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A compaction scheme and generator for distribution networks
1.  Department of Industrial and Information Management, National Cheng Kung University, Tainan, 701, Taiwan 
References:
[1] 
R. K. Ahuja, T. Magnanti and J. Orlin, Network Flows: Theory, Algorithms and Applications,, Prentice Hall, (1993). Google Scholar 
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R. J. Anderson and J. C. Setubal, Goldberg's algorithm for maximum flow in perspective: A computatioinal study,, in Network flows and matching: First DIMACS implementation challenge (eds. D. S. Johnson and C. McGeoch), (1993), 1. Google Scholar 
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U. Bahceci and O. Feyzioglu, A network simplex based algorithm for the minimum cost proportional flow problem with disconnected subnetworks,, Optimization Letters, 6 (2012), 1173. doi: 10.1007/s1159001103565. Google Scholar 
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M. D. Chang, C. H. J. Chen and M. Engquist, An improved primal simplex variant for pure processing networks,, ACM Transactions on Mathematical Software, 15 (1989), 64. doi: 10.1145/62038.62041. Google Scholar 
[5] 
C. H. J. Chen and M. Engquist, A primal simplex approach to pure processing networks,, Management Science, 32 (1986), 1582. doi: 10.1287/mnsc.32.12.1582. Google Scholar 
[6] 
B. V. Cherkassky and A. V. Goldberg, On implementing pushrelabel method for the maximum flow problem,, Algorithmica, 19 (1997), 390. doi: 10.1007/PL00009180. Google Scholar 
[7] 
B. T. Denton, J. Forrest and R. J. Milne, Ibm solves a mixedinteger program to optimize its semiconductor supplychain,, Interfaces, 36 (2006), 386. Google Scholar 
[8] 
S. C. Fang and L. Qi, Manufacturing network flows: A generalized network flow model for manufacturingprocess modeling,, Optimization Methods and Software, 18 (2003), 143. doi: 10.1080/1055678031000152079. Google Scholar 
[9] 
D. Goldfarb and M. D. Grigoriadis, A computational comparison of the dinic and network simplex methods formaximum flow,, Annals of Operations Research, 13 (1988), 83. doi: 10.1007/BF02288321. Google Scholar 
[10] 
D. Klingman, A. Napier and J. Stutz, Netgen: A program for generating large scale capacitated assignment, transportation and minimum cost flow networks,, Management Science, 20 (1974), 814. Google Scholar 
[11] 
J. Koene, Minimal Cost Flow in Processing Networks, a Primal Approach,, PhD thesis, (1983). Google Scholar 
[12] 
L.C. Kung and C.C. Chern, Heuristic factory planning algorithm for advanced planning and scheduling,, Computers and Operations Research, 36 (2009), 2513. doi: 10.1016/j.cor.2008.09.013. Google Scholar 
[13] 
Y.K. Lin, C.T. Yeh and C.F. Huang, Reliability evaluation of a stochasticflow distribution network with delivery spoilage,, Computers and Industrial Engineering, 66 (2013), 352. doi: 10.1016/j.cie.2013.06.019. Google Scholar 
[14] 
H. Lu, E. Yao and L. Qi, Some further results on minimum distribution cost flow problems,, Journal of Combinatorial Optimization, 11 (2006), 351. Google Scholar 
[15] 
P. Lyon, R. J. Milne, R. Orzell and R. Rice, Matching assets with demand in supplychain management at ibm microelectronics,, Interfaces, 31 (2001), 108. doi: 10.1287/inte.31.1.108.9693. Google Scholar 
[16] 
R. L. Sheu, M. J. Ting and I. L. Wang, Maximum flow problem in the distribution network,, Journal of Industrial and Management Optimization, 2 (2006), 237. doi: 10.3934/jimo.2006.2.237. Google Scholar 
[17] 
J. Shu, M. Chou, Q. Liu, C.P. Teo and I.L. Wang, Models for effective deployment and redistribution of bicycles within public bicyclesharing systems,, Operations, 61 (2013), 1346. doi: 10.1287/opre.2013.1215. Google Scholar 
[18] 
I. L. Wang and S. J. Lin, A network simplex algorithm for solving the minimum distribution cost problem,, Journal of Industrial and Management Optimization, 5 (2009), 929. doi: 10.3934/jimo.2009.5.929. Google Scholar 
[19] 
