Sustainable Supply Chain Model for Defective Growing Items (Fishery) with Trade Credit Policy and Fuzzy Learning Effect

Fundamentally, newborn items that are used commercially, such as chicken, fish, and small camel, grow day by in size also increase their weight. The seller offers a credit policy to the buyer sales for particular growing item (fish), this paper, it is assumed accepts of trade credit. In acquires (fish) from then sells them when have increased From point view, present paper reveals fuzzy-based supply chain model includes carbon emissions permissible delay payment defective under effect learning where demand rate imprecise nature treated triangular fuzzy number. Finally, buyer’s total profit optimized with respect number items. A numerical example has been presented justification model. findings clearly suggest presence credit, learning, environment an affirmative on ordering policy. should order more avoid higher interest charges after grace period, which eventually increases profit, while at same time, beneficial less gain benefit period. fuzziness theory controls uncertainty situation inventory parameters help de-fuzzified method. lower upper deviation affects profit. gives positive response concerning This means decision-maker be aware items, period during because these directly affect impact parameter sensitivity analysis.