Fuzzy Inventory Grinding Production Process Optimization for Rotor Manufacturing Using Python and MATLAB

A single-item inventory model for deteriorating items under fuzzy sense is formulated and solved. In this paper, a methodology for identifying process inventory variables that significantly affect process resource consumption is proposed. Since human processes in the operation and an inadequate time management system, measuring grinding time is challenging and inconsistent. This framework takes into account the challenges and unavailability of measuring these data. This paper’s goal is to reduce the overall cost of developing the new process and consume time. We defuzzified the model using Trapezoidal Fuzzy Numbers (TFN) & Graded Mean Integration (GMI). The Lagrangian Method and the Fuzzy Inventory model with the help of Python (Histogram) and MATLAB (Mesh grid) are used to maximize profit.