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

doi:10.23940/ijpe.17.07.p18.11471158

Abstract

Abstract: 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.

Submitted on August 29, 2017; Revised on September 30, 2017; Accepted on October 18, 2017
References: 20

Hongyan Hao and Fanxin Kong. Optimal Allocation of Mould Manufacturing Resources Under Manufacturing Network Environments based on a Bi-Level Programming Model [J]. Int J Performability Eng, 2017, 13(7): 1147-1158.

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	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
	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
	J. Z. Fu, “A practical resource-searching method for manufacturing grid,” The International Journal of Advanced Manufacturing Technology, vol. 74, pp. 335-340, 2014
	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
	J. Z. Fu, “An efficient resource-searching method in manufacturing grid,” The International Journal of Advanced Manufacturing Technology, vol. 66, pp. 401-405, 2013
	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
	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
	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
	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
	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
	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
	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
	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
	Z. B. Shi, L. L. Liu, “Manufacturing grid and its resource configuration algorithm,” Computer Engineering, vol. 30, no. 5, pp. 117-119, 2004
	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
	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
	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
	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
	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
	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