An intuitionistic fuzzy EOQ model with advance payment, deterioration, and preservation technology under inflation

This study develops an economic order quantity model that accounts for advance payment schemes, deterioration, and preservation technology in an intuitionistic fuzzy environment to capture real-world inventory uncertainty. The proposed model further integrates demand, which depends on the selling price, advertising frequency, and stock levels, along with time-varying holding costs, allowance for partial backorders, and the impact of inflation. First, the crisp model is formulated, and then the triangular intuitionistic fuzzy number is applied to this model. Defuzzification of the fuzzy model is performed using two distinct approaches: the signed distance method and the graded mean integration representation method. A solution procedure is developed to determine optimal solutions, and an algorithm is created by combining the results of all models derived from the analytical study. The numerical example is illustrated for both the crisp and fuzzy models, and ۲D and ۳D graphs are plotted using MATLAB (R۲۰۲۵a).A sensitivity analysis examines how changes in inventory parameters affect the optimal solution, offering managers valuable insights for decision-making under uncertainty.

کلیدواژه ها:

Advance payment ، Triangle intuitionistic fuzzy number ، Signed distance method ، Preservation technology ، Inflation