Economic order quantity in fuzzy sense for inventory without backorder model

This paper investigates a group of computing schemas for economic order quantity as fuzzy values of the inventory without backorder. We express the fuzzy order quantity as the normal triangular fuzzy number (q1, q0, q2), and then solve the aforementioned optimization problem. We find that, after defuzzification, the total cost is slightly higher than in the crisp model; however, it permits better use of the economic fuzzy quantities arising with changes in orders, deliveries, and sales.