Multi-item inventory model using hexagonal fuzzy number

This paper explores a fuzzy multi-item inventory model with alternative power supply costs. The cost parameters and the constraint are represented by a hexagonal fuzzy numbers. This model is worked out through fuzzy non − linear programming technique. The optimal lot size and backlog quantity are determined. A numerical example with sensitivity analysis are given to illustrate the model.