I. L. Wang and Y. H. Yang, On solving the uncapacitated minimum cost flow problems in a distribution network,, International Journal of Reliability and Quality Performance, 1 (2009), 53. Google Scholar 
show all references
References:
[1] 
R. K. Ahuja, T. Magnanti and J. Orlin, Network Flows: Theory, Algorithms and Applications,, Prentice Hall, (1993). Google Scholar 
[2] 
R. J. Anderson and J. C. Setubal, Goldberg's algorithm for maximum flow in perspective: A computatioinal study,, in Network flows and matching: First DIMACS implementation challenge (eds. D. S. Johnson and C. McGeoch), (1993), 1. Google Scholar 
[3] 
U. Bahceci and O. Feyzioglu, A network simplex based algorithm for the minimum cost proportional flow problem with disconnected subnetworks,, Optimization Letters, 6 (2012), 1173. doi: 10.1007/s1159001103565. Google Scholar 
[4] 
M. D. Chang, C. H. J. Chen and M. Engquist, An improved primal simplex variant for pure processing networks,, ACM Transactions on Mathematical Software, 15 (1989), 64. doi: 10.1145/62038.62041. Google Scholar 
[5] 
C. H. J. Chen and M. Engquist, A primal simplex approach to pure processing networks,, Management Science, 32 (1986), 1582. doi: 10.1287/mnsc.32.12.1582. Google Scholar 
[6] 
B. V. Cherkassky and A. V. Goldberg, On implementing pushrelabel method for the maximum flow problem,, Algorithmica, 19 (1997), 390. doi: 10.1007/PL00009180. Google Scholar 
[7] 
B. T. Denton, J. Forrest and R. J. Milne, Ibm solves a mixedinteger program to optimize its semiconductor supplychain,, Interfaces, 36 (2006), 386. Google Scholar 
[8] 
S. C. Fang and L. Qi, Manufacturing network flows: A generalized network flow model for manufacturingprocess modeling,, Optimization Methods and Software, 18 (2003), 143. doi: 10.1080/1055678031000152079. Google Scholar 
[9] 
D. Goldfarb and M. D. Grigoriadis, A computational comparison of the dinic and network simplex methods formaximum flow,, Annals of Operations Research, 13 (1988), 83. doi: 10.1007/BF02288321. Google Scholar 
[10] 
D. Klingman, A. Napier and J. Stutz, Netgen: A program for generating large scale capacitated assignment, transportation and minimum cost flow networks,, Management Science, 20 (1974), 814. Google Scholar 
[11] 
J. Koene, Minimal Cost Flow in Processing Networks, a Primal Approach,, PhD thesis, (1983). Google Scholar 
[12] 
L.C. Kung and C.C. Chern, Heuristic factory planning algorithm for advanced planning and scheduling,, Computers and Operations Research, 36 (2009), 2513. doi: 10.1016/j.cor.2008.09.013. Google Scholar 
[13] 
Y.K. Lin, C.T. Yeh and C.F. Huang, Reliability evaluation of a stochasticflow distribution network with delivery spoilage,, Computers and Industrial Engineering, 66 (2013), 352. doi: 10.1016/j.cie.2013.06.019. Google Scholar 
[14] 
H. Lu, E. Yao and L. Qi, Some further results on minimum distribution cost flow problems,, Journal of Combinatorial Optimization, 11 (2006), 351. Google Scholar 
[15] 
P. Lyon, R. J. Milne, R. Orzell and R. Rice, Matching assets with demand in supplychain management at ibm microelectronics,, Interfaces, 31 (2001), 108. doi: 10.1287/inte.31.1.108.9693. Google Scholar 
[16] 
R. L. Sheu, M. J. Ting and I. L. Wang, Maximum flow problem in the distribution network,, Journal of Industrial and Management Optimization, 2 (2006), 237. doi: 10.3934/jimo.2006.2.237. Google Scholar 
[17] 
J. Shu, M. Chou, Q. Liu, C.P. Teo and I.L. Wang, Models for effective deployment and redistribution of bicycles within public bicyclesharing systems,, Operations, 61 (2013), 1346. doi: 10.1287/opre.2013.1215. Google Scholar 
[18] 
I. L. Wang and S. J. Lin, A network simplex algorithm for solving the minimum distribution cost problem,, Journal of Industrial and Management Optimization, 5 (2009), 929. doi: 10.3934/jimo.2009.5.929. Google Scholar 
[19] 
I. L. Wang and Y. H. Yang, On solving the uncapacitated minimum cost flow problems in a distribution network,, International Journal of Reliability and Quality Performance, 1 (2009), 53. Google Scholar 
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