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International Journal of Statistika and Mathematika, ISSN: 2277- 2790 E-ISSN: 2249-8605

Volume 6, Issue 1, May 2013 pp 14-17

Research Article

Comparative study of Multi-objective Unbalanced Transportation Problems with and without Budgetary Constraints

 

Fegade M. R.1, Jadhav V.A.2, Doke D. M.3, Irpenwar B. M.4

{1Research Scholar, 2Head} Dept. of Statistics, Comp. Sci. and IT, N.E.S. Science College, Nanded, Maharashtra, INDIA.

3Head, Department of Mathematics and Statistics, M. L. Dahanukar College, Vile Parle (East), Mumbai, Maharashtra, INDIA.

4Head, Department of Statistics, Vivekanand College, Kolhapur, Maharashtra, INDIA.


Academic Editor: Dr. Dase R.K.

 

Linked References
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    2. N.Kishore and Anurag Jayswal, Prioritized goal programming formulation of an unbalanced transportation problem with budgetary constraints: A fuzzy approach, Opsearch, 39 (2002) 151-160.
    3. P. Pandian and G. Natarajan, A new method for finding an optimal solution for transportation problems, International J. of Math. Sci. and Engg. Appls., 4 (2010) 59-65.
    4. Peerayuth Charnsethikul and Saeree Sverasreni, The constrained bottleneck transportation problem, Journal of Mathematics and Statistics, 3, (2007) 24-27.
    5. Samiran Senapati and Tapan Kumar Samanta, 2012, Optimal distribution of commodities under Budgetary restriction: a fuzzy approach, International Journal of Advanced Engineering Research and Studies, 1, (2012) 208-211.
    6. Saroj Khanna, H.C.Bakhshi and M.C.Puri, Maximizing transportation flow under budgetary constraints, NZOR, 11 (1983) 41-50.
    7. R.N. Tiwari, S.Dharmar and J. R. Rao, Priority structure in fuzzy Goal Programming, Fuzzy Sets and Systems, 19 (1986) 251-259.
    8. Yi-Kuei Lin and Cheng-Ta Yeh, Maximizing network reliability for stochastic transportation networks under a budget constraint by using a genetic algorithm, International Journal of Innovative Computing, Information and Control, 7 (2011) 7033- 7050.
 
 
 
 
 
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