Dr. Chien-Chih Wang
Professor 
Department of Industrial Engineering and Management
Ming Chi University of Technology
84 Gung-Juan Road
Taishan District, New Taipei City, 243303, Taiwan
Tel. +886-2-29089899 ext. 3106
Total number of visitors: アクセスカウンター

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Dr. Chien-Chih Wang is a professor of Industrial Engineering and Management at Ming Chi University of Technology (MCUT). With an interdisciplinary educational background, he earned his B.S. in Applied Mathematics from National Chung Hsing University in 1992, followed by an M.S. in Statistics from National Cheng Kung University in 1994. He completed his Industrial Engineering and Management doctoral studies at Yuan Ze University in 2001. 
     Dr. Wang has professional academic and practical experience in integrated data analysis and intelligent decision-making. He has led research in many fields, including process quality optimization, Lean Six Sigma management, machine vision inspection applications, and service systems in medical decision-making. Over the years, he has obtained research funding from various sources, including the National Science and Technology Council of Taiwan and collaborative companies in the industry.
    As an outstanding practitioner of academic research aligned with practical application and technology use, Dr. Wang has published many papers, with over 80 articles in peer-reviewed journals, and has executed over 70 industry-academia collaboration projects. His contributions are not only confined to the academic and practical realm; he is also a devoted member of several prestigious associations, including the China Institute of Industrial Engineers (CIIE), the China Society for Quality (CSQ), the Electronic Business Management Society(EBMS) and the Taiwan Reliability Technology Association (TRTA). 
EDUCATION
Ph.D., Industrial Engineering and Management, Yuan Ze University, Taiwan
M.S.,  Statistics, National Cheng Kung University, Taiwan
B.S.,   Applied Mathematics, National Chung Hsing University, Taiwan
EXPERIENCE
  • 2012-Present  Professor, Industrial Engineering and Management Department, Ming Chi University of Technology
  • 2021-Present, Topical Advisory Panel Member, Processes (SCI, Published by MDPI)
  • 2022-Present, Editorial Board Members, Computer Vision and Machine Learning
  • 2014-Present  Area Editor, IEMS Journal (EI, Published by APIEMS)
  • 2007-Present  Area Editor, Journal of Quality (EI, Published by Chinese Society for Quality)
  • 2004-Present  Lifetime Member, Chinese Institute of Industrial Engineers
  • 2001-Present  Lifetime Member, Chinese Society for Quality
  • 2020-2021, Topics Editorial Board, Processes (SCI, Published by MDPI)
  • 2021-2022 Special Issue Editor, Applied Sciences (SCI)
  • 2020-2021 Special Issue Editor, Processes (SCI)
  • 2015-2017 Director of the Office of Institutional Research, Ming Chi University of Technology
  • 2009-2016 Director, Education and Training Committee, Electronic Business Management Society, Taiwan
  • 2004-2012 Associate Professor, Industrial Engineering and Management Department, MCUT
  • 2006-2009 Chairman, Industrial Engineering and Management Department, MCUT
  • 2004-2005 Director, Innovation and Incubation Center, MCUT
  • 2001-2004  Assistant Professor, Industrial Engineering and Management Department, MCUT
  • 1997-2001   Teaching and Research Assistant, Yuan Ze University, Taiwan
  • 1995-1996   Second Lieutenant, Chinese Air Force of Taiwan
  • 1992-1994   Teaching and Research Assistant, National Cheng Kung University, Taiwan

SPECIALTY AREAS
Data analysis and intelligent decision making, Process quality optimization, Lean six sigma management, Machine vision inspection and application, Service system, and medical decision making

PROFESSIONAL MEMBERSHIPS AND HONORS
  • Outstanding Paper Award, The 12th International Conference on Environment and Industrial Innovation (2022)
  • Outstanding Paper Award, The 3rd IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (2021)
  • Outstanding Paper Award, International Conference on Intelligent Production and Operations (2020)
  • Outstanding Paper Award, The 17th ANQ Congress (2019)
