1. 師資陣容
  2. 授課師資
  3. 簡禎富

東吳大學法商講座教授/國立清華大學講座教授兼執行副校長
個人網址: 
http://dalab.ie.nthu.edu.tw/
https://ieem.site.nthu.edu.tw/p/404-1310-39292.php?Lang=zh-tw
最高學歷: 
美國威斯康辛大學麥迪遜分校決策科學與作業研究博士
專業領域: 
決策分析、工業3.5、大數據分析、智慧製造、半導體製造、製造策略
教授課程: 
藍湖策略與數位轉型

論文著作與研究計畫

 Journal Papers

  1. Xie, Y., Gui, F.-X., Wang, W.-J., and Chien, Chen-Fu (2021), “A Two-stage Multi-population Genetic Algorithm with Heuristics for Workflow Scheduling in Heterogeneous Distributed Computing Environments,” IEEE Transactions on Cloud Computing, DOI: 10.1109/TCC.2021.3137881. (SCIE) (2020 Impact Factor: 5.938, Rank by JIF: 24/161, 11/110) (Coming soon)
  2. Chien, Chen-Fu and Lan, Y.-B. (2021), “Agent-based approach integrating deep reinforcement learning and hybrid genetic algorithm for dynamic scheduling for Industry 3.5 smart production,” Computers & Industrial Engineering, 162, 107782, DOI: 10.1016/j.cie.2021.107782. (MOST 109-2634-F-007 -021; MOST 109-2634-F-007 -019) (SCI/SCIE) (2020 Impact Factor: 5.431, Rank by JIF: 14/49, 21/112) (Coming soon)
  3. Do, H. T., Truong, L. H., Nguyen, M. T., Chien, Chen-Fu, Tran, H. T., Hua, H. T., Nguyen, C. V., Nguyen, H. T. T., and Nguyen, N. T. T. (2021), “Energy-Efficient Unmanned Aerial Vehicle (UAV) Surveillance Utilizing Artificial Intelligence (AI),” Wireless Communications and Mobile Computing, 2021, DOI: 10.1155/2021/8615367. (SCIE) (2020 Impact Factor: 2.336, Rank by JIF: 149/273, 56/91, 95/161) (Coming soon)
  4. Aviso, K. B., Chien, Chen-Fu, Lim, M. K., Tan, R. R., and Tseng, M.-L. (2021), “Taiwan Drought was a Microcosm of Climate Change Adaptation Challenges in Complex Island Economies,” Process Integration and Optimization for Sustainability, 5, 317-318, DOI: 10.1007/s41660-021-00188-1. (ESCI)
  5. Chien, Chen-Fu and Chen, C.-C. (2021), “Adaptive parametric yield enhancement via collinear multivariate analytics for semiconductor intelligent manufacturing,” Applied Soft Computing, 108, 107385, DOI: 10.1016/j.asoc.2021.107385. (MOST 108-2634-F-007-001; MOST 109-2634-F-007-019; MOST 109-2634-F-007-021) (SCI/SCIE) (2020 Impact Factor: 6.725, Rank by JIF: 11/112, 24/139) (Coming soon)
  6. Lin, Y.-S., Cheng, C.-M., Chien, Chen-Fu (2021), “How Smart Manufacturing Can Help Combat the COVID-19 Pandemic,” Diagnostics, 11(5), 885, DOI: 10.3390/diagnostics11050885. (SCI/SCIE) (2020 Impact Factor: 3.706, Rank by JIF: 45/169)
  7. Chien, Chen-Fu, Chen, Y.-J., Han, Y.-T., and Wu, Y.-C. (2021), “Industry 3.5 for optimizing chiller configuration for energy saving and an empirical study for semiconductor manufacturing,” Resources, Conservation and Recycling, 168, 105247, DOI: 10.1016/j.resconrec.2020.105247. (SCI/SCIE) (2020 Impact Factor:10.204, Rank by JIF: 5/54, 11/274) (Coming soon)
  8. Chien, Chen-Fu, Halim, A. H., He, Z., Ho, T. P., Ishii, K., and Lee, T.-E. (2021), “Industry 3.5: IE developments and prospects in the Asia-pacific region,” Computers & Industrial Engineering, 153, 107088, DOI: 10.1016/j.cie.2020.107088. (SCI/SCIE) (2020 Impact Factor: 5.431, Rank by JIF: 14/49, 21/112) (Coming soon)
  9. Wang, C.-Y., Chen, Y.-J., and Chien, Chen-Fu (2021), “Industry 3.5 to empower smart production for poultry farming and an empirical study for broiler live weight prediction,” Computers & Industrial Engineering, 151, 106931, DOI: 10.1016/j.cie.2020.106931. (MOST 109-2634-F-007 -019; MOST 109-2634-F-007 -021) (SCI/SCIE) (2020 Impact Factor: 5.431, Rank by JIF: 14/49, 21/112) (Coming soon)
  10. Hong T.-Y. and Chien, Chen-Fu (2020), “A simulation-based dynamic scheduling and dispatching system with multi-criteria performance evaluation for Industry 3.5 and an empirical study for sustainable TFT-LCD array manufacturing,” International Journal of Production Research, 58(24), 7531-7547, DOI: 10.1080/00207543.2020.1777342. (MOST 108-2634-F-007 -001; MOST 108-2634-F-007 -008) (SCI/SCIE) (2020 Impact Factor: 8.568, Rank by JIF: 4/49, 2/84, 3/50)
  11. Lee, C.-Y., Chien, Chen-Fu (2020), “Pitfalls and protocols of data science in manufacturing practice,” Journal of Intelligent Manufacturing, 1-19, DOI: 10.1007/s10845-020-01711-w. (MOST 106-2218-E-031-001; MOST 109-2634-F-007-019) (SCI/SCIE) (2020 Impact Factor: 6.485, Rank by JIF: 25/139, 10/50) (Coming soon)
