Application of fuzzy random-based multi-objective linear fractional programming to inventory management problem

This research article aims to study a multi-objective linear fractional programming (FMOLFP) problem having fuzzy random coefficients as well pseudorandom decision variables. Initially, the FMOLFP model is converted single objective (FLP) model. Secondly, we show that optimal solution of an FLP resolved into class relative (LP) As result, some theorems LP combined with series solutions problems. application, developed approach implemented inventory management by taking parameters trapezoidal numbers, ultimately resulting in new initiative for modelling real-world problems optimization. In last, numerical examples are introduced clarify obtained results and their applicability.