本研究基本架構為不完生產之兩階段供應鏈,製造商自製通用零組件,向供應商訂購差異零組件進行成品組裝回應需求,其中允許缺貨、不良品重工及廢棄。製造商所組裝之N項成品彼此間獨立,生產排程間亦彼此獨立,即為有N項兩階段供應鏈同時進行。 本研究加入兩項政策,並建立模式來討論,一則是推遲政策,二則是品質改善政策。製造商藉由模組化零組件,降低設置成本,減少差異零件訂購次數。利用一對數函數,增加投資改善生產能力,減少不良品產出比例,上述兩種方法有效降低總成本。 將實際政策以數學模式呈現,並利用Maple13與Excel軟體計算模式有全域或局部最佳,並求取最佳生產量、最適缺貨量、最佳不良品比例及最小單位時間平均總成本。並根據敏感度分析,來探討各參數變動對於決策變數之影響,以利廠商決策考量。
This paper presents a basic framework for a two-stage supply chain with backorder, rework and scrap. The manufacturer produces a generic component, and orders additional components from its suppliers. Afterward, the manufacturer assembles the end-products with generic and different components. The end-products are assembled independently under different production schedules in a two-stage production. This study proposes two models representing two different strategies. First is the postponement strategy that reduces the setup cost and decreases the order times by modular components. Second is the quality improvement strategy that reduces the occurrence of defective items. The results illustrate that both strategies can effectively reduce the supply chain total cost. Numerical examples and sensitivity analyses are provided to demonstrate the validity of the proposed models. We use Maple 13 and Excel to solve the models. This paper gives valuable insight in determining an optimal replenishment policy under the given production environment.