  12. Fu, W., Chien, Chen-Fu and Tang, L. (2020), “Bayesian network for integrated circuit testing probe card fault diagnosis and troubleshooting to empower Industry 3.5 smart production and an empirical study,” Journal of Intelligent Manufacturing, 1-14, DOI: 10.1007/s10845-020-01680-0. (MOST 108-2634-F-007 -001; MOST 108-2634-F-007 -008) (SCI/SCIE) (2020 Impact Factor: 6.485, Rank by JIF: 25/139, 10/50) (Coming soon)
  13. Nguyen, M.T., Truong, L.H.., Tran, T.T., and Chien, Chen-Fu (2020), “Artificial intelligence based data processing algorithm for video surveillance to empower industry 3.5,” Computers & Industrial Engineering, 148, 106671, DOI: 10.1016/j.cie.2020.106671. (2020 Impact Factor: 5.431, Rank by JIF: 14/49, 21/112) (Coming soon)
  14. Ju, Y., Liang, Y., Luis, M., Wang, A., Chien, Chen-Fu, Dong, P., and Gonzalez, E.D.R.S. (2020), “A new approach for heterogeneous linguistic failure mode and effect analysis with incomplete weight information,” Computers & Industrial Engineering, 148, 106659, DOI: 10.1016/j.cie.2020.106659. (SCI/SCIE) (2020 Impact Factor: 5.431, Rank by JIF: 14/49, 21/112) (Coming soon)
  15. Chien, Chen-Fu and Chen, C.-C. (2020), “Data-Driven Framework for Tool Health Monitoring and Maintenance Strategy for Smart Manufacturing,” IEEE Transactions on Semiconductor Manufacturing, 33(4), 644-652, DOI: 10.1109/TSM.2020.3024284. (SCI/SCIE) (2020 Impact Factor: 2.874, Rank by JIF: 114/273, 30/50)
  16. Wang, H.-K. and Chien, Chen-Fu (2020), “An inverse-distance weighting genetic algorithm for optimizing the wafer exposure pattern for enhancing overall wafer effectiveness,” Applied Soft Computing, 94, 106430, DOI: 10.1016/j.asoc.2020.106430. (MOST 108-2634-F-007-001; MOST 109-2634-F-007-019; MOST 108-2218-E-035-007; MOST 108-2221-E-035-019-MY2; MOST 108-2634-F-007-008) (SCI/SCIE) (2020 Impact Factor: 6.725, Rank by JIF: 11/112, 24/139) (Coming soon)
  17. Khakifirooz, M., Fathi, M., and Chien, Chen-Fu (2020), “Partially Observable Markov Decision Process for Monitoring Multilayer Wafer Fabrication,” IEEE Transactions on Automation Science and Engineering, 1-12, DOI: 10.1109/TASE.2020.3017481. (SCI/SCIE) (2020 Impact Factor: 5.083, Rank by JIF:16/63) (Coming soon)
  18. Chien, Chen-Fu, Chen, Y.-H., and Lo, M.-F. (2020), “Advanced quality control of silicon wafer specifications for yield enhancement for smart manufacturing,” IEEE Transactions on Semiconductor Manufacturing, 33(4), 569-577, DOI: 10.1109/TSM.2020.3010200. (SCI/SCIE) (2020 Impact Factor: 2.874, Rank by JIF: 114/273, 30/50)
  19. Chien, Chen-Fu, Kuo, C.-J., and Yu, C.-M. (2020), “Tool allocation to smooth work-in-process for cycle time reduction and an empirical study,” Annals of Operations Research, 290(1), 1009-1033, DOI: 10.1007/s10479-018-3034-5. (SCI/SCIE) (2020 Impact Factor: 4.854, Rank by JIF: 21/84)
  20. Wang, C., Lim, M.K., Zhao, L., Tseng, M.-L. Chien, Chen-Fu and Lev, B. (2020), “The evolution of Omega-The International Journal of Management Science over the past 40 years: A bibliometric overview,” Omega, 93, 102098, DOI: 10.1016/j.omega.2019.08.005. (SSCI) (2020 Impact Factor: 7.084, Rank by JIF: 40/266, 5/84) (Coming soon)
  21. Chien, Chen-Fu, Dauzère-Pérès, S., Huh, W.T., Jang, T.J., and Morrison, J.R. (2020), “Artificial intelligence in manufacturing and logistics systems: algorithms, applications, and case studies,” International Journal of Production Research, 58(9), 2730-2731, DOI: 10.1080/00207543.2020.1752488. (SCI/SCIE) (2020 Impact Factor: 8.568, Rank by JIF: 4/49, 2/84, 3/50)
  22. Chien, Chen-Fu, Lin, Y.-S. and Lin, S.-K. (2020), “Deep reinforcement learning for selecting demand forecast models to empower Industry 3.5 and an empirical study for a semiconductor component distributor,” International Journal of Production Research, 58(9), 2784-2804, DOI: 10.1080/00207543.2020.1733125. (MOST 108-2634-F-007-001; MOST 109-2634-F-007-019; MOST 108-2634-F-007-008) (SCI/SCIE) (2020 Impact Factor: 8.568, Rank by JIF: 4/49, 2/84, 3/50)
  23. Jamrus, T., Wang, H.-K. and Chien, Chen-Fu (2020), “Dynamic coordinated scheduling for supply chain under uncertain production time to empower smart production for Industry 3.5,” Computers & Industrial Engineering, 142, 106375, DOI: 10.1016/j.cie.2020.106375. (MOST 108-2634-F-007-001; MOST 108-2221-E-035-019-MY2; MOST 108-2634-F-007-008) (SCI/SCIE) (2020 Impact Factor: 5.431, Rank by JIF: 14/49, 21/112) (Coming soon)
