal Allocation of Mould Manufacturing Resources Under Manufacturing Network Environments based on a Bi-Level Programming Model

Volume 13, Number 7, November 2017 - Paper 18  - pp. 1147-1158
DOI: 10.23940/ijpe.17.07.p18.11471158

Hongyan Haoa,b,*, Fanxin Konga,b

aJiangsu Key Laboratory of Advanced Structural Materials and Application Technology, Nanjing, 211167, China
bSchool of Material Engineering, Nanjing Institute of Technology, Nanjing, 211167,China

(Submitted on August 29, 2017; Revised on September 30, 2017; Accepted on October 18, 2017)


In order to achieve the optimal selection and allocation of various mould manufacturing resources under a manufacturing network environment, this study developed a bi-level programming model and proposed a related solution. Based on a thorough analysis of the allocation process of mould manufacturing resources, the calculation formulas of the task’s satisfaction with resource service quality and the load balance rate of resources were derived, and a bi-level programming mathematical model for the optimal allocation of mould manufacturing resources was established. Moreover, a hierarchical discrete particle swarm optimization (HDPSO) algorithm, which was based on the principle of non-dominated sorting in a multi-objective optimization, was designed for solving the model. Finally, a mould manufacturing project was selected for experimentally validating the feasibility of the proposed bi-level programming model for the optimal allocation of resources and the effectiveness of the proposed HDPSO algorithm.


References: 20

        1. J. Z. Fu, Y. L. Zhang, “Study on the optimal disposition method of resources geared to the needs of manufacturing grid,” Journal of Machine Design, vol. 23, no. 10, pp. 40-43, 2006
        2. J. Z. Fu, Y. L. Zhang, “Resource select ion and optimisation in manufacturing grid based on genetic algorithm,” Journal of Chinese Computer Systems, vol. 28, no. 4, pp. 674-677, 2007
        3. J. Z. Fu, “A practical resource-searching method for manufacturing grid,” The International Journal of Advanced Manufacturing Technology, vol. 74, pp. 335-340, 2014
        4. J. Z. Fu, J. D. Liu, “Research on interval transformation of resource in manufacturing grid and multi-objective optimization selection method,” Journal of Nanjing University of Information Science and Technology (Natural Science Edition), vol. 5, no. 2, pp. 154-158, 2013
        5. J. Z. Fu, “An efficient resource-searching method in manufacturing grid,” The International Journal of Advanced Manufacturing Technology, vol. 66, pp. 401-405, 2013
        6. W. Han, X. Q. Zhang, “A multisatellite task planning algorithm based on discrete particle swarm,” Radio Engineering, vol. 45, no. 1, pp. 1-5, 2015
        7. L. L. Liu, T. Yu, and Z. B. Shi, “Research on QoS -based resource scheduling in manufacturing grid,” Computer Integrated Manufacturing Systems, vol. 11, no. 4, pp. 475-480, 2005
        8. L. L. Liu, Z. S. Shu, “Resource allocation and network evolution considering economics and robustness in manufacturing grid,” The International Journal of Advanced Manufacturing Technology, vol. 57, pp. 393-410, 2011
        9. L. J. Li, Z. B. Huang, and F. Liu, “A heuristic particle swarm optimization method for truss structures with discrute variables,” Computers and Structures, vol. 87, pp. 435-443, 2009
        10. C. B. Li, F. M. Zhang, “Bi-level programming location strategy of logistics distribution center based on hierarchical particle swarm algorithm, ” Journal of Lanzhou University of Technology, vol. 39, no. 4, pp. 105-109, 2013
        11. X. F. Ma, X. D. Dai, and S. D. Sun, “Optimization deployment of networked manufacturing resources,” Computer Integrated Manufacturing Systems, vol. 10, no. 5, pp. 523-527, 2004
        12. Q.K. Pan, M. Fatih Tasgetiren, and Y. C. Liang, “A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem,” Computers and operations research, vol. 35, no. 9, pp. 2807-2839, 2008
        13. S. Q. Song, C. M. Ye, “Research on the manufacturing grid resource scheduling problem based on quantum particle swarm algorithm,” Manufacturing Automation, vol. 30, no. 10, pp. 40-43, 2008
        14. Z. B. Shi, L. L. Liu, “Manufacturing grid and its resource configuration algorithm,” Computer Engineering, vol. 30, no. 5, pp. 117-119, 2004
        15. F. Tao, L. Zhang, and K. Lu, “Research on manufacturing grid resource service optimal-selection and composition framework,” Enterprise Information Systems, vol. 6, no. 2, pp. 237-264, 2012
        16. F. Tao, Y. f. Hu, and D. M. Zhao, “Study on resource service match and search in manufacturing grid system,” The International Journal of Advanced Manufacturing Technology, vol. 43, pp.379-399,2009
        17. F. Tao, Y. F. Hu, D. M. Zhao, Z. D. Zhou, H. J. Zhang, and Z. Z. Lei, “Study on manufacturing grid resource service QoS modeling and evaluation,” The International Journal of Advanced Manufacturing Technology, vol. 41, pp. 1034-1042, 2009
        18. C. C. Zhou, G. F. Yin, and Y. C. Wu, “Study on the tactics of manufacturing resource optimal allocation oriented to manufacturing grid,” Journal of Sichuan University (Engineering Science Edition) , vol. 41, no. 2, pp. 237-244, 2009
        19. X. B. Zhang, Y.Y. Ni, “An interval programming model of manufacture resources optimal allocation in grid,” Mathematics in Practice and Theory, vol. 42, no. 6, pp. 18-24, 2012
        20. Z. G. Zhao, W. Q. Wang, and S.Y. Huang, “Bi-level programming problem based on improved particle swarm algorithm,” Computer Science, vol. 40, no. 11A, pp. 115-119, 2013


              Click here to download the paper.

              Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

              This site uses encryption for transmitting your passwords.