本研究探討整合多樣產品生產之不完美重工後多次配送的最佳生產週期與配送策略與機器含當機與不完美重工後多次配送之最佳生產時間。假設在不完美的生產過程中,將不良品當中無法進行重工修復的進行報廢,之後將可重工的不良品進行修復,修復過程中仍會有不良品,將重工失敗品亦列為報廢品。為了更符合實際情況,本研究將傳統EPQ模型的連續配送假更改為多次配送,之後針對此問題建立數學模式。 本研究針對上述假設建立了兩種數學模式:(1)在不良品不完美重工修復後,進行多樣產品多次配送並包含顧客端持有存貨之最佳生產週期與配送次數策略;(2)假設生產中機器具隨機性當機的機會,以AR(abort/resume)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,在不完美重工後,進行多次配送,在此生產過程中包含隨機當機程序的情況下探討最佳生產時間。最後針對此兩種數學模式提出數值實例來加以驗證,並且針對參數值做敏感度分析,期望本研究的數學模式能夠符合實際情況,以提供業界作為決策之參考。
This study determines the common cycle run time and multi-delivery policy for a multi-item manufacturing system with failure in rework, and the production run time for a system with machine breakdowns and imperfect rework. Accordingly, this research has established two mathematical models: (1) for a multi-item manufacturing system with failure in rework and multi-deliveries under rotation cycle policy; (2) for a production system with stochastic machine breakdown which follows the Poisson probability distribution. Mathematical modeling and analyses are used for solving both models. As the results, the optimal production cycle time and number of deliveries are obtained for model 1, and the optimal production time is derived using a search algorithm. Numerical example with sensitivity analyses are given to demonstrate practical usages of our obtained results.