  • Quality Award for Individuals, Chinese Society for Quality (2017)
  • Outstanding Special Talents Award from the National Science Council, Taiwan (2010-2019)
  • Utechzone Machine Vision Prize (2006)
  • Outstanding Paper Award, Chinese Institute of Industrial Engineers (2005)
  • Quality Paper Award, Chinese Society for Quality (2002, 2004)
  • Outstanding Ph.D. Student Award, Yuan Ze University, Taiwan (2001)
  • Lifetime Member, Chinese Institute of Industrial Engineers
  • Lifetime Member, Chinese Society for Quality
  • Lifetime Member, Chinese Society of Electronic Business Management
  • Member, Chinese Society for Six Sigma
SPONSORED RESEARCH AND PROJECTS 
  1. icon_new.gifDevelopment and Application of Deep Fusion of Diffusion Models and Multimodal Learning for Quality Prediction and Anomaly Detection in Dynamic Manufacturing Processes, (114-2221-E-131-037-MY2), 2025/08/01-2027/07/31
  2. icon_new.gifAI Powers Smart Dining: From Clearing Tables to Gathering Feedback, Creating the Next Generation of On-Site Service Experiences(114-MEA-8-131-001-), 2025/04/02-2025/11/20
  3. icon_new.gifReliability Science and Technology Service Industry-Academia Alliance(1/3) (115-2622-8-131-002-TE3), 2026/02/01-2027/01/31
  4. icon_new.gifDevelopment and Application of an AI-Integrated Intelligent Decision Platform for Root Cause Analysis and Quality Prediction in Aluminum Extrusion Processes(114-2622-E-131-017), 2025/11/01-2026/10/31
  5. Development of an Intelligent Decision-Making System for Multi- Machine Quality Estimation, Prediction Modeling, and Model Capability Assessment with Practical Applications(I) (113-2221-E-131-032), 2024/08/01-2025/07/31
  6. Development and Application of Virtual Quality Prediction for Process Optimization of Mannheim Potassium Sulphate (112-2622-E-131 -007), 2023/11/01-2024/10/31
  7. Development and application of intelligent decision techniques for optimizing production times in the abrasive industry (111-2622-E-131 -004), 2022/11/01-2023/1/31
  8. The realization and application in developing a dynamic and intelligent service model for both determined and no order demand forecasting (MOST 110-2221-E-131-027-MY3), 2021/8/01-2024/7/31.
  9. Development of an intelligent decision-making model and implementation for quality optimization of Tray process equipment(MOST 110-2622-E-131-008), 2021/06/01-2022/05/31
  10. Development of intelligent detection and pattern recognition models for quality optimization in dyeing and finishing factory: a case study of dyeing cylinder process(MOST 108-2622-E-131-003-CC3), 2019/06/01-2020/05/31
  11. Development and application of evaluation and prognostic health management service system for postural stability using signal data-driven modeling (MOST 107-2221-E-131-026-MY3), 2018/8/01-2021/7/31.
  12. Development and application of circular economy innovation service model in the E-garden platform, (MOST107-2622-E-131-011-CC3), 2018/11/01-2019/10/31.
  13. Development of machine vision inspection and quality monitoring system in process optimization for power transformer (MOST107-2622-E-131-009-CC3), 2018/06/01-2019/05/31.
  14. Big data analysis and intelligence decision support system for fleet management (2/3)(MOST 107-2622-8-131-001-TM1), 2018/2/1-2019/1/31. (co-principal investigator)
  15. Taiwan’s e-Scooter Battery BMS Design for Mileage Enhancement and Life Improvement(3/3), (MOST 107-2632-E-131-002), 2018/8/1-2019/7/31. (co-principal investigator)
  16. Development of innovative service model for foreign labor APP platform in Southeast Asia (MOST106-2622-E-131-007-CC3), 2017/11/01-2018/10/31.
  17. Big data analysis and intelligence decision support system for fleet management (1/3)(MOST 106-2622-8-131-001-TM1), 2017/2/1-2018/1/31. (co-principal investigator)
  18. Taiwan’s e-Scooter Battery BMS Design for Mileage Enhancement and Life Improvement(2/3), (MOST 106-2632-E-131-003-), 2017/8/1-2018/7/31. (co-principal investigator)
  19. Taiwan’s e-Scooter Battery BMS Design for Mileage Enhancement and Life Improvement(1/3), (MOST 105-2632-E-131-003-), 2016/8/1-2017/7/31. (co-principal investigator)
  20. Development and application of multi-dimensional balance capability index (MOST 104-2221-E-131-005-MY3), 2015/8/01-2018/7/31.
