產業智能決策與優碳管理中心

Industrial Intelligence and Carbon Management Center

關於我們

產業智能決策與優碳管理中心(IICM)是一支由多所知名大學的工業工程專家組成的團隊，專注於人工智慧（AI）、精益管理（Lean）與品質控制（QC）。我們結合學術研究與產業實踐，致力於協助企業提升智能決策與優碳管理能力，邁向永續發展。

核心理念與願景使命

“There is always a better way”（總有更好的方法）——我們秉持不斷探索創新的精神，透過智能技術與管理方法，為企業打造更高效且更永續的營運模式。我們的目標是推動AI智能決策技術，提升企業營運效率與精準度，同時導入精益管理與品質控制，優化生產流程與資源配置。此外，我們致力於協助企業達成碳中和與綠色轉型，落實ESG與永續發展，推動產業智能化與低碳轉型，讓企業在追求卓越的同時兼顧環境永續。

1️⃣ AI 智能決策與數據分析

• 建立數據驅動的決策系統
• AI 預測與最佳化建議模型

2️⃣ 精益管理

• 流程優化與生產效率提升
• 導入精實生產（Lean Production）策略

3️⃣ 品質管理與智慧製造

• AI 結合 QC（品質控制）提升產品穩定性
• 智慧工廠與工業 4.0 應用
• 推動六標準差

4️⃣ 碳管理與永續發展

• ISO 14064-1：組織層級溫室氣體盤查與減量計畫
• ISO 14067：產品碳足跡評估與管理

5️⃣ 產學合作與技術轉移

• 產業問題診斷與技術顧問服務
• 研發合作、技術創新及專利應用
• 人才培育與企業內部培訓

團隊來自多所知名學術機構，成員涵蓋教授、博士生與專業資深顧問，擁有深厚的學術背景與豐富的產學合作經驗，包括：

✅ 強大的學術研究實力：團隊成員皆為學術界專家，專精於AI、工業工程、品質管理與永續發展等領域，並積極參與國際期刊發表與科技專案研究。

✅ 卓越的產學合作與應用實踐：透過多年的產學合作經驗，團隊深入企業實務，協助不同產業落實智能決策與優碳管理技術，成功提升企業效率與競爭力。

✅ AI + Lean + QC 整合應用：將AI技術與精益管理、品質控制相結合，提供數據驅動的最佳決策方案，幫助企業實現高效能運作與永續經營。

如果您對我們的服務有興趣，或希望進一步洽談產學合作，歡迎透過以下方式聯絡我們：

1. 2025 工程設計專案應用生成式技術
2. 2025 點碳成金淨零計畫-金屬機電產業低碳化輔導及支援服務
3. 2025 智慧製造指引撰寫與優化
4. 2025 製造業轉型診斷與延伸服務
5. 2024 車用攝影機模組製程之數據分析與決策
6. 2024 開發回收活性碳槽條件最佳化AI模式
7. 2023-2024 異常根因追蹤調參優化研究計劃
8. 2023-2024 開發虛擬品質量測預測模型於化學製程優化之實踐
9. 2023 AI運算平台
10. 2023 供應鏈數位化工具產業導入研究：資策會
11. 2022-2023 開發含浸機台品質預測、參數優化與推薦於控制膠化時間之智能品質模式
12. 2022 導入AI技術於製程決策、商業決策、機器視覺與自然語言專案推動之實踐
13. 2021-2022 發展原物料採購規劃之智能輔助決策系統
14. 2021-2022 發展供應商評比之智能儀表板決策模式
15. 2021-2022 發展紡織染整對色精準預測模式與配對分析
16. 2021-2022 智慧製造韌性供應鏈資訊應用POC驗證：紡織產業
17. 2021 發展大型變壓器智能估價之決策推薦模式
18. 2021 發展CPP膠膜製程之智慧排程模式
19. 2021 六標準差技術於印刷電路板製程品質優化
20. 2021 導入六標準差技術於石化產業之應用：Using JMP (苗栗、新竹、仁武廠)
21. 2021 導入統計與可靠度分析技術：Using Minitab

