Sustainable Inventory Models with Trade Credit Option in Fuzzy Environment

Abstract

Currently, global warming is the most challenging issue for all countries, and it is a byproduct of greenhouse gas emissions. Because of this, researchers across various fields are developing green practices to control emissions, ultimately reducing harmful impacts on the climate. Again, the present study includes a cost for waste disposal purposes. Again, the research suggests sustainable two-warehouse deteriorating models under partial back-logging for both crisp and intuitionistic fuzzy conditions, where the models are formed for a time-dependent demand function with a single trade-credit option for the retailer. This study involves optimal investments in green technology to mitigate the GHG effect from the transportation of goods. The optimal total cost, along with algorithms for the solution process, is proposed for crisp and intuitionistic fuzzy models. Appropriate numerical examples are provided to verify optimal conditions for total cost, and the results are validated through suitable analysis that helps minimize the average total cost under different pricing and ordering policies.