  21. Development a Quality Evaluation Model of Prediction and Preventive Maintenance for Multi-Diseases, National Science Council, Taiwan (NSC 101-2221-E-131-030-MY3), 2012/08/01-2015/7/31
  22. Industrial Statistic and Quality Practices, Formosa Ha Tinh Steel Corporation, 2012-2013
  23. Development of the Intelligence Image Enhancement System for Defect Detection, National Science Council, Taiwan, (NSC 99-2628-E-131-025-, NSC 100-2628-E- 131-001-), 2010/08/01-2012/07/31
  24. Process Improvement Using Quality Technology and Data Analysis, Nan-Ya Plastics Corporation, 2010-2011
  25. Build the Planning and Construction of the Guidelines, GCOM Information Service Co., Ltd., 2010
  26. The Development of Non-Template Matching Techniques for Color-Filter Defect Quality Detection Using Machine Vision (I), National Science Council, Taiwan, (NSC 98-2221-E-131-019-), 2009/08/01-2010/07/31
  27. Process Optimization Using Factorial Experimental Design and Response Surface, Bourns, Electronics Co., Ltd., 2006, 2009
  28. SPC and DOE Project, Delta Electronics Industrial Co., Ltd., 2007
  29. Experimental Design for Process Improvement, Delta Electronics, 2007
  30. Development a Wafer and Wafer Die Surface Defect Inspection and Quality Classification System Using Machine Vision, National Science Council, Taiwan, (NSC 95-2221-E- 131-024-MY3), 2006/08/01-2009/07/31
  31. The Analysis Method of Reduce Etching Slight Pit Fraction Nonconforming, National Science Council, Taiwan, (NSC 95-2622-E-131-006-CC3), 2006/11/01-2007/10/31
  32. Study of Diagnostic and Monitoring Technology for DRAM Process Quality, Nan-Ya Technology Corporation, 2006
  33. The Study of Multivariate Variable Control Chart Based on Wavelet Transform and Reconstruct (I), National Science Council, Taiwan, (NSC 94-2213-E-131-009-), 2005/08/01-2006/07/31
  34. The Study of LCD Surface Defects Detection and Classification Based on Automatic Visual Inspection System (II), National Science Council, Taiwan, (NSC 93-2213- E-131-005- ), 2004/08/01-2005/07/31
  35. The Study of LCD Surface Defects Detection and Classification Based on Automatic Visual Inspection System (I), National Science Council, Taiwan, (NSC 92-2213-E -131-011- ), 2003/08/01-2004/07/3,
  36. The Study of Selection Optimal Feature Variables Based on Automatic Visual Inspection System (II), National Science Council, Taiwan, (NSC 91-2213-E-131-005-) , 2002/08/01- 2003/07/31
  37. Real-Time X-Ray Inspection Image Analysis III), National Science Council, Taiwan, (NSC 91-2623-7-131-001- ), 2002/01/01-2002/12/31
  38. The Study of Selection Optimal Feature Variables Based on Automatic Visual Inspection System (I), National Science Council, Taiwan, (NSC 90-2218-E-131-012-), 2001/12/01- 2002/07/31
REFEREED PUBLICATIONS
  1. 45165cff3023cf686aa650593993168b.gif Wang, C.-C., Ye, T.-Y., & Chien, C.-H. (2026). Evidence-driven event-triggered closed-loop decision-support architecture for real-time weight stabilization in IC-tray injection molding. The International Journal of Advanced Manufacturing Technology. (in press)
  2. dc6af8a1dc9599e64d08f2f3b14c8a4d.gif Wang, C.-C., Hsu, Y.-T., & Kuo, H.-Y. (2026). Enhancing supply chain resilience in textile SMEs: A human-centric customer-to-manufacturer framework using public e-commerce data. Journal of Theoretical and Applied Electronic Commerce Research, 21(4), 123. https://doi.org/10.3390/jtaer21040123
  3. 972c286eeb788716b2338c5a2dcb1328.gif Wang, C.-C., Shen, H.-G., & Chien, C.-H. (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. https://doi.org/10.1007/s00170-026-17673-x
  4. b9e95f67f7b157824430a5e80cfff025.gif Wang, C.-C., & Wei, C.-K. (2026). A two-stage transfer learning framework for quality prediction under data scarcity: An industrial case study in copper foil manufacturing. The International Journal of Advanced Manufacturing Technology, 142, 5191–5211. https://doi.org/10.1007/s00170-025-17317-6
  5. Lin, T.-Y., Wu, S.-P., Wang, C.-C., Lin, K.-Z., Cheng, Y.-H., Shen, W.-Y., Chuang, C.-H., & Chen, M.-H. (2025). A case study on strategic digital transformation in traditional manufacturing. IIAI Letters on Business and Decision Science, 5, LBDS366. https://doi.org/10.52731/lbds.v005.366
  6. Wang, C.-C. (2025). Dynamic dual-phase forecasting model for new product demand using machine learning and statistical control. Mathematics, 13(10), 1613.
