Applying Hessian Matrix Techniques to Obtain the Efficient Optimal Order Quantity Using Fuzzy Parameters

In the field of applied mathematics, optimization techniques formulate to maximizing and minimizing for an objective function. The purpose problems plays a vital role in inventory management. aim is minimize total cost, which comprises many fluctuating costs such as shortage, ordering, holding cost. this paper, defective items were under classification synchronous asynchronous rework strategy process. separating accumulating imperfect at time completion This study considered tried cost incurred. optimality non-linear programming was achieved by Hessian matrix, results minimization Furthermore, usage hexagonal fuzzy numbers formulates real-life that arise due flawed knowledge. There might be several situations decision-making where require six parameters or more. inclusion Python coding has further made numerical working simpler. sensitivity analysis carried out.