Mohammad Fallah*, Hamed Nozari
CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.2, pp. 927-951, 2021, DOI:10.32604/cmes.2021.017511
Abstract In this paper, a multi-objective sustainable biomass supply chain network under uncertainty is designed by neutrosophic programming method. In this method, for each objective function of the problem, three functions of
truth membership, non-determination and falsehood are considered. Neutrosophic programming method in this
paper simultaneously seeks to optimize the total costs of the supply chain network, the amount of greenhouse gas
emissions, the number of potential people hired and the time of product transfer along the supply chain network. To
achieve the stated objective functions, strategic decisions such as locating potential facilities and tactical decisions
such as optimal product flow… More >
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