  24. Ku, C.-C., Chien, Chen-Fu and Ma, K.-T. (2020), “Digital transformation to empower smart production for Industry 3.5 and an empirical study for textile dyeing,” Computers & Industrial Engineering, 142, 106297, DOI: 10.1016/j.cie.2020.106297. (MOST 108-2634-F-007-001; MOST 108-2634-F-007-008) (SCI/SCIE) (2020 Impact Factor: 5.431, Rank by JIF: 14/49, 21/112) (Coming soon)
  25. Chien, Chen-Fu, Tseng, M.-L., Tan, R. R., Tan, K., and Velek, O. (2020), “Industry 3.5 for Sustainable Transition and Total Resource Management,” Resources, Conservation and Recycling, 152, 104482, DOI: 10.1016/j.resconrec.2019.104482. (SCI/SCIE) (2020 Impact Factor:10.204, Rank by JIF: 5/54, 11/274) (Coming soon)
  26. Khakifirooz, M., Chien, Chen-Fu, Fathi, M. and Pardalos, P. (2019), “Minimax Optimization for Recipe Management in High-Mixed Semiconductor Lithography Process,” IEEE Transactions on Industrial Informatics, 16(8), 4975-4985, DOI: 10.1109/TII.2019.2957145. (SCI) (2020 Impact Factor: 10.215, Rank by JIF: 1/49, 4/63, 3/112)
  27. Khakifirooz, M., Chien, Chen-Fu and Chen, Y.-J. (2019), “Dynamic Support Vector Regression Control System for Overlay Error Compensation with Stochastic Metrology Delay,” IEEE Transactions on Automation Science and Engineering, 17(1), 502-512, DOI: 10.1109/TASE.2019.2935179. (SCI) (2020 Impact Factor: 5.083, Rank by JIF:16/63)
  28. Fu, W., and Chien, Chen-Fu (2019), “UNISON Data-Driven Intermittent Demand Forecast Framework to Empower Supply Chain Resilience and An Empirical Study in Electronics Distribution,” Computers & Industrial Engineering, 135, 940-949, DOI: 10.1016/j.cie.2019.07.002. (MOST 108-2634-F-007-001; MOST 108-2634-F-007-008) (SCI) (2020 Impact Factor: 5.431, Rank by JIF: 14/49, 21/112)
  29. Tseng, M.-L., Chiu, A., Chien, Chen-Fu and Tan, R. (2019), “Pathways and Barriers to Circularity in Food Systems,” Resources, Conservation and Recycling, 143, 236-237. DOI: 10.1016/j.resconrec.2019.01.015 (SCI) (2020 Impact Factor:10.204, Rank by JIF: 5/54, 11/274)
  30. Khakifirooz, M., Chien, Chen-Fu and Fathi, M. (2019), “Compensating Misalignment Using Dynamic Random-Effect Control System: A Case of High-Mixed Wafer Fabrication,” IEEE Transactions on Automation Science and Engineering, 16(4), 1788-1799, DOI: 10.1109/TASE.2019.2894668. (SCI) (2020 Impact Factor: 5.083, Rank by JIF:16/63)
  31. Hu, Y.-F., Hou, J.-L. and Chien, Chen-Fu (2019), “A UNISON Framework for Knowledge Management of University–Industry Collaboration and an Illustration,” Computers & Industrial Engineering, 129, 31-43, DOI: 10.1016/j.cie.2018.12.072. (MOST 107-2634-F-007-002; MOST 107-2634-F-007-009) (SCI) (2020 Impact Factor: 5.431, Rank by JIF: 14/49, 21/112)
  32. Khakifirooz, M., Fathi, M. and Chien, Chen-Fu (2018), “Modelling and Decision Support System for Intelligent Manufacturing: An Empirical Study for Feedforward-Feedback Learning-Based Run-to-Run Controller for Semiconductor Dry-Etching Process,” International Journal of Industrial Engineering: Theory, Applications and Practice, 25(6), 828-842. (SCI) (2020 Impact Factor: 0.441, Rank by JIF: 49/50, 48/49)
  33. Huynh, N.-T., Haung, Y.-C. and Chien, Chen-Fu (2018), “A hybrid genetic algorithm with 2D encoding for the scheduling of rehabilitation patients,” Computers & Industrial Engineering, 125, 221-231, DOI: 10.1016/j.cie.2018.08.030. (MOST 107-2634-F-007-002; MOST105-2221-E-007-078-MY3; MOST 103-2218-E-007-023) (SCI) (2020 Impact Factor: 5.431, Rank by JIF: 14/49, 21/112)
  34. Hong, T.-Y., Chien, Chen-Fu, Wang, H.-K. and Guo, H.-Z. (2018), “A two-phase decoding genetic algorithm for TFT-LCD array photolithography stage scheduling problem with constrained waiting time,” Computers & Industrial Engineering, 125, 200-211, DOI: 10.1016/j.cie.2018.08.024. (MOST 105-2811-E-007-050; MOST 106-2811-E-007-042; MOST 107-2634-F-007-002) (SCI) (2020 Impact Factor: 5.431, Rank by JIF: 14/49, 21/112)
  35. Zheng, J.-N., Chien, Chen-Fu and Wu, J.-Z. (2018), “Multi-objective demand fulfillment problem for solar cell industry,” Computers & Industrial Engineering, 125, 688-694, DOI: 10.1016/j.cie.2018.05.006. (MOST 105-2622-E-468-004-CC3; MOST 105-2218-E-007-028; MOST105-2622-8-007-002-TM1, 106-2622-8-007-002-TM1) (SCI) (2020 Impact Factor: 5.431, Rank by JIF: 14/49, 21/112)
  36. Huynh, N.T. and Chien, Chen-Fu (2018), “A hybrid multi-subpopulation genetic algorithm for textile batch dyeing scheduling and an empirical study,” Computers & Industrial Engineering, 125, 615-627, DOI: 10.1016/j.cie.2018.01.005. (MOST 104-2622-E-007-002; MOST 107-2634-F-007-002; 106N536CE1) (SCI) (2020 Impact Factor: 5.431, Rank by JIF: 14/49, 21/112)
