Multi-choice stochastic transportation problem involving Weibull distribution

Sankar Kumar Roy

International Journal of Operational Research, 2014, vol. 21, issue 1, 38-58

Abstract: This paper presents a multi-choice stochastic transportation problem (TP) where the supply and demand parameters of the constraints follow Weibull distribution. The cost coefficients of the objective function associated with TP are multi-choice type. At first, all the stochastic constraints are transformed into deterministic constraints using stochastic programming approach. Multi-choice type cost coefficients are tractabled by introducing binary variables in the multi-choice programming. Secondly, the transformed problem is considered as a deterministic multi-choice transportation problem. Finally, a numerical example is presented to illustrate the methodology.

Keywords: multi-choice transport problem; stochastic programming; Weibull distribution; multi-choice programming; transformation technique. (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:21:y:2014:i:1:p:38-58

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