A Carbon-Conscious Fuzzy EOQ Model with Trade Credit Financing

Abstract

Currently, global warming is the most challenging situation for all countries, and it is a byproduct of greenhouse gases. Because of this, researchers from various fields are working on different projects to evolve green practices that can control emissions, ultimately reducing the harmful impact 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 the optimum investments towards green technology to control the GHG effect due to the transportation of goods. The optimum total cost, along with the algorithms for the solution process, is suggested for crisp and intuitionistic fuzzy models. Appropriate numerical examples are suggested to verify optimal conditions meant for total cost, and the results are validated through suitable result analysis that contributes to minimizing the average total cost under different pricing and ordering policies.