事實上,有某些產品其退化比率非常快,如液體,揮發性,藥品等物資。然而,很少有人注意到在大多數的庫存系統中什麼會影響退化發生。並且,退化的損失是不容忽視的一個重要問題。在本研究中,提出的問題,在急劇退化項目的條件下確定經濟訂貨批量(EOQ模型),允許延遲付款並考慮不良品發生條件下,發展出最佳存貨策略演算法,尋求買賣雙方之總成本最小化,同時導出最佳零售商訂購量、補貨週期及供應商最佳運送次數。本研究也提出了另一模糊需求環境下的存貨模型,允許供應商提供給零售商延遲付款並考慮品質。利用數值範例說明此存貨模型之結果。本論文所提出之整合存貨模型,討論了最佳補充週期時間,在產品的大幅退化的條件下,允許延遲支付採取訂單數量。從結果得出之結論是符合現實環境之新存貨模式。
In reality, there are of various products such as liquids, volatile, medicines and materials, in which the rate of deterioration is very large. However, little attention has been mentioned what the effects of deterioration occur in most inventory systems. Also, the loss of the deterioration should not be neglected as an important issue. In this study, we proposed the problem of determining the Economic Order Quantity (EOQ) for exponentially deteriorating items under the conditions of permissible delay in payments. Recent researches revealed that the payment for the product must be made forthwith when the order quantity is less than the allowable delay in payments. The fixed trade credit period was permitted, or else. Therefore, we utilized the fuzzy theory to implement more considerable answers via numerical examples which were provided to illustrate the results clearly at the end of study. This study discussed the optimal replenishment cycle time for an exponentially deteriorating product under conditions of permissible delay in payments to take the order quantity into account. This study presented another fuzzy environment inventory model which accounts for the permissible delay in payments offered by supplier to the retailer. From the results, it can be concluded that another point of view to decision makers in uncertainty.