本研究在使用數學模式推導出含報廢品且多次定量配送的最佳生產批量決策。假設生產過程是不完美且不良品完全報廢的情況下,製造商以多次定量的配送方式配送至購買者,且加上購買者的存貨成本來計算最佳批量。在實際的生產過程中,傳統的經濟生產批量假設生產過程是完美的,且產品是連續的方式配送是不切實際的。因為生產過程中許多人為因素或是機械設備因素都會造成不良品產生和成本增加。本研究重點在討論:一、不良品完全報廢不含購買者存貨成本之生產批量。二不良品完成報廢整合購買者存貨成本之生產批量。最後提出實例來驗證,期望使得模式更加符合實際情況,提供實際應用與決策上之參考依據。
The paper studies the optimal lot size for imperfect EPQ model with scrap and fix-quantify delivery. Assumes that imperfect production process, and the defective goods totally scraps, each batch is dispatched to the buyer in a number of shipments. During production process, Traditional Economic Production Quantity assumes production process is perfect, and continuous deliveries that is impossible. Because the production of defective goods that a lot of human factors or mechanical equipment factors will all cause and increase of the cost during production process. This research focuses on discussing: Model 1, defective goods totally scraps and does not include the inventory cost of buyer. Model 2, defective goods totally scraps and combining the inventory cost of buyer. The results of these models are verified, numerical examples are given, and the sensitivity of optimal batch size is provided to demonstrate its practical usage.