Refereed Journal Publications
  1. Wang, C.-C., & Chen, M.-S. (2026). Explainable Machine Learning for Concurrent Screening of Elevated Work-Related Fatigue Using Routine Working-Hour and Occupational Health Data Among Manufacturing Workers: A Cross-Sectional Model Development and Internal Validation Study. Healthcare, 14(16), 2627. https://doi.org/10.3390/healthcare14162627
  2. Hao, H., & Wang, C.-C. (2026). Transforming Misleading Multimodal Reviews into Decision-Ready Evidence for E-Commerce: A Sarcasm Detection, LLM-Driven Semantic Correction, and Non-Compensatory Decision-Support Framework. Journal of Theoretical and Applied Electronic Commerce Research 21, no. 8: 245. https://doi.org/10.3390/jtaer21080245 [SSCI] (Corresponding author).
  3. Wang, C.-C., & Tsai, M.-N. (2026). Rule-grounded diagnostic knowledge for traceable decision support in smart manufacturing AMR operations. The International Journal of Advanced Manufacturing Technology, 144, 6441–6459. https://doi.org/10.1007/s00170-026-18272-6 [SCI]
  4. 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, 144, 767–789. https://doi.org/10.1007/s00170-026-17944-7 [SCI]
  5. 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 [SSCI]
  6. 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 [SCI]
  7. 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 [SCI]
  8. Lin, T. Y., Wu, S. P., & Wang, C. C. (2026). A Human-Capability Perspective on Lean Transformation Under Supply Chain Disruption in a Precision Mold Manufacturer. IIAI Letters on Business and Decision Science, 6. https://doi.org/10.52731/lbds.v006.499 (Corresponding author)
  9. Wang, C.-C. (2025). Dynamic dual-phase forecasting model for new product demand using machine learning and statistical control. Mathematics, 13(10), 1613. https://doi.org/10.3390/math13101613 [SCI]
  10. 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. https://doi.org/10.3390/pr13072256 [SCI]
  11. 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. https://doi.org/10.3390/su17229996 [SCI/SSCI] Corresponding author
  12. 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 Corresponding author
  13. 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. Corresponding author
  14. Hung, C.-Y., Wu, S.-P., Wang, C.-C., & 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 Corresponding author
  15. 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. https://doi.org/10.3390/systems12100388 [SSCI] Corresponding author
  16. Wang, C.-C. (2024). T²-LSTM-based AI system for early detection of motor failure in chemical plants. Mathematics, 12(17), 2652. https://doi.org/10.3390/math12172652 [SCI]
  17. 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
  18. Zhu, B., Wang, C.-C., & Hung, C.-Y. (2024). Environmental, geographical, and economic impacts of inbound tourism in China: A mixed-effects gravity model approach. Sustainability, 16(15), 6671. https://doi.org/10.3390/su16156671 [SCI/SSCI] Corresponding author
  19. 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. https://doi.org/10.1016/j.aei.2023.102055 [SCI]
  20. 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. https://doi.org/10.3390/su151914547 [SCI/SSCI] Corresponding author
  21. Wang, C.-C., & Kuo, C.-H. (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. https://doi.org/10.1016/j.aei.2022.101852 [SCI]
  22. 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. https://doi.org/10.3390/math11132872 [SCI]
  23. 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.
  24. 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. https://doi.org/10.3390/math11071569 [SCI]
  25. 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. https://doi.org/10.3390/su14042382 [SCI/SSCI] Corresponding author
  26. Wang, C.-C. (2022). Special issue on recent advances in machine learning and applications. Processes, 10(11), 2411. https://doi.org/10.3390/pr10112411 [SCI]
  27. Wang, C.-C., & Li, Y.-H. (2022). Machine-learning-based system for the detection of entanglement in dyeing and finishing processes. Sustainability, 14(14), 8575. https://doi.org/10.3390/su14148575 [SCI/SSCI]
  28. 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. https://doi.org/10.3390/math10132158 [SCI]
  29. 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. https://doi.org/10.3390/pr9071083 [SCI] Corresponding author
  30. 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. https://doi.org/10.3390/pr9091510 [SCI] Corresponding author
  31. 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. https://doi.org/10.3390/pr9091563 [SCI] Corresponding author
  32. 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. https://doi.org/10.3390/pr9071157 [SCI]
  33. 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. https://doi.org/10.3390/app11135815 [SCI]
  34. 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. https://doi.org/10.3390/su132111725 [SCI/SSCI] Corresponding author
  35. 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. https://doi.org/10.3390/app10144920 [SCI] Corresponding author
  36. Wang, C.-C., & Hsiao, H.-C. (2020). The practical study of differential evaluation of measurement equipment and compensation value estimation. Green Science & Technology Journal, 10(1), 17–32.
  37. Wang, C.-C., & Lin, M. (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. https://doi.org/10.18421/TEM92-49
  38. 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 & Technology Journal, 10(1), 91–112.
  39. Wang, C.-C., & Jhu, J.-J. (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. https://doi.org/10.3390/ijerph16091575 [SCI/SSCI]
  40. Wang, C.-C., & Lo, K.-L. (2019). Practical study on optimizing the quality of dynamic random-access memory for improving leakage current. Journal of Quality, 26(6), 353–365. https://doi.org/10.6220/joq.201912_26(6).0001 [EI]
  41. Wang, C.-C., & Li, C.-Y. (2019). Exploring the study of indoor pollution in cognitive differences. Green Science & Technology Journal, 9(1), 1–16.
  42. 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. https://doi.org/10.18421/TEM82-21
  43. 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. https://doi.org/10.7166/30-1-1627 [SCI]
  44. 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. https://doi.org/10.3390/ijerph16071168 [SCI/SSCI]
  45. 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.
  46. 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. https://doi.org/10.1109/TSM.2018.2868819 [SCI]
  47. 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. https://doi.org/10.1016/j.elerap.2018.01.006 [SCI/SSCI]
  48. 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. https://doi.org/10.17706/ijeeee.2018.8.3.130-138
  49. 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. https://doi.org/10.18421/TEM72-09
  50. 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.
  51. 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. https://doi.org/10.3390/e20050320 [SCI]
  52. 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. https://doi.org/10.1007/s12652-017-0594-1 [SCI]
  53. 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. [SCI]
  54. Wang, C.-C., & Hsieh, H.-L. (2017). An empirical study of the social e-commerce services model in Taiwan. In Transdisciplinary engineering: A paradigm shift (Vol. 5, pp. 807–812). IOS Press https://doi.org/10.3233/978-1-61499-779-5-807 [EI]
  55. 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
  56. Wang, C.-C., & Cheng, K.-Y. (2017). Application of design for Six Sigma in smartphone lens holder optimization: An example study of the U Company. Green Science & Technology Journal, 7(1), 24–36