A sustainable supply chain model with trade credit policy for greening items incorporating learning in fuzzy environment

In this paper, we deal with a green sustainable supply chain model with a trade credit policy for eco-friendly products incorporating learning in fuzzy theory, where the demand is treated as fuzzy demand and the lower and upper bounds of fuzzy demand follow the effect of the learning curve. Nowadays, the environmental issues are increasing due to global warming and affect the ordering policies of materials during supply chain. The carbon emissions are more responsible for the global warming of the environment because a lot of harmful gases are created during the production, manufacturing, and transportation of the raw material and partially manufactured items before sale and departure from the manufacturing product. Therefore, the governments of countries include some carbon emission costs to control carbon emissions. The eco-friendly items are those that preserve the environment and are beneficial for human life. Sometimes the rate of demand varies from high to lower and lower to high, and then the seller cannot calculate the expected order quantity and minimum fuzzy inventory cost for the supply chain management system. The fuzziness of demand rate can be nullified by using fuzzy environment theory, and the inventory cost can be minimized with the help of the learning concept. The trade credit policy is one type of promotional tool for selling items. When the manufacturer plans a big business for the supply of eco-friendly items or any items and tries to attract new buyers for the sale of items, the manufacturer offers the scheme of trade credit to the new purchaser for more sales and to generate more revenue during the supply chain. In this order, we minimized the total fuzzy cost with respect to the lot size under the trade credit policy for the supply chain system. A numerical example has been presented for the justification of the proposed model, and sensitivity analysis is shown about the impact of inventory input on the total fuzzy profit.