  37. Chen, Y.-J. and Chien, Chen-Fu (2018), “An empirical study of demand forecasting of non-volatile memory for smart production of semiconductor manufacturing,” International Journal of Production Research, 56(13), 4629-4643, DOI: 10.1080/00207543.2017.1421783. (MOST 103-2218-E-007-023; MOST 106-2218-E-007-024; MOST 106-2622-8-155-004-TM1) (SCI) (2020 Impact Factor: 8.568, Rank by JIF: 4/49, 2/84, 3/50)
  38. 王俊堯、陳暎仁、簡禎富（2018），「探針卡印刷電路板電鍍銅製程關鍵參數搜尋之資料挖礦架構與實證研究」，《品質學報》，25（6），361-379。 (EI)
  39. Chien, Chen-Fu, Wang, H.-K., and Fu, W. (2018), “Industry 3.5 Framework of an Advanced Intelligent Manufacturing System: Case Studies from Semiconductor Intelligent Manufacturing,” Management Review, 37, 105-121. (TSSCI)
  40. Khakifirooz, M., Chien, Chen-Fu and Chen, Y.-J. (2018), “Bayesian inference for mining semiconductor manufacturing big data for yield enhancement and smart production to empower industry 4.0,” Applied Soft Computing, 68, 990-999, DOI: 10.1016/j.asoc.2017.11.034. (MOST 105-2218-E-007-027; MOST 105-2622-8-007-002-TM1) (SCI) (2020 Impact Factor: 6.725, Rank by JIF: 11/112, 24/139)
  41. Chien, Chen-Fu, Dou, R. and Fu, W. (2018), “Strategic capacity planning for smart production: Decision modeling under demand uncertainty,” Applied Soft Computing, 68, 990-999, DOI: 10.1016/j.asoc.2017.06.001. (MOST 105-2218-E-007-027; MOST105-2622-8-007-002-TM1; MOST 103-2218-E-007-023) (SCI) (2020 Impact Factor: 6.725, Rank by JIF: 11/112, 24/139)
  42. Zhao, L., Chien, Chen-Fu, and Gen, M. (2018), “A Bi-objective Genetic Algorithm for Intelligent Rehabilitation Scheduling Considering Therapy Precedence Constraints,” Journal of Intelligent Manufacturing, 29(5), 973-988, DOI: 10.1007/s10845-015-1149-y. (NSC 102-2221-E-007-057-MY3; MOST 103-2218-E-007-023; MOST 104-2911-I-007-502) (SCI) (2020 Impact Factor: 6.485, Rank by JIF: 25/139, 10/50)
  43. Tseng, M.-L., Tan, R.-R., Chiu, A.-S.-F., Chien, Chen-Fu and Kuo, T.-C. (2018), “Circular economy meets industry 4.0: Can big data drive industrial symbiosis?” Resources, Conservation and Recycling, 131, 146-147, DOI: 10.1016/j.resconrec.2017.12.028. (SCI) (2020 Impact Factor:10.204, Rank by JIF: 5/54, 11/274)
  44. Chien, Chen-Fu and Huynh, N.-T. (2018), “An Integrated Approach for IC Design R&D Portfolio Decision and Project Scheduling and a Case Study,” IEEE Transactions on Semiconductor Manufacturing, 31(1), 76-86, DOI: 10.1109/TSM.2018.2792783. (SCI) (2020 Impact Factor: 2.874, Rank by JIF: 114/273, 30/50)

 

Plenary Lecture and Keynote Speech

  1. Keynote Speech, “Taiwan’s Efforts for Transformation via Industry 3.5 as Hybrid Strategy empowered by AI & Big Data Analytics for Smart Manufacturing,” Management Science and Industrial Engineering, April 3, 2021.(on line)
  2. Keynote Speech, “Industry 3.5 as Hybrid Strategy empowered by AI & Big Data Analytics and Collaborative Research with Micron Taiwan for Smart Manufacturing,” Winter Simulation Conference, USA, December 16, 2020. (on line)
  3. Keynote Speech, “Industry 3.5 to Empower Smart Semiconductor Manufacturing and Transformation of Other Industries in Taiwan,” Dagstuhl Seminar, Germany, November 2, 2020. (on line)
  4. APO Top Talk, “Industry 3.5 to Productivity 6.0: Forging ahead with Smart Manufacturing,” Asian Productivity Organization, Tokyo, Japan, August 17, 2020. (on line)
  5. Keynote Speech, “Humanizing Industrial Revolution via Industry 3.5 as a Hybrid Strategy to Optimize Human Capital as Force for Good in Business in Emergent Countries,” 2019 The Department of Science and Technology – National Research Council of the Philippines Annual Scientific Conference, Philippines, March 11, 2019.
  6. Keynote Speech, “Industry 3.5 as Hybrid Strategy to empower Disruptive Innovations for Smart Production for Emergent Countries,” IEOM2017, Bangkok, Thailand, March 5-7, 2019.
  7. Keynote Speech, “Industry 3.5 as Hybrid Strategy and Disruptive Innovation for Smart Production in Emerging Countries,” Taiwan-Indonesia Higher Education Forum, Nov. 1, 2018.
  8. Keynote Speech, “Industry 3.5 Disruptive Innovations via Artificial Intelligence and Big Data Analytics to Empower Intelligent Manufacturing,” 2018 IEEE CIS Summer School on Computational Intelligence for Human and Machine Co-Learning, Kaohsiung, Aug. 21, 2018.
