Author(s): Dipali V Mane and Hemant P Umap

Abstract: This article aims to optimize the transportation cost of strawberries from multiple sources to various destinations. A transportation model is developed, incorporating a multi-choice cost parameter to address the complexity of real-world logistics. Due to market uncertainties, both demand and supply are treated as random variables. The model considers multiple objectives, including minimizing transportation cost, transit time, and deterioration costs, to support effective decision-making. The Newton divided difference method is employed to handle the multi-choice cost parameter, while the Rayleigh random variable transformation is used to model demand and supply uncertainties. A weighted goal programming approach is applied to determine the optimal shipment quantities. The proposed methodology is demonstrated through a numerical example, showcasing its practical applicability.

Pages: 100-106 | Views: 91 | Downloads: 15

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