由於目前我國武器系統採購作業活動的執行主要依照國防部軍事採購之主要武器裝備系統採購獲得流程及其他相關法規，其對於採購獲得流程的細部作業活動卻無相關的明文規定，且武器系統採購作業主要採專案形式進行，故通常沒有或極少有過去的執行經驗可以借鍳。因此，專案成敗的關鍵往往取決於執行者的經驗與能力。因此，本研究建立一以供應鏈作業參考模型(Supply-Chain Operations Reference model，SCOR)為基礎的武器系統採購作業關聯性解析系統，透過模糊理論來量化專家評估採購作業間之關聯程度，以建立作業之間的直接關聯值，做為推論模型之依據。並以本體論(Ontology)做為知識表達的方式結合敘述邏輯(Description Logic，DL)予以詮釋，再透過SWRL Rules推論規則語言，推導出模型中作業間之關係。
基於上述，本研究之目的為建立一以SCOR為基礎的武器系統採購作業關聯性解析系統，希望在採購作業發生問題時，透過推論的結果，提供一些判斷的基礎，方便專案執行者進行管控，以減少處理問題作業的時間。

Because of the execution of purchasing of weapon system is according to the weapon equipment systems of military purchasing of Ministry of National Defense. They don’t have an expressly stipulated in writing for the details of purchasing operation. In addition, the purchasing operation of weapon systems was conducted by project situation. It’s difficult to find an experience of execution can be reference. Therefore, the key of the project will be success or not is always depend on the abilities and experiences of the executors. In this research, a framework to support the reasoning of the casual relations of a malfunction work to assist the purchasing project management will be proposed. The purchasing process in a supply chain of a UAV (Unmanned Aerial Vehicle) cell will be modeled according SCOR（Supply Chain Operations Reference-model）. Then, the causal relations among the purchasing activities based on the knowledge of military product purchasing experts will be quantified by using fuzzy method. DWR (Discourse, Worlds, Relations ontology）will be used to represent the ontology of the purchasing process knowledge. Finally, a reasoning engine will be constructed in the Protege by integrating the DWR ontology and SWRL rules.

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