  9. Keynote Speech, “ Industry 3.5” as Disruptive Innovations via Big Data Analytics and Artificial Intelligence to Empower Intelligent Manufacturing,” 2018 International Conference on intelligent Transportation and Logistics with Big Data, Shandong, China, July 13-15, 2018.
  10. Keynote Speech, “Big Data Analytics and Artificial Intelligence to Empower “Industry 3.5” as Disruptive Innovations for Smart Production,” IEEM2018, Hunan, China, May 18-21, 2018.

 

Conference Papers

  1. 陳欣妤，「台灣汽車產業塑膠射出成形排程問題之實證研究」，2021第十七屆台灣作業研究學會年會暨學術研討會，12月17日，台中，台灣。
  2. 黃亦柔、朱正軒、曾柏誠、馬綱廷、簡禎富(2021)，"An Empirical Study for Machine Tool Assembly Scheduling to Empower Smart Production for Industry 3.5,"，2021第十七屆台灣作業研究學會年會暨學術研討會，12月17日，台中，台灣。
  3. 蔡佩珊、黃沛敏、馬綱廷、簡禎富(2021)，「以紫式決策分析架構建構航太製造業供應商選擇決策支援系統」，2021中華民國科技管理學會年會暨論文研討會，11月26日，台中，台灣。
  4. 馬綱廷、曾冠程、鄭永誠、吳亭緯、簡禎富(2021)，「應用簡化群體演算法解決印刷電路板無等候線限制工站生產排程問題與實證研究」，2021中國工業工程學會年會暨學術研討會，11月20日，台南，台灣。
  5. 陳光源、陳瑛仁、簡禎富(2021)，“Data-driven Decision Support Framework for Yield Enhancement and An Empirical Study in Injection Molding Industry,”，2021中國工業工程學會年會暨學術研討會，11月20日，台南，台灣。
  6. 張仲凱、黃沛敏、 簡禎富(2021)，“Digital Transformation for Rapid Cost Estimation Process and an empirical study in Aerospace Manufacturing,”，2021中國工業工程學會年會暨學術研討會，11月20日，台南，台灣。
  7. 林咨萱、林妘襄、簡禎富(2021)，「基於DES製程工程資料分析建立PCB線寬品質改善架構」，2021中國工業工程學會年會暨學術研討會，11月20日，台南，台灣。
  8. Huang, P.-M., Shih, H.-W. and Chien, Chen-Fu (2021), “Digital transformation to empower the resource allocation and investment decision in semiconductor testing industry and an empirical study,” paper presented at the 2002 International Conference of Production Research, Jul. 14-18, Online.
  9. Hung, W.-T., Liao, T.-Y. and Chien, Chen-Fu (2021), “An Innovative Strategy to Simplify the Monitoring Rule Redefinition Process for Fault Detection and Classification using Convolution Neural Network,” paper presented at the 2002 International Conference of Production Research, Jul. 14-18, Online.
  10. 吳欣蓉、陳氏秋莊、簡禎富(2020)，“Fault Diagnosis Decision Support System Based on Rough Set Theory and an Empirical Study of IC Probe Card,”，中華民國品質學會第56屆年會暨2020國際品質管理研討會(ISQM)，11月7日，高雄，台灣。
  11. 潘縉緯、簡禎富(2020)，“Integrated CNN-LSTM neural network model for virtual metrology and an empirical study for semiconductor manufacturing,”，中華民國品質學會第56屆年會暨2020國際品質管理研討會(ISQM)，11月7日，高雄，台灣。
  12. 黃沛敏、施淮偉、陳暎仁、簡禎富(2020)，「晶圓測試之探針卡採購數位決策架構與實證研究」，2020第十六屆台灣作業研究學會年會暨學術研討會，11月13日，新竹，台灣。
  13. 洪瑋澤、陳暎仁、簡禎富(2020)，「基於CatBoost技術建構設備異常診斷決策支援系統之實證研究」，2020中國工業工程學會年會暨學術研討會，11月21日，雲林，台灣。
  14. 陳家安、馬綱廷、簡禎富(2020)，「應用混合式基因演算法於多重資源規畫之彈性零工式生產排程與實證研究」，2020中國工業工程學會年會暨學術研討會，11月21日，雲林，台灣。
  15. 高聖翔、簡禎富(2020)，「紫式數據驅動預測性保養決策架構於離散型感測器資料之錯誤預警系統: 臺灣 IC 封裝公司打線製程的實證研究」，2020中國工業工程學會年會暨學術研討會，11月21日，雲林，台灣。
  16. 辜建竣、簡禎富 (2020)，“A maximum entropy approach for stochastic inventory problem in automotive industry,”，2020中國工業工程學會年會暨學術研討會，11月21日，雲林，台灣。
  17. 施淮偉、黃沛敏、簡禎富 (2020)，「半導體製造之產能擴充策略以實現數位轉型」，2020中華民國科技管理學會年會暨論文研討會，12月11日，新竹，台灣。
  18. 陳昱錡、馬綱廷、簡禎富 (2020)，「表面黏著接合技術先進規劃與排程系統—以台灣全球衛星定位系統及穿戴式裝置公司為例」，2020中華民國科技管理學會年會暨論文研討會，12月11日，新竹，台灣。
  19. Liu, W.-R., Fu, W., Ma, K.-T. and Chien, Chen-Fu (2019), “Machine Learning for Electronic Design Automation Tool Forecast for IC Design Project Capacity Management,” The 20th Asia Pacific Industrial Engineering And Management Systems, Dec. 2-5, Kanazawa city, Japan.
  20. Liu, P.-H. and Chien, Chen-Fu (2019), “A hybrid genetic algorithm for production scheduling in steel making Industry: an empirical study,” The 20th Asia Pacific Industrial Engineering And Management Systems, Dec. 2-5, Seattle, Kanazawa city, Japan.