  7. Wang, C.-C., & Chien, C.-H. (2025). Machine learning for industrial optimization and predictive control: A patent-based perspective with a focus on Taiwan’s high-tech manufacturing. Processes, 13(7), 2256.
  8. Zhou, X., Chen, Z., & Wang, C.-C. (2025). Empirical analysis of digital new-quality productive forces driving sustainable industrial structural upgrading in China. Sustainability, 17(22), 9996.
  9. 吳勝彬, 林泰宇, & 王建智. (2025). 雙鑽石理論在學校教育與產業訓練教學設計中的應用. 臺灣教育評論月刊, 14(11), 149–154.
  10. Hung, C.-Y., Wang, C.-C., Wu, S.-P., & Lin, T.-Y. (2024). A case study on the internal process re-engineering of traditional industry from a resource-based perspective. IIAI Letters on Business and Decision Science, 4, LBDS297. https://doi.org/10.52731/lbds.v004.297
  11. Hung, C.-Y., & Wang, C.-C. (2024). An approach for multi-item product sales forecasting based on advancing the BCG matrix with matrix-clustering and time modeling techniques. Systems, 12(10), 388.
  12. Wang, C.-C. (2024). T2-LSTM-based AI system for early detection of motor failure in chemical plants. Mathematics, 12(17), 2652.
  13. 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. https://doi.org/10.52731/lbds.v004.254
  14. 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.
  15. Chien, C.-H., Trappey, A. J. C., & Wang, C.-C. (2023). ARIMA-AdaBoost hybrid approach for product quality prediction in advanced transformer manufacturing. Advanced Engineering Informatics, 57, 102055.
  16. 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.
  17. Kuo, C.-H., & Wang, C.-C. (2023). Detecting dyeing machine entanglement anomalies by using time series image analysis and deep learning techniques for dyeing-finishing process. Advanced Engineering Informatics, 55, 101852.
  18. Wang, C.-C., & Chang, Y.-S. (2023). Dynamic acceptance sampling strategy based on product quality performance using examples from IC test factory. Mathematics, 11(13), 2872.
  19. 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.
  20. 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.
  21. Hung, C.-Y., Wang, C.-C., Lin, S.-W., & Jiang, B.-C. (2022). An empirical comparison of the sales forecasting performance for plastic tray manufacturing using missing data. Sustainability, 14(4), 2382.
  22. Wang, C.-C. (2022). Special issue on recent advances in machine learning and applications. Processes, 10(11), 2411.
  23. Wang, C.-C., & Li, Y.-H. (2022). Machine-learning-based system for the detection of entanglement in dyeing and finishing processes. Sustainability, 14, 8575.
  24. Wang, C.-C., Chang, H.-T., & Chien, C.-H. (2022). Hybrid LSTM-ARMA demand forecasting model based on error compensation for integrated circuit tray manufacturing. Mathematics, 10(13), 2158.
  25. 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.
  26. Jen, C.-H., & Wang, C.-C. (2021). Real-time process monitoring based on multivariate control chart for anomalies driven by frequency signal via sound and electrocardiography cases. Processes, 9(9), 1510.
