Abstract
This paper analyzes the multi-choice stochastic transportation problem where the cost coefficients of the objective function and the demand parameters of the constraints follow multi-choice parameters. Assume that the supply parameters of the constraints in a transportation problem (TP) follow logistic distribution. The main objective of this paper is to select an appropriate choice from the multi-choices for the cost coefficients of the objective function and the demand of the constraints in the TP by introducing Lagrange’s interpolating polynomial in such a way that the total cost is minimized and satisfies the required demand. Using stochastic programming, the stochastic supply constraints of the TP are transformed into deterministic constraints. Finally, a non-linear deterministic model is formulated. Using Lingo software, the optimal solution of the proposed problem is derived. To illustrate the methodology, a real-life problem on the TP is considered.
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References
Hitchcock, F.L.: The distribution of a product from several sources to numerous localities. J. Math. Phys. 20, 224–230 (1941)
Tao, Z., Xu, J.: A class of rough multiple objective programming and its application to solid transportation problem. Inform. Sci. 188, 215–235 (2012)
Kantorovich, L.V.: Mathematical methods of organizing and planning production. Manag. Sci. 6, 336–422 (1960)
Mahapatra, D.R., Roy, S.K., Biswal, M.P.: Multi-choice stochastic transportation problem involving extreme value distribution. Appl. Math. Model. 37, 2230–2240 (2013)
Healy, W.C.: Multiple choice programming: (a procedure for linear programming with zero-one variables). Oper. Res. 12(1), 122–138 (1964)
Chang, C.T.: Multi-choice goal programming OMEGA. Int. J. Manag. Sci. 35, 389–396 (2007)
Chang, C.T.: Revised multi-choice goal programming. Appl. Math. Model. 32, 2587–2595 (2008)
Biswal, M.P., Acharya, S.: Solving multi-choice linear programming problems by interpolating polynomials. Math. Comput. Model. 54, 1405–1412 (2011)
Roy, S.K., Mahapatra, D.R., Biswal, M.P.: Multi-choice stochastic transportation problem with exponential distribution. J. Uncertain. Syst. 6(3), 200–213 (2013)
Maity, G., Roy, S.K.: Solving multi-choice multi-objective transportation problem: a utility function approach. J. Uncertain. Anal. Appl. 2(1), 1 (2014)
Scarborough, J.B.: Numerical Mathematical Analysis. John Hopkins University Press, Baltimore (1950)
Birge, J.R., Louveaux, F.: Introduction to Stochastic Programming, 2nd edn. Springer, New York (2011)
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The author is very much thankful to the referee for his valuable comments to revise the paper.
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Roy, S.K. Transportation Problem with Multi-choice Cost and Demand and Stochastic Supply. J. Oper. Res. Soc. China 4, 193–204 (2016). https://doi.org/10.1007/s40305-016-0125-3
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DOI: https://doi.org/10.1007/s40305-016-0125-3
Keywords
- Transportation problem
- Multi-choice programming
- Lagrange’s interpolating polynomial
- Stochastic programming