  21. Wang, C.-Y., Chien, Chen-Fu and Chen, Y.-J. (2019), “A Data-Driven Framework to Live Weight Estimation and Prediction in Commercial Broiler Industry,” The 20th Asia Pacific Industrial Engineering And Management Systems, Dec. 2-5, Seattle, Kanazawa city, Japan.
  22. 簡禎富、辜建竣(2019)，「以規則式演算法應用於紡織業重新染色訂單之機台稼動率最大化」，中國工業工程學會108年度年會暨學術研討會論文集，11月23日，台北，台灣。
  23. 簡禎富、林聖凱(2019)，「基於集成學習與感測器建構工具機銑削效率優化模式-以航太製造業為例」，中國工業工程學會108年度年會暨學術研討會論文集，11月23日，台北，台灣。
  24. 洪瑋澤、馬綱廷、蔡其展、簡禎富(2019)，「應用紫式決策分析法建構(乾)蝕刻機台適合度指派問題與實證研究-以觸控面板廠為例」，中國工業工程學會108年度年會暨學術研討會論文集，11月23日，台北，台灣。
  25. Chen, C.-A., Kuo, H.-A., Ma, K.-T., and Chien, Chen-Fu (2019), “A Human-experience Based Intelligent Scheduling Framework to Empower Industry 3.5: Implementation of Simulated Annealing Genetic Algorithm in Multi Auxiliary Resource Planning for Job Shop Scheduling in Multinational Technology Manufacturing,” Annual Meeting of the Operations Research Society of Taiwan, Nov. 8, Taoyuan, Taiwan.
  26. 盧臆云、陳紀航、馬綱廷、簡禎富(2019)，「應用工業3.5策略建構染色製程異常診斷之資料挖礦架構與實證研究」，中華民國品質學會第55屆年會暨2019國際品質管理研討會(ISQM)，11月2日，桃園，台灣。
  27. 簡禎富、王俊堯、陳暎仁(2019)，「應用資料分析架構於改善雞隻規模飼養下的重量估計精準度」，
    中華民國品質學會第55屆年會暨2019國際品質管理研討會(ISQM)，11月2日，桃園，台灣。
  28. 劉柏漢、洪子晏、簡禎富(2019)，「應用混合式基因演算法之煉鋼排程最佳化及實證研究」，
    中華民國品質學會第55屆年會暨2019國際品質管理研討會(ISQM)，11月2日, 桃園，台灣。
  29. Chen, Y.-C., Chien, Chen-Fu, and Wang, C.-Y. (2019), “Empirical Study of Multi-Objective Parameter Optimization in Wire Bonding Process,” International Microsystems, Packaging, Assembly and Circuits Technology Conference, Oct. 23-25, Taipei, Taiwan.
  30. Ma, K.-T. and Chien, Chen-Fu (2019), “A Two Phase Framework of Project Portfolio Selection and an Empirical Study in The Integrated Circuit Design Company,” INFORMS Annual Meeting, Oct. 20-23, Seattle, USA.
  31. Tran, T. Trang. and Chien, Chen-Fu (2019), “An Improved Combination Run-to-Run Control Based on Adaptive K Means Clustering and Generalized Extended State Observer for Industry 3.5,” The 49th International Conference on Computer & Industrial Engineering, Oct. 18-21, Beijing, China.
  32. Lin, S.-K., Fu, W., Lin, Y.-S. and Chien, Chen-Fu (2019), "Generative Adversarial Network with Autoencoder for Semiconductor Demand Forecast to Empower Industry 3.5," The 49th International Conference on Computer & Industrial Engineering, Oct. 18-21, Beijing, China.
  33. Yang, Y.-H., Chen, Y.-J. and Chien, Chen-Fu (2019), "Constructing a Health Detection Mechanism of APC for Industry 3.5 and Semiconductor Manufacturing Intelligence," The 49th International Conference on Computer & Industrial Engineering, Oct. 18-21, Beijing, China.
  34. Hsieh, J.-C., Ma, K.-T., Chien, Chen-Fu and Chiu, M.-C. (2019), “An Empirical Study of Constructing Decision Support for Dyeing Machine Groups Allocation Problem,” International Symposium on Industry3.5 and Intelligent Manufacturing, Sep. 25-27, Hsinchu, Taiwan.
  35. Hsu, K,-Z., Liao, E.,T.-Y., Chen, Y.-J., Chien, Chen-Fu (2019), “Fault Detect Classification Multi-Variate Analysis for Feature Selection and Window Screen Automation to Empower Industry 3.5,” International Symposium on Industry3.5 and Intelligent Manufacturing, Sep. 25-27, Hsinchu, Taiwan.
  36. Yang, Y.-H., Chen, Y.-J., Chien, Chen-Fu (2019), “Constructing a health detection mechanism of APC for industry 3.5 and semiconductor manufacturing intelligence,” International Symposium on Industry3.5 and Intelligent Manufacturing, Sep. 25-27, Hsinchu, Taiwan.
  37. Tran, T. Trang. And Chien, Chen-Fu (2019), “A Concept Framework for Run to Run Control Tool Health Monitoring Prediction Based on Artificial Intelligent Agent and GARCH Model in Industry 3.5”, International Symposium on Industry 3.5 and Intelligent Manufacturing, Sep.25-27, Hsinchu, Taiwan.
  38. Tran, T. Trang. And Chien, Chen-Fu (2019), “An comprehensive Application of IoT for Vietnam Tea Manufacturing”, International Symposium on Industry 3.5 and Intelligent Manufacturing, Sep.25-27, Hsinchu, Taiwan.
  39. Sackpraseuth, A., Chen, C.-C., and Chien, Chen-Fu (2019), “Big Data Analysis and Algorithm Investigation for YouTube Study,” International Symposium on Industry3.5 and Intelligent Manufacturing, Sep. 25-27, Hsinchu, Taiwan.