  27. Lu, C.-J., Lee, T.-S., Wang, C.-C., & Chen, W.-J. (2021). Improving sports outcome prediction process using integrating adaptive weighted features and machine learning techniques. Processes, 9(9), 1563.
  28. Wang, C.-C., Chien, C.-H., & Trappey, A. J. C. (2021). On the application of ARIMA and LSTM to predict order demand based on short lead time and on-time delivery requirements. Processes, 9(7), 1157.
  29. Wang, C.-C., Chen, C.-H., & Jiang, B.-C. (2021). Shock absorption characteristics and optimal design of corrugated fiberboard using drop testing. Applied Sciences, 11(13), 5815.
  30. Zhu, B., Tian, S.-Q., & Wang, C.-C. (2021). Improving the sustainability effectiveness of traditional arts and crafts using supply-demand and ordered logistic regression techniques in Taiyuan, China. Sustainability, 13(21), 11725.
  31. Hung, C.-Y., Jiang, B.-C., & Wang, C.-C. (2020). Evaluating machine learning classification using sorted missing percentage technique based on missing data. Applied Sciences, 10(14), 4920.
  32. Hsiao, H.-C., & Wang, C.-C. (2020). The practical study of differential evaluation of measurement equipment and compensation value estimation. Green Science and Technology Journal, 10(1), 17–32.
  33. Lin, M., & Wang, C.-C. (2020). Evaluation of service quality gaps in traditional appliance retail using cause-and-effect matrix and service failure-mode-and-effect analysis techniques with case studies. TEM Journal, 9(2), 792–797.
  34. Wang, C.-C., & Chien, C.-H. (2020). The study of comparison of time series models: New Taipei City air pollution PM2.5 index forecast as an example. Green Science and Technology Journal, 10(1), 91–112.
  35. Jhu, J.-J., & Wang, C.-C. (2019). On the application of clustering and classification techniques to analyze metabolic syndrome severity distribution area and critical factors. International Journal of Environmental Research and Public Health, 16(9), 1575.
  36. Lo, K.-L., & Wang, C.-C. (2019). Practical study on optimizing the quality of dynamic random-access memory for improving leakage current. Journal of Quality, 26(6), 353–365.
  37. Wang, C.-C., & Li, C.-Y. (2019). Exploring the study of indoor pollution in cognitive differences. Green Science and Technology Journal, 9(1), 1–16.
  38. Wang, C.-C., & Liu, C.-T. (2019). An empirical study of the machine assembly efficiency improvement based on lean six sigma technique. TEM Journal, 8(2), 471–476.
  39. Wang, C.-C., & Wu, B.-D. (2019). Classification and prediction of wafer probe yield in DRAM manufacturing using Mahalanobis-Taguchi system and neural network. The South African Journal of Industrial Engineering, 30(1), 248–256.
  40. Wang, C.-C., Chang, C.-D., & Jiang, B.-C. (2019). Developing a health risk evaluation method for triple H. International Journal of Environmental Research and Public Health, 16(7), 1168.
  41. Chen, I.-F., Wang, C.-C., Chen, S.-L., & Kao, Y.-C. (2018). Selection of guided surgery dental implant systems using network data envelopment analysis. International Journal of Management, Economics and Social Sciences, 7(S1), 85–108.
  42. Chen, S.-H., Chiou, A.-H., & Wang, C.-C. (2018). A NMF-based image restoration scheme with applications to LED integrated substrate defect detection. IEEE Transactions on Semiconductor Manufacturing, 31(4), 486–494.
  43. Hsu, S.-W., Qing, F., Wang, C.-C., & Hsieh, H.-L. (2018). Evaluation of service quality in Facebook-based group-buying. Electronic Commerce Research and Applications, 28, 30–36.
  44. Hsu, S.-W., Wang, C.-C., Hsieh, H.-L., & Qing, F. (2018). An empirical study of the social e-commerce on Facebook group buying services model in Taiwan. International Journal of e-Education, e-Business, e-Management and e-Learning, 8(3), 130–138.
  45. Wang, C.-C., & Chen, H.-H. (2018). Identifying the key factors of service quality in a traditional Chinese medicine clinic-based Kano-IPA model and case study. TEM Journal, 7(2), 301–307.
