本研究在整合探討供應商與多個顧客在含部分報廢部分可重工修復之生產系統的(n+1)次配送與整合多樣產品生產含重工修復並多次配送的最佳生產與配送策略。假設在不完美的生產過程下,會先將沒辦法再重工修復的瑕疵品先行報廢,剩下可以重工修復的瑕疵品再予以完美重工修復。為了符合現實情況,故本研究將傳統EPQ模型的連續配送假設為(n+1)次配送及多次配送。 本研究針對上述假設建立了兩種數學模式:(1)在正常生產時間內先行一次配送,待部分瑕疵品重工修復後,在進行多次配送給多個顧客並包含多個顧客端持有存貨之最佳生產批量及配送次數策略;(2)在瑕疵品重工修復後,將多樣產品多次配送並包含顧客端持有存貨之最佳週期時間及配送次數之策略。最後提出數值實例來加以驗證,並對參數值做敏感度的分析,並期望本研究的數學模式能夠應用在實務的情況上,提供業界作為決策參考之依據。
This thesis studies the optimal production-delivery decisions for an integrated system with multiple buyers, partial rework-able items and (n+1) deliveries, and for a multi-item manufacturing system with rework process and multi-deliveries. It is assumed the production process is not perfect, a portion of defective items is scrap and the remaining can be reworked and repaired. In order to conform to the realities, instead of using the traditional (EPQ model''s) continuous distribution, this study assumes a (n+1) delivery policy. This research has established two mathematical models: (1) (n+1) deliveries to multiple buyers with imperfect production; (2) multi-item deliveries to single buyers under rotation cycle policy in a supply chain environment. Optimal lot size and best delivery policy is derived for Model 1. Optimal production cycle time and number of deliveries is obtained for Model 2. Finally, a numerical example with sensitivity analysis is provided to verify the research results. It can be used in practical situations in industry as a basis for decision making.