A two-vehicle two-stage solid transportation problem with bi-fuzzy coefficients through genetic algorithm

Dipak Barman, Anjana Kuiri and Barun Das

International Journal of Mathematics in Operational Research, 2021, vol. 18, issue 4, 444-464

Abstract: This study deals a two-stage solid transportation problem where on in each stage and each path there are two different capacitated vehicles. As per the quantity of transportation, the larger and/or smaller capacitance vehicles are used. Moreover, the coefficients of the model are assumed bi-fuzzy in nature. The items are breakable in nature and to reduce the breakability rate of the item extra safety cost is introduced here. Finally, the model is justified through a numerical example by using evolutionary genetic algorithm. Also a statistical test illustrates and signifies the feasibility and validity of the proposed model and techniques with a high rate of probability.

Keywords: two-stage solid transportation problem; vehicle's capacity; bi-fuzzy; genetic algorithm; analysis of variance. (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmore:v:18:y:2021:i:4:p:444-464

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