鋼筋為營造業最廣泛使用的材料之一，根據行政院公共工程委員會公共工程價格資料庫105年所登載建築工程決標價格資料顯示，SD420鋼筋價格每公噸價格自1月份的20,858元到6月份已降至13,350元，跌幅高達56%，價格波動甚鉅。
營造廠針對鋼筋採購的決策主要倚靠採購人員的經驗進行，如果認為未來的鋼筋價格將呈現漲價的趨勢，將會進行大量的採購，惟不同採購人員恐有不同的判斷標準，難免發生判斷錯誤的情形。
有鑑於此，本研究蒐集國內外鋼筋價格預測及採購策略等相關文獻，彙整影響鋼筋價格的因素，並利用生物共生演算法最小平方差支持向量機(SOS-LSSVM)建立鋼筋價格預測模式，再利用價格預測的結果，擬定8種預測態樣及相對應的採購態樣，最後並加入存貨管理的概念，建立一套系統化的鋼筋採購策略，提供營造廠採購人員參考。
本研究鋼筋價格預測模式預測結果的絕對百分比誤差(Mean Absolute Percent Error, MAPE)值皆小於10%，屬於高精度的預測。研究成果亦顯示，將鋼筋的實際價格以本研究採購態樣進行模擬測試後，可節省3.81%的採購成本，進一步將採購態樣加入滾動管理的概念後，更可節省4.04%的採購成本。

Rebar is one of the most widely used materials in the construction industry, according to recent data from the Price Data Library of the Public Construction Commission (PCC), we can find from the 105 annual data, SD420 rebar prices in January was 20,858 TWD per ton, until the same year in June has dropped to 13,350 TWD per ton, has dramatically decreased by 56%, the price fluctuations are very large.
The decision of the construction plant for the purchase of rebars relies mainly on the experience of the procurement personnel. If the price of rebars in the future is expected to show a trend of price increase, a large amount of procurement will be carried out. However, different procurement personnel may have different judgment standards, and it is inevitable that judgment errors will occur. Situation.
In view of this, this study collects relevant literature on domestic and foreign rebar price forecasting and procurement strategies, gathers factors that influence the price of rebar, and uses the SOS-LSSVM to establish the SD420 rebar price forecasting model. Then use the results of price forecasting to formulate 8 kinds of forecasting situations and corresponding purchasing situations. Finally, add the concept of inventory management, establish a systematic rebar procurement strategy, and provide reference for construction plant procurement personnel.
The Mean Absolute Percent Error of the forecast results of the rebar price forecasting model in this study is less than 10%, which is a high-precision forecast. The research results also show that after the actual price of the rebar was simulated and tested with the purchasing situations of this research, the purchase cost of 3.81% can be saved, and after further adding the purchase situations to the concept of rolling review, the purchase cost of 4.04% can be saved.

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