在傳統的精密鑄造產業中，通常以ERP系統來做為資訊應用系統，而傳統ERP系統的目的是進行生產計劃制定、財務結帳、採購與報表製作等等。僅依靠ERP系統來管理生產現場是無法詳細紀錄所有生產資訊，使得生產現場的資料無法資訊化、自動化、即時化，導致生產效率無法進一步提升。
為了使生產製程能夠資訊化，自動化與即時化，本研究以MES概念研發即時生產管理系統，系統主要功能包含: WIP、生產排程、派工、生產即時工作狀態與生產歷史資訊等功能，並透過條碼技術減少操作人員輸入資料所花費的時間與失誤，如生產工單、人員編號、料號等。此外再將資訊以5W1H分析法概念以人、事、時、地、物等元素整合並儲存至雲端資料庫中，使資料集中化。最後針對導入後與目前現況的資料進行分析，分析結果顯示本系統有助於即時記錄生產詳細資訊。本系統可使企業能夠即時了解生產線上的各製程即時資訊，並減少無附加價值的活動，有效率地掌握生產過程，提升產品的交貨準確率與生產狀態回報。

In the traditional precision dewaxing casting industry, the ERP system is usually used as the information application system, and the ERP system is designed for production planning, financial checkout, procurement and report production. It is impossible to record all the production information in detail by relying on the ERP system to manage the production site, so that the information on the production site cannot be informationized, automated and instant, and the production efficiency cannot be further improved.
In order to make the production process informationization, automated and instant, this research develops an instant production management system based on MES concept. The main functions of the system include: WIP, production scheduling, dispatching, production real-time working status and production history information. And through bar code technology to reduce the time and errors spent by operators on inputting data, such as production work orders, personnel numbers, item numbers, etc. In addition, the information is integrated into the cloud database by means of the 5W1H analysis concept with elements such as people, events, time, place, and objects, so that the data is centralized. Finally, the data of the imported and current status are analyzed. The analysis results show that the system helps to record the production details in real time. The system enables enterprises to instantly understand the real-time information of each process on the production line, reduce activities without added value, efficiently master the production process, and improve the delivery accuracy and return of production status.

目錄
中文摘要 II
Abstract III
誌謝 V
目錄 VI
表目錄 IX
圖目錄 X
第一章、緒論 1
1.1. 研究背景與動機 1
1.2. 研究目的 2
1.3. 研究流程 3
第二章、文獻探討 4
2.1. 製造執行系統 4
2.1.1. 製造執行系統技術 4
2.1.2. 製造執行系統功能模組 4
2.1.3. 製造執行系統相關研究 6
2.2. 物聯網 8
2.2.1. 物聯網技術 8
2.2.2. 物聯網架構 8
2.2.3. 物聯網相關研究 10
2.3. 智慧製造 12
2.3.1. 智慧製造技術 12
2.3.2. 智慧製造挑戰 13
2.3.3. 智慧製造相關研究 15
第三章、研究方法 17
3.1. 物聯網 17
3.1.1. 感知層 17
3.1.2. 網路層 17
3.1.3. 應用層 17
3.2. 5W1H分析法 18
3.3. 雲端資料庫 19
第四章、實驗設計 21
4.1. 個案公司介紹 21
4.2. 系統架構 23
4.3. 實驗環境 25
4.4. 雲端資料庫之設計 26
4.5. 系統功能介紹 27
4.5.1. WIP模組 27
4.5.2. 生產排程模組 28
4.5.3. 派工模組 29
4.5.4. 工作狀態模組 30
4.5.5. 歷史資料模組 32
第五章、實驗成果與討論 34
5.1. 系統實作介面 34
5.1.1. 系統登入介面 34
5.1.2. 浸漿製程介面 36
5.1.3. 品保製程介面 42
5.2. 系統導入後量化指標改善 53
5.3. 系統導入後質化指標改善 62
第六章、結論與未來展望 63
6.1. 結論 63
6.2. 未來展望 64
參考文獻 65
附錄一 68

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