「連續性批次生產」於化學相關之產業是最基本的生產模式，如製藥業、化妝品相關產業、食品加工業等等。比起其他產業，相對長時間的生產時間與換線(設置、清洗)時間，是這些產業的主要特性。為了盡量最小化換線所帶來大量的產能損失，生產線以連續性批次生產的模式以達到降低換線頻率的效果。另一方面，由於多樣化且部分小量的產品需求，多功能生產線的生產環境因應而生，表示一個生產線必須具備可生產多種產品的能力。而在多功能生產線的生產環境下進行生產，提供了在生產規劃時的彈性空間，但也同時讓排程變得相當複雜，難以決定到底應該將各個產品需求做怎樣的切分，並如何分配所有的連續性批次到哪些多功能生產線下進行生產才為最佳排程。本篇論文特別針對製藥業進行生產排程的研究，並建構一數學與決策模型來描述現實中的狀況並加以求解，最後以一實際的案例來加以驗證。

Abstract
Batch production is highly used in chemical process industries such as pharmaceuticals, cosmetics, food processing, etc. A few typical characteristics common in these industries are the long setup time and the long cleaning time. To minimize the cost and the frequency needed for the changeovers, the plants are operated in campaign mode. However, the products are often sold in small quantities with the fluctuating demands, the multi-purpose plants are preferred. While the multi-purpose plants gains the flexibility for the production planning, it becomes much more complex to decide how to run the plants, when and in what amount of different product should be made. In this paper, we study the planning problem in pharmaceutical industry and build a mathematical and decision model to characterize it. An empirical study is conducted to demonstrate the viability of the proposed model.

目錄
一、緒論 1
1-1 研究背景與重要性 1
1-2 研究動機與目的 3
1-3 論文架構 3
二、文獻探討 5
2-1 連續性批次生產之計劃問題(CPP) 5
2-2 求解方式 5
2-2-1 數學規劃方法 5
2-2-2 離散型數學模型 6
2-2-3 連續型數學模型 6
2-3 模糊邏輯 7
三、問題定義 11
3-1 問題描述 11
3-2 實際生產行為 16
四、決策模型 22
4-1 目標式 24
4-2 分配限制式 26
4-3 排序限制式 26
4-4 生產路徑限制式 27
4-5 換線限制式 28
4-6 需求限制式 29
4-7 模糊推論系統(FIS) 30
五、實證案例 42
5-1 GDS Plan與ADS Plan之比較 42
5-2 實例研究 45
六、結論與未來研究 48
6-1 結論 48
6-2 未來研究 48
參考文獻 50

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