本研究將探討產品具有A-BOM（Alternative Bill-of-Material）特性之TFT-LCD（thin film transistor liquid crystal display）模組廠之物料採購計劃。A-BOM代表產品可由不只一組BOM組成，而不同家供應商提供之物料可組成不同A-BOM；模組廠的顧客會指定由不同A-BOM組成的產品，模組廠再根據顧客指定A-BOM進行生產。考量現今產業需求具有不確定性的情形下，在規劃期間內，各產品於各期有不同的預測需求分配，過去研究僅以需求預測的期望值來做物料採購規劃，但在需求丕變的環境下，無法找到一個穩健（robust）的物料採購計劃，故本研究利用二階隨機規劃（two-stage stochastic programming）手法來考慮未來需求之不確定性，以期能找到各期之最佳物料採購組合，達到較穩健的物料採購結果。
　　由於模組廠在收到顧客訂單之前必須先採購物料，待顧客給予訂單後，再將採購好的原物料分配給各顧客需求，故可將採購物料視為未來不確定性事件發生前必須做的第一階段決策，當真實需求發生後將購買好的物料進行第二階段的物料分配。模組廠採購物料的目標是以實際採購比例與預先決策好之理想採購比例差距最小化，本研究同時考慮需求不確定性，除了達到理想採購比例外，盡可能讓缺貨比例與庫存比例最小化。
　　本研究將以一案例驗證二階隨機規劃模型得到之物料採購計劃，將比確定性物料採購計劃穩健，面對未來需求不確定性，二階隨機規劃在目標值與風險評估績效指標上有較優異的表現。除此之外，本研究最後將設計DE（differential evolution）啟發式演算法，提供產業在面臨大型問題（large scale）的狀況下，仍可使用本研究提出之二階隨機規劃，並將此結果提供現場物管人員，做為實際規劃的一個參考建議。

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