Design of Fuzzy Economic Order Quantity (EOQ) Model in the Presence of Inspection Errors in Single Sampling Plans

Inventory management is the core of supply chain system, in which economic order quantity (EOQ) model a fundamental inventory model. This paper develops fuzzy EOQ presence inspection errors single sampling plans. The assumes probability mis-classifications. An system hypothesized where orders undergo acceptance sampling, back-orders are eliminated, and defectives set aside from inventory. Due to vagueness real time data, rate at an turn be scrap, costs holding, characterized by random variables. Since total profit involved variable, maximum expected obtained. Some numerical examples presented, sensitivity analysis study carried out check validity developed.