  40. Li, B., Ma, K.-T., Fu, W. and Chien, Chen-Fu (2019), “Intelligent Parameters Determination with Particle Swarm Optimization in Printed Circuit Board Hole Positioning for Smart Production,” International Symposium on Industry3.5 and Intelligent Manufacturing, Sep. 25-27, Hsinchu, Taiwan.
  41. Hsieh, J.-C., Ma, K.-T., Chien, Chen-Fu and Chiu, M.-C. (2019), “An Empirical Study of Constructing Decision Support for Dyeing Machine Groups Allocation Problem,” Annual International Conference for Chinese Scholars in Industrial Engineering, Sept. 20-22, Dalian, China.
  42. Fu, W., Chien, Chen-Fu (2019), “Data Analytics for Customer Behavior Extraction for Semiconductor Demand Planning to Empower Industry 3.5,” Annual International Conference for Chinese Scholars in Industrial Engineering (CSIE 2019), Sep. 20-22, Dalian, China.
  43. Ling, Y.-M., Chen, Y.-J. and Chien, Chen-Fu (2019), “A Measurement System Analysis Research Framework For Measurement System and Empirical Study with Automation Time-domain Measurements of Probe Card in Semiconductor Manufacturing,” Joint Symposium of eMDC2019 and ISSM2019, Sep. 6, Hsinchu, Taiwan.
  44. Tsai, Y.-C., Chien, Chen-Fu, Chen, Y.-J. and Hsieh, M.-K. (2019), “Optimizing Chiller Switch-on Time Interval for Chiller Power Consumption Saving via Big Data Analytics and Machine Learning Framework,” Joint Symposium of eMDC2019 and ISSM2019, Sep. 6, Hsinchu, Taiwan.
  45. Chien, Chen-Fu and Lan, Y.-B. (2019), “A Deep Reinforcement Learning Agent for Minimizing Makespan for Dynamic Parallel Machine Scheduling and a Case Study,” International Conference on Automation Science and Engineering, Aug. 22-26, Vancouver, Canada."
  46. 唐禮真、簡禎富(2019)，「應用貝葉斯網絡建構探針卡異常處理決策系統」，第十一屆粵港澳大灣區博士生南山學術論壇暨第九屆兩岸清華研究生學術論壇論文集，6月10 - 13日, 深圳，中國。
  47. 傅文翰、簡如謙、林聖凱、簡禎富(2019)，「數據驅動之電子供應商管理庫存需求風險分析」，第十一屆粵港澳大灣區博士生南山學術論壇暨第九屆兩岸清華研究生學術論壇論文集，6月10 - 13日, 深圳，中國。
  48. Zheng, J.-N., Chien, Chen-Fu and Lin, T.-Y. (2019), “Real Time Electronic Design Automation (EDA) Scheduling System in IC Design Industry,” Proceedings of the 2019 International Conference on Management Science and Industrial Engineering, May. 24-26, Phuket, Thailand.
  49. Zheng, J.-N., Chien, Chen-Fu, Lin, T.-Y., Liu, S.-W. and Huang, W.-T. (2019), “Electronic Design Automation (EDA) Scheduling System in IC Design Industry,” International Conference on Smart Manufacturing, Industrial & Logistics Engineering and International Symposium on Semiconductor Manufacturing Intelligence, Apr. 19-21, Hangzhou, China.
  50. Ling, Y.-M., Chen, Y.-J. and Chien, Chen-Fu (2019), “Using statistical indicators to monitor and predict the Probe Card Measurement Machine abnormal behavior,” International Conference on Smart Manufacturing, Industrial & Logistics Engineering and International Symposium on Semiconductor Manufacturing Intelligence, Apr. 19-21, Hangzhou, China.
  51. Chen, C.-C., Ting, W.-J. and Chien, Chen-Fu (2019), “Big Data Analytics for Tool Health Monitoring in Panel Industry,” International Conference on Smart Manufacturing, Industrial & Logistics Engineering and International Symposium on Semiconductor Manufacturing Intelligence, Apr. 19-21, Hangzhou, China.
  52. Tang, L., Fu, W., Ma, K.-T., Chien, Chen-Fu and Chen, Y.-J. (2019), “Using Bayesian Network to Construct Probe Card Exception Handling Decision Support System for Semiconductor Testing with a Case Study,” International Conference on Smart Manufacturing, Industrial & Logistics Engineering and International Symposium on Semiconductor Manufacturing Intelligence, Apr. 19-21, Hangzhou, China.
  53. Chen, Y.-C., Chien, Chen-Fu, Chen, Y.-Y. and Wang C.-Y. (2019), “A Data Mining Approach for Optimizing Manufacturing Parameters of Wire Bonding Process in IC Packaging Industry and Empirical Study,” International Conference on Smart Manufacturing, Industrial & Logistics Engineering and International Symposium on Semiconductor Manufacturing Intelligence, Apr. 19-21, Hangzhou, China.
  54. Ku, C.-C. Ma, K.-T. and Chien, Chen-Fu (2019), “A Semidefinite Programming Model for Dyeing Machines Scheduling of Textile Industry,” International Conference on Smart Manufacturing, Industrial & Logistics Engineering and International Symposium on Semiconductor Manufacturing Intelligence, Apr. 19-21, Hangzhou, China.
  55. Kuo, H.-A. Ponsignon, T., Ehm, H. and Chien, Chen-Fu (2019), “Overall Supply Chain Effectiveness (OSCE) for Demand and Capacity Incorporation in Semiconductor Supply Chain Industry,” International Conference on Smart Manufacturing, Industrial & Logistics Engineering and International Symposium on Semiconductor Manufacturing Intelligence, Apr. 19-21, Hangzhou, China. (Best Student Paper Award)
  56. Lin, Y.-S. Fu, W. and Chien, Chen-Fu (2019), “A rolling horizon supply chain management model under supply and demand uncertainty: A testbed in semiconductor component distributor,” International Conference on Smart Manufacturing, Industrial & Logistics Engineering and International Symposium on Semiconductor Manufacturing Intelligence, Apr. 19-21, Hangzhou, China.
