A Model for Container Inventory with a Trapezoidal Bipolar Neutrosophic Number

The paper aims to present a container inventory model by utilizing strategies to avoid the scarcity of reusable containers. The Container Management Organization (CMO) seeks to provide the reusable empty container to the consignees without scarcity under minimum cost. However, due to the imbalanced flow of the containers, the CMO faces shortages of containers which are considered as a significant issue. In this paper, we present an algorithm for predicting the expected costs of a system under various conditions. The uncertainties which are presented in the different parameters of the model are handled with the help of the trapezoidal bipolar neutrosophic numbers. The characteristics of the bipolar neutrosophic set are to describe the uncertain information in two parts-the negative and the positive. Finally, using the expected value of the trapezoidal number, a neutrosophic container inventory model is framed to reduce the system's total cost and hence obtain the optimal duration of the inspection process, the optimal ECR duration, and the optimal duration of the leasing process. Numerical computation and sensitivity analysis are provided to flourish the proposed model more effectively.