  46. Wang, C.-C., & Yu, W.-T. (2018). An institutional research of the relationship between student’s academic performance and practice performance in university of technology. International Journal of e-Education, e-Business, e-Management and e-Learning, 8(4), 240–247.
  47. Wang, C.-C., Jiang, B.-C., & Huang, P.-M. (2018). The relationship between postural stability and lower-limb muscles activity using an entropy-based similarity index. Entropy, 20(5), 320.
  48. Wang, C.-C., Jiang, B.-C., & Lin, W.-C. (2018). Evaluation of effects of balance training from using wobble board-based exergaming system by MSE and MMSE techniques. Journal of Ambient Intelligence and Humanized Computing, 9(6), 1745–1754.
  49. Wang, C.-C., Yang, X., & Chen, M.-S. (2018). Practical evaluation of the relationship between work fatigue and overfatigue in the high-tech employees. Basic & Clinical Pharmacology & Toxicology, 123(S3), 36–37.
  50. Qing, F., Hsieh, H.-L., Wang, C.-C., & Hsu, S.-W. (2017). An empirical study of the social e-commerce services model in Taiwan. In Advances in Transdisciplinary Engineering: A Paradigm Shift (Vol. 5, pp. 807–812). https://doi.org/10.3233/978-1-61499-779-5-807
  51. Wang, C.-C., & Chen, H.-H. (2017). Applying two-dimensional quality model for identifying critical factors of service quality: A case study on traditional Chinese medicine clinic in Taiwan. Asian Journal of Medicine and Health, 8(4), 1–7. https://doi.org/10.9734/AJMAH/2017/37403
  52. Wang, C.-C., & Cheng, K.-Y. (2017). Application of design for Six Sigma in smartphone lens holder optimation: An example study of the U Company. Green Science and Technology Journal, 7(1), 24–36.
  53. Wang, C.-C., & Chien, J.-C. (2016). Effect of drug-drug interactions by association rule discovery among the elderly. Journal of Advances in Medical and Pharmaceutical Sciences, 7(4), 1–8.
  54. Wang, C.-C., Huang, L.-J., & Pan, H.-N. (2016). Risk evaluation of drug safety in the emergency treatment process using a modified HFMEA-based associated matrix. Asian Journal of Medicine and Health, 1(2), 1–8.
  55. Wang, C.-C., & Chang, C.-D. (2015). Support vector machine-based multi-scale entropy of curves recognition for electrocardiogram data. British Journal of Medicine and Medical Research, 12(12), 1–8.
  56. Chu, C.-C., Wang, C.-C., & Jiang, B.-C. (2014). Development of an automatic image enhancement method visual inspection system using singular value decomposition technique. The International Journal of Advanced Manufacturing Technology, 70(1), 679–688.
  57. Chu, C.-C., Tsai, L.-L., & Wang, C.-C. (2014). The study of dental equipment assembly efficiency improvement using innovation quality techniques. Green Science & Technology Journal, 4(1), 41–60.
  58. Wang, C.-C., Jiang, B.-C., & Wei, S.-K. (2014). The improvement of TFT-LCD quality in the high-temperature operation from customer complaints. Journal of Technology, 29(1), 49–55.
  59. Wang, C.-C. (2013). A study of R2R control improvement using adjust limit to reduce frequency of control. The South African Journal of Industrial Engineering, 24(2), 102–110.
  60. Wang, C.-C. (2013). A study of run-to-run control efficiency for quality improvement. Journal of Applied Mechanics and Materials, 328, 283–286.
  61. Wang, C.-C. (2013). Machine vision-aided quality decision system for solder joints defect evaluation. Journal of Applied Mechanics and Materials, 268–270, 1393–1397.
  62. Wang, C.-C., Jiang, B.-C., & Fan, H.-K. (2013). The empirical study of TFT-LCD quality assessment using array electrical test inspection model. Journal of Quality, 20(6), 599–608.
  63. Wang, C.-C., Jiang, B.-C., Lin, J.-Y., & Chu, C.-C. (2013). Machine vision-based defect detection in IC images using the partial information correlation coefficient. IEEE Transactions on Semiconductor Manufacturing, 26(3), 378–384.