  57. Fu, W., Ma, K.-T. and Chien, Chen-Fu (2019), “Data Mining for IC Design Project Revenue Management to Enhance R&D Effectiveness,” International Conference on Smart Manufacturing, Industrial & Logistics Engineering and International Symposium on Semiconductor Manufacturing Intelligence, Apr. 19-21, Hangzhou, China.
  58. Hsu, C., Kuo, H.-A., Chien, J.-C., Fu, W., Ma, K.-T. and Chien, Chen-Fu (2019), “A Machine Learning based Intelligent Agent for Human Resource Planning in IC Design Service Industry,” International Conference on Industrial Engineering and Operations Management, Mar.5-7, Bangkok, Thailand.
  59. Ku, C.-C. and Chien, Chen-Fu (2018), “Implementation of Business Process Reengineering for Operations in Textile Dyeing Scheduling,” International Conference on Computers and Industrial Engineering, Dec. 2-5, Auckland, New Zealand.
  60. Hong, T.-Y. and Chien, Chen-Fu (2018), “A Simulation-based Scheduling and Dispatching System for TFT-LCD Array Manufacturing to Reduce Total Tardiness and Cycle Time,” International Conference on Computers and Industrial Engineering, Dec. 2-5, Auckland, New Zealand.
  61. 丁韋如、陳家正、簡禎富(2018)，「利用偏最小平方迴歸與指數加權移動平均管制圖建構預測性維修策略—以化學氣相沉積機台為例」，2018中華民國科技管理學會年會暨論文研討會論文集，11月30日，高雄，台灣。
  62. 唐禮真、陳暎仁、簡禎富(2018)，「應用貝氏網路建構半導體測試之探針卡異常處理決策支援模式與實證研究」，中華民國品質學會第54屆年會暨2018國際品質管理研討會論文集，11月3日，台中，台灣。
  63. 林妘襄、傅文翰、簡禎富(2018)，「需求預測決策支援系統應用於半導體零組件供應商之實證研究」，2018海峽兩岸科管年會論文集，11月2日，台北，台灣。
  64. Chen, C.-A., Wang, C.-Y., Chien, Chen-Fu (2018), “A Wire Bond Equipment Maintenance Framework with Case Study,” Institute of Industrial and Systems Engineers Asian Conference & Chinese Institute of Industrial Engineers Annual Conference, Oct.18-20, Taichung, Taiwan.
  65. Khakifirooz, M., Chien, Chen-Fu and Fathi, M. (2018), “A System Dynamic Approach for Product Life-cycle Affected by Industry 4.0,” Institute of Industrial and Systems Engineers Asian Conference & Chinese Institute of Industrial Engineers Annual Conference, Oct.18-20, Taichung, Taiwan.
  66. Hsu, C., Ma, K.-T. and Chien, Chen-Fu (2018), “A Human Resource Assessment decision support system based on Machine Learning for standardization project management,” Institute of Industrial and Systems Engineers Asian Conference & Chinese Institute of Industrial Engineers Annual Conference, Oct.18-20, Taichung, Taiwan.
  67. Fu, W., Ma, K.-T., Chien, Chen-Fu (2018), “Project Revenue Forecasting with Support Vector Regression for IC Design Service and an Empirical Study,” Institute of Industrial and Systems Engineers Asian Conference & Chinese Institute of Industrial Engineers Annual Conference, Oct.18-20, Taichung, Taiwan.
  68. Wang, C.-Y. and Chien, Chen-Fu (2018), “a novel approach to body weight estimation in commercial broiler production,” the 3rd international agriculture innovation conference, Oct. 12-13, Beijing, China.
  69. Chien, Chen-Fu, Chen, Y.-J., Han, Y.-T., Hsieh, M.-K., Lee, C.-M., Shih, T., Wu, M.-Y., Yang, W.-W. (2018), “AI and Big Data Analytics for Wafer Fab Energy Saving and Chiller Optimization to Empower Intelligent Manufacturing,” 2018 e-Manufacturing & Design Collaboration Symposium, Sep. 7, Hsinchu, Taiwan.
  70. Fu, W., Chien, Chen-Fu and Lin, Z.-H. (2018), “A Hybrid Forecasting Framework with Neural Network and Time-Series Method for Intermittent Demand in Semiconductor Supply Chain,” IFIP International Conference on Advances in Production Management Systems, Aug. 26-30, Seoul, Korea.
  71. Chien, Chen-Fu, Lin, Y.-S. and Tan, Y.-S. (2018), “Constructing a Metrology Sampling Framework for In-line Inspection in Semiconductor Fabrication,” IFIP International Conference on Advances in Production Management Systems, Aug. 26-30, Seoul, Korea.
  72. Kuo, H.-A. and Chien, Chen-Fu (2018), “Using Auxiliary Capacity Planning Strategy Genetic Algorithm for TFT-LCD Photolithography Scheduling to Empower Industry 3.5,” IEEE International Conference on Automation Science and Engineering, Aug. 20-24, Munich, Germany.
  73. Khakifirooz, M., Cayard, D., Chien, Chen-Fu, and Fathi, M. (2018), “A System Dynamic Model for Implementation of Industry 4.0,” International Conference on System Science and Engineering, Jun. 28-30, Taipei, Taiwan.
  74. Wang, C.-Y., Chuang Y.-Y., Chen, Y.-J., and Chien, Chen-Fu (2018), “Using Bayesian Network for Estimating Cycle Time Evolution to Empower Smart Production in Printed Circuit Board Manufacturing with an Empirical Study,” International Symposium on Semiconductor Manufacturing Intelligence, Feb. 7-9, Hsinchu, Taiwan. (Best Paper Award)

 

 

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