本研究探討含隨機報廢並(n+1)次配送之多樣產品生產之最佳生產配送策略與含機器當機、報廢品並多次配送之整合買賣方供應鏈系統之最佳生產時間。為了更符合實際情況,本研究將傳統EPQ模型的假設進行延伸,在不完美的生產過程中,有不良品的產生,所有不良品皆假設為完全報廢,且生產過程中機器具隨機性當機的機會,並以AR(abort/resume)模式作為機器維修後的處理方式,即當機器維修完成後繼續先前未完成之生產程序。而配送方式假設為多次配送,並整合買賣雙方供應鏈系統。依以上諸項假設建立數學模式。 本研究針對上述假設建立了兩種數學模式:(1) 延伸學者黃朝治(2011)之研究,在不良品完全報廢後,進行多樣產品(n+1)次配送並包含顧客端持有存貨之最佳生產週期與配送策略,並進行比較分析;(2)延伸學者宋銘玄(2012)之研究,整合買賣雙方供應鏈之最佳生產時間。最後針對此兩種數學模式提出數值實例來加以驗證,並針對參數值進行敏感度分析,期望本研究的數學模式能夠符合實際情況,以提供業界實務上決策之參考。
This study determines the common cycle and (n+1) deliveries for a multi-item manufacturing system with scrap, and the optimal run time for single-vendor-single-buyer integrated system with machine breakdowns, multi-delivery policy and scrap. For more in line with the actual situation, this study extends traditional EPQ model to a production process which is not perfect i.e. with defective items and all defective products are assumed to be scrap. The second part of this study considers a production system with stochastic machines breakdown, under AR (abort / resume) policy, and when the machine breakdowns, it is under repair immediately, after repair it continues to complete the production of unfinished lot. The product distribution adopts multiple distribution methods, and the model integrates supply chain system between buyers and sellers. Mathematical modeling is used in this study. Two mathematical models are developed, respectively: (1)Part 1 of this paper extends prior work of Chao-Chih Huang (2011), our decision making focus on common cycle and (n+1) deliveries for a multi-item production system with scrap. (2) Part 2 of this paper extends the work of Ming-Syuan Song (2012) concentrates on the optimal run time for single-vendor-single-buyer integrated system with machine breakdowns, multi-delivery policy and scrap. Numerical example with sensitivity analyses are provided to demonstrate practical usages of our obtained results.