Autobiography

我的名字是盧宣文，於成功大學工學院工程管理碩士在職專班取得碩士學位，更於同年進入成功大學製造資訊與系統研究所研讀博士班，目前已取得博士候選人資格。

工作經歷

大學畢業後進入宏全國際擔任品保員一職，進行產品檢驗及可靠度測試，檢查、抽樣及估量未加工之原料或加工過之部件與產品，以避免與規格不符，造成客訴， 2013年進入群創光電擔任廠務工程師，隸屬水務課，服務五年時間，平時工作職掌為維持水處理三大系統：純水、廢水以及回收水系統穩定運轉，擁有設備保養及簡易維修能力，並與供應商及製程端協調，服務的廠區位於路竹，是台灣TFT-LCD面板生產世代最大的8.5與8.6代廠，擁有水處理的先進技術，對於先進技術原理及操作深入了解，服務期間協助提出系統運轉改善案，增加系統穩定度及降低操作成本，並與同仁合作獲得科學園區節水競賽優勝。

博士學位修習期間於西柏容公司開發資料應用工具與相關演算法，與MES、ERP系統結合，協助改善客戶生產流程與數位轉型。

專業能力

大學畢業於國立中興大學化學工程學系，專題研究題目為電鍍配方中的協同效應，指導老師為竇維平教授，並於專題研究期間，前往美國拉斯維加斯參加218th ECS Meeting，展示專題研究成果；工作一段時間後，有感於自己的不足，為了使自己具備跨領域知識，故於成功大學修習碩士學位，進入生產力最佳化實驗室，學習數據科學、資料探勘與機器學習等理論方法，並參加多次智慧製造相關之學術研討會。

研究所就讀期間修習了製造資訊與數據科學相關的課程，包含智慧型製造系統、資料庫系統、企業資料通訊、最佳化理論與統計資料科學、資料探勘等等，論文研究主要與機器學習方法相關，提出改善預測效果的演算法，另外也因為實驗室的培養，除了數據科學的方法與實作外，更學習了生產排程的相關理論，藉由討論與產學合作的機會，令我具備跨領域的知識。

進入博士班後，擔任產學計畫專案管理人與聯絡窗口，協助專案進行，研究領域則是專注於故障預測與預防保養(PHM)的深化，同時加入遷移學習，研究如何突破製造現場因個別機台特性與差異造成之品質問題。

未來

從大學、工作到研究所，深知每一個專案的完成都需要團隊合作與分工，在重新進入職場後，希望能夠發揮所學，配合團隊，並不斷更新與精進自我。

My name is Hsuan-Wen Lu, graduated from Engineering Management Graduate Program, National Cheng Kung University. In the same year, I entered the PhD program of the Institute of Manufacturing Information and Systems, National Cheng Kung University, and is currently qualified as a PhD candidate.

Work experience

After getting my bachelor degree, the I joined Taiwan Hon Chuan Group as a quality control personnel at the first year, sampling and estimating the raw materials and products to ensure the spec is in control. I joined Innolux as a water treatment engineer in 2013. I had served for five years. The daily work is maintaining the three major systems of water treatment: pure water, waste water, and recycled water systems. Coordinated with suppliers and the process side. During service, I proposed multiple improvement cases to increase system stability and reduce operating costs, also cooperated with colleagues to win the science park water-saving competition. 

Professional competence

I graduated from the Department of Chemical Engineering, National Chung Hsing University, the topic of research is the synergies in electroplating formulations, the advisor is Dr. Wei-Ping Dow. I participate in the 218th ECS Meeting which in Las Vegas to present the research. After working for a period of time, I studied a master ’s degree at National Cheng Kung University, entered the productivity optimization laboratory, and studied the data science and machine learning methods. Furthermore, I took courses related to manufacturing information and data science, including intelligent manufacturing systems, database systems, enterprise data communication, optimization theory and statistical data science, data mining, etc. The thesis research is mainly related to machine learning methods Relevant, proposed an algorithm to improve the prediction effect. In addition to the cultivation of the laboratory, in addition to the methods and implementation of data science, I also learned the relevant theory of production scheduling. 

I served as the project manager of the industry-university plan to assist the project. The research field focused on the prognostic and health management (PHM) and the transfer learning try to break through the quality problems caused by machine characteristics and differences.

Future

I understand that the completion of each project requires teamwork and division of labor. After re-entering the workplace, I wish be able to use what I have learned, cooperate with the team, and constantly update and improve myself.