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

Author

Listed:
  • Dipak Barman
  • Anjana Kuiri
  • Barun Das

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.

Suggested Citation

  • Dipak Barman & Anjana Kuiri & Barun Das, 2021. "A two-vehicle two-stage solid transportation problem with bi-fuzzy coefficients through genetic algorithm," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 18(4), pages 444-464.
    • Handle: RePEc:ids:ijmore:v:18:y:2021:i:4:p:444-464
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