本研究探討整合買賣雙方之生產單一產品(n+1)次定量配送之含機器隨機當機且不完美品項完全報廢與延遲產品差異化兩階段式多樣產品之最佳生產週期與配送策略。假設在在單一產品生產過程中機器會隨機發生當機情況並以AR(Abort/Resume)模式作為當機處理方式。在單一產品與多樣產品生產過程中,會有不良品的產出,而所有不良品皆完全報廢。傳統EPQ(Economic Production Quantity)模型只優化生產端部分與現今情況之間有所差異,為了更加符合實際製造業生產之情況,將傳統EPQ模型進行延伸,整合生產端與顧客端供應鏈系統。本研究將依以上的假設建立數學模式。 本研究針對上述假設建立了兩個數學模式:模式一探討(n+1)次定量配送並且整合生產端與顧客端之供應鏈,求得最佳生產週期,並進行分析比較;模式二探討在不同生產方案下,延遲產品差異化之多樣產品兩階段式不完美生產-多次配送的最佳化生產週期與配送策略決策並進行分析。最後對此兩個數學模式給予數值實例來加以驗證,並針對相關的參數值進行敏感度分析,期望本研究的數學模式能作為實務上決策依據的參考。
This study determining the production cycle and delivery strategy for manufacture-customer integrated system with (n+1) distribution plan, scrap, breakdown and two-stage multi-item production system with delayed product differentiation . Assuming the machine will be breakdown randomly in a single production process and using AR (abort / resume) as a machine handling method. At single product and multi-item products in the production process, there will be output the defective products, and all the defective products are scrapped. Traditional EPQ model only optimize manufacturer but nowaday the situation is different . To be more consistent with the actual manufacturing of production, this study extend the traditional EPQ(Economic Production Quantity) model to integrating the production side and the customer supply chain systems. This study will establish the mathematical model according to the above assumptions. This study according to the above assumption that established two mathematical models:Model (1) discuss (n+1) distribution plan and integrate the manufacturer and the customer supply chain to determine the optimal production cycle, and the analysis and comparison. Model (2) discuss the optimal production cycle and delivery times under the different production program, delayed product differentiation of multi-items with imperfect of two-stage production and multi-delivery policy. Finally, numerical example with sensitivity analyses for two models. Expectations of mathematical models of this study can be used as a decision basis for practical reference.