本研究主要探討整合多次定量配送多樣產品在含部分報廢部分可重工修復之生產系統的最佳生產週期和配送策略與研究含設備當機(AR型)及不良品完全報廢並多次定量配送的最佳生產時間。假設生產過程不完美情況下,先將無法重工修復的不良品進行報廢,將剩下可重工修復的不良品重工修復。隨著機器設備運作時間越長,機器設備產生不穩定,不可避免的發生當機。傳統EPQ模型的連續配送與現實情況有所差異,為符合實際情況將連續配送假設為多次定量配送模式。 本研究針對上述假設建立了兩種數學模式:(1)部分不良品進行報廢後重工修復之多樣產品多次配送且包含顧客端持有存貨之最佳生產週期及配送次數策略;(2) AR(abort/resume)作為設備維修處理方式,探討在隨機性當機情況下,將不良品完全報廢後並多次配送之最佳生產時間。最後提出數值實例加以驗證,並對參數值做敏感度分析,期望本研究的數學模式能作為實務應用上決策參考之依據。
This thesis studie the optimal production-delivery decisions for an integrated system with multi-item and partial scrap items, and on the optimal run time for a system with machine breakdowns (AR-policy) and scrap.Two mathematical models are developed respectively: (1) model 1 considers multi-item that deliver to single buyer under common cycle policy in a supply chain environment, which has two decision variables (T*, n*); (2) model 2 examines random machine breakdown situation (under AR-policy) with scrap and multi-deliveries, which has single decision variable (t1*). Numerical examples with sensitivity analyses are provided to verify the research results.