  64. Chang, C.-D., Wang, C.-C., & Jiang, B.-C. (2012). Singular value decomposition based feature extraction technique for physiological signal analysis. Journal of Medical Systems, 36, 1769–1777.
  65. Jen, C.-H., Jiang, B.-C., Wang, C.-C., Chu, Y.-H., & Chen, M.-S. (2012). Application of classification techniques on development an early-warning system for chronic illnesses. Expert Systems with Applications, 39, 8852–8858.
  66. Wang, C.-C., & Yang, W.-H. (2012). Using detrended fluctuation analysis (DFA) to analyze whether vibratory insoles enhance balance stability for elderly fallers. Archives of Gerontology and Geriatrics, 55, 673–676.
  67. Wang, C.-C., Chang, C.-D., & Jiang, B.-C. (2012). Pattern recognition of multiscale entropy curve for ECG signal analysis. Journal of Applied Mechanics and Materials, 195–196, 603–607.
  68. Chang, C.-D., Wang, C.-C., & Jiang, B.-C. (2011). Using data mining techniques for multi-diseases prediction modeling of hypertension and hyperlipidemia by common risk factors. Expert Systems with Applications, 38, 5507–5513.
  69. Jen, C.-H., Jiang, B.-C., & Wang, C.-C. (2011). Integration of run-to-run control schemes and on-line experiment to deal with the changes in semiconducting dynamic processes. International Journal of Production Research, 49, 5657–5678.
  70. Wang, C.-C., Jiang, B.-C., Chou, Y.-S., & Chu, C.-C. (2011). Multivariate analysis-based image enhancement model for machine vision inspection. International Journal of Production Research, 49, 2999–3021.
  71. Jiang, B.-C., Wang, C.-C., Chen, H.-J., & Chu, C.-C. (2010). Automatic bubble defect inspection for microwave communication substrates using multi-threshold technique based co-occurrence matrix. International Journal of Production Research, 48, 2361–2371.
  72. Wang, C.-C., & Wen, W.-M. (2010). A wavelet-based variable control procedure for detecting process mean shift. International Journal of Industrial Engineering: Theory, Applications and Practice, 17, 259–268.
  73. Jiang, B.-C., Wang, C.-C., Jen, C.-H., & Luo, L.-C. (2009). Combining EWMA control chart to reduce process control frequency for run-to-run (R2R). Journal of Quality, 16, 233–243.
  74. Jiang, B.-C., Wang, C.-C., Lu, J., Jen, C.-H., & Fan, S. K. S. (2009). Using simulation techniques to determine optimal operational region for multi-responses problems. International Journal of Production Research, 47, 3219–3230.
  75. Wang, C.-C., Jiang, B.-C., Wu, M.-Y., & Jen, C.-H. (2009). Evaluation of fuzzy neural network run-to-run controller using numerical simulation analysis for SISO process. Expert Systems with Applications, 36, 12044–12048.
  76. 曾國希, & 王建智. (2009). 整合型光學膜之設計確認保證. 品質月刊, 45(4), 33–38.
  77. Chen, M.-S., Wang, C.-C., & Wang, L.-Y. (2008). Applying decision tree to explore critical factors in developing diabetes among employees in high-tech industry. Journal of Health Management, 6, 135–146.
  78. Chu, C.-C., Jiang, B.-C., & Wang, C.-C. (2008). Modified gamma correction method to enhance ball grid array image for surface defect inspection. International Journal of Production Research, 46, 2165–2178.
  79. Wang, C.-C., Chen, M.-S., & Hsu, C.-J. (2008). Consumer relationship management using cluster analysis of high level health examination customer groups as a data mining technique: Example of a single medical center in Taipei. Journal of Health Management, 6, 49–60.
  80. Jiang, B.-C., Wang, C.-C., & Hsu, Y.-N. (2007). Machine vision and background remover-based approach for PCB solder joints inspection. International Journal of Production Research, 45, 451–464.
  81. 江行全, 蔡篤銘, & 王建智. (2006). 應用機器視覺於液晶螢幕面板表面瑕疵檢測. 機械月刊, 32(4), 78–87.
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