[1]
McLean, C. R., et al.. The Virtual Manufacturing Cell. Paper presented at the In Proceedings of Fourth IFAC/IFIP Conference on Information Control Problems in Manufacturing Technology [C]. 1982:105-111.
Google Scholar
[2]
Khilwani N,Ulutas B H,Islier A,et al.A methodology to design virtual cellular manufacturing systems[J].Intelligent Manufacturing,2009,(1):1-12.
DOI: 10.1007/s10845-009-0314-6
Google Scholar
[3]
Richard Y. K. Fung & Feng Liang & Zhibin Jiang & T. N. Wong. A multi-stage methodology for virtual cell formation oriented agile manufacturing [J]. Int J Adv Manuf Technol 2008, (36):798-810.
DOI: 10.1007/s00170-006-0871-1
Google Scholar
[4]
Bai Junjie, Gong Yiguang,Wang Ningsheng et al..Methodology of virtual manufacturing cell formation in reconfigurable manufacturing system for system for make to order manufacturing [J].Computer Integrated Manufacturing Systems. 2009, 15(2):314-317.
Google Scholar
[5]
Tariq, A. et al. A hybrid genetic algorithm for machine-part grouping [J]. Computers & Industrial Engineering 2009, 56:347–356.
DOI: 10.1016/j.cie.2008.06.007
Google Scholar
[6]
Nitesh Khilwani et al. A methodology to design virtual cellular manufacturing systems [J]. Journal of Intelligent Manufacturing. 2011, 22:533–544.
DOI: 10.1007/s10845-009-0314-6
Google Scholar
[7]
Iraj Mahdavia. Multi-objective cell formation and production planning in dynamic virtual cellular manufacturing systems [J].International Journal of Production Research, 2011, 49(2): 6517–6537.
DOI: 10.1080/00207543.2010.524902
Google Scholar
[8]
Hassan Rezazadeh, Reza Mahini, Mahdi Zarei. Solving a dynamic virtual cell formation problem by linear programming embedded particle swarm optimization algorithm [J]. Applied Soft Computing, 2011 (11):3160–3169.
DOI: 10.1016/j.asoc.2010.12.018
Google Scholar
[9]
Gindy, N. N. Z., et al. Component grouping for cell formation using resource elements [J].International Journal of Production Research, 1996.34(3):727-752.
DOI: 10.1080/00207549608904931
Google Scholar
[10]
Adil Baykasog¯lu, Nabil N.Z. Gindy, Richard C. Cobb, Capability based formulation and solution of multiple objective cell formation problems using simulated annealing [J]. Integrated Manufacturing Systems, 2001, 12(4): 258 -274.
DOI: 10.1108/09576060110392560
Google Scholar
[11]
Baykasoglu, A.,& Dereli, T. Capability-based scattered layout approach for highly volatile manufacturing environments [C]. In IMS-2001, 3rd Int. Symposium on 1ntelligent Manufacturing Systems, Sakarya, and Turkey.2001:670-684.
Google Scholar
[12]
Baykasoglu, A. Capability-based distributed layout approach for virtual manufacturing cells [J]. International Journal of Production Research, 2003, 41(11), 2597-2618.
DOI: 10.1080/0020754031000087229
Google Scholar
[13]
Baykasoglu, A., & Göcken, M. Testing the performance of capability-based distributed layout using simulation [C]. In AMSE'06: 1nternational Conference on Modeling and Simulation, Konya, Turkey, 2006:983-987.
Google Scholar
[14]
Adil Baykasoglu, Mustafa Göçken. Capability-based distributed layout and its simulation based analyses [J]. Journal of Intelligent Manufacturing. 2010, 21(4):471-485.
DOI: 10.1007/s10845-008-0202-5
Google Scholar
[15]
Saad, S. M. et al. An integrated framework for reconfiguration of cellular manufacturing systems using virtual cells [J]. Production Planning & Control. 2002, 13(4):381-393.
DOI: 10.1080/09537280210130478
Google Scholar
[16]
M. Hamedi, N. Ismail, G. R. Esmaeilian and M. K. A. Ariffin. Virtual cellular manufacturing system based on resource element approach and analyzing its performance over different basic layouts [J]. International Journal of Industrial Engineering Computations. 2012, 3(2):265–276.
DOI: 10.5267/j.ijiec.2011.07.002
Google Scholar
[17]
Hamedi, M., et al. Capability-based virtual cellular manufacturing systems formation in dual-resource constrained settings using Tabu Search [J]. Computers and Industrial Engineering 2012, 62(4):953-971.
DOI: 10.1016/j.cie.2011.12.020
Google Scholar
[18]
Hamedi, M., et al. Developing Capability –Based Virtual Cellular Manufacturing Systems and Comparison with Capability –Based Classical Cellular Manufacturing Systems. Applied Mechanics and Materials.2012 (110-116):3938-3946.
DOI: 10.4028/www.scientific.net/amm.110-116.3938
Google Scholar
[19]
Xambre, A.R. et al. Virtual Manufacturing Cell Formation Problem (VMCFP) in a Distributed Layout [C]. the ICPR19-Nineteenth International Conference on Production Research, Valparaiso, Chile.2007.
Google Scholar
[20]
John M. et al. The evolution of cell formation problem methodologies based on recent studies (1997-2008): Review and directions for future research [J]. European Journal of Operational Research.2010, 206:509-521.
DOI: 10.1016/j.ejor.2009.10.020
Google Scholar