1. 2025 大華金屬精實效能提升服務計畫, 114年度經濟部產業發展署【數位管理共好加值計畫】, 2025/3/1-2025/9/30 精實管理蹲點診斷服務計畫 (計畫主持人)
2. 2022 應用精實技術於研磨砂輪製程診斷服務計畫, 111年度【數位製造管理加值計畫-優化產業數位製造管理環境分項計畫】精實管理蹲點診斷服務計畫, 2022/3/15-2022/9/15  (計畫主持人)
3. 2021 導入精實技術於研磨砂輪製程診斷服務計畫, 110年度【數位製造管理加值計畫-優化產業數位製造管理環境分項計畫】精實管理蹲點診斷服務計畫, 2021/4/26-2021/10/26  (計畫主持人)
4. 2021 導入精實技術於少量多樣鈑金製程診斷服務計畫, 110年度【數位製造管理加值計畫-優化產業數位製造管理環境分項計畫】精實管理蹲點診斷服務計畫, 2021/4/26-2021/10/26  (計畫主持人)

在 2023 與 2025 年間，產業智能決策與優碳管理團隊 在 金屬中心、資策會與產業發展基金會（產基會） 的補助與支持下，成功協助 58 家製造業 企業進行 低碳化與智慧化輔導，並提供專業的診斷與客製化解決方案。

🏆 主要成果與影響

🔹 低碳轉型：導入 ISO 14064-1（組織碳盤查），協助企業建立碳管理機制，精準掌握碳排放狀況，制定減碳策略，提升永續競爭力。

🔹 智慧化輔導：根據企業需求，提供客製化解決方案，應用 AI、數據分析、精益管理等技術，優化生產流程，提高營運效率與能源利用率。

🔹 產業輔導：涵蓋 金屬加工、電子製造、精密機械等多個製造業領域，根據產業特性設計適合的低碳與智慧化升級策略。

🔹 實證應用：針對企業實際營運情境進行深入診斷，提供具體可行的解決方案，確保技術與管理策略真正落地執行。

📢 未來我們將持續擴大產業合作，幫助更多企業實現低碳轉型與智慧化升級，打造更具競爭力的製造業新典範！🚀

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2. Wang, Chien-Chih, Shen, Hong-Gu, and Chien, Chun-Hua (2026), "Cold-Start Quality Prediction in Multi-Machine Manufacturing Systems via Weak-Consistency Data Fusion with Human-in-the-Loop Learning", The International Journal of Advanced Manufacturing Technology, 143, 1499–1516 (2026). https://doi.org/10.1007/s00170-026-17673-x (SCI).
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10. Wang, C.-C., & Yang, Y.-Y. (2023). A machine learning approach for improving wafer acceptance testing based on an analysis of station and equipment combinations. Mathematics, 11(7), 1569.
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19. Chen, K. T., Wang, C.-C.*, & Kuo, C.-H. (2021). Empirical study of foundry efficiency improvement based on data-driven techniques. Processes, 9(7), 1083.

1. Zhu, B., Wang, C.-C.*, & Hung, C.-Y. (2024). Environmental, geographical, and economic impacts of in-bound tourism in China: A mixed-effects gravity model approach. Sustainability, 16(15), 6671.
2. Wang, C. C., He, B. Y., & Hung, C. Y. (2024). Analysis of consumers' willingness to pay for eco-friendly insulation tape and its influencing factors. IIAI Letters on Business and Decision Science, 4, LBDS254.
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5. Chen, W.-J., Lu, C.-J., Hsu, P.-T., & Yang, C.-T.* (2024, March). Research on the optimal maintenance and inventory model based on carbon tax policy. Processes, 12, 599.
6. Yang, C.-T., Gu, M., Lee, T.-S., & Lu, C.-J.* (2024, March). Multistage global supply chain inventory model with the impact of carbon tariffs for deteriorating items. Journal of Industrial and Management Optimization, 20(3), 1271-1295.
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8. Hao, S., Chen, Z., Wang, C.-C.*, & Hung, C.-Y. (2023). Impact of digital service trade barriers and cross-border digital service inputs on economic growth. Sustainability, 15(19), 14547.
9. Wang, C.-C., & Chiang, H.-W. (2023). A case study of supplier evaluation based on internal and external metrics using decision-matrix. International Journal of Innovation in Management, 11(1), 25-30.
10. Gu, M., Lu, C.-J., Lee, T.-S., Lee, H.-M., & Yang, C.-T.* (2022, September). Effects of carbon tariffs on optimal production-inventory decisions for deteriorating items under carbon tax policy. International Journal of Information and Management Sciences, 33(3), 183-200.
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13. Lu, C.-J., Yang, C.-T.*, & Yen, H.-F. (2020). Stackelberg game approach for sustainable production-inventory model with collaborative investment in technology for reducing carbon emissions. Journal of Cleaner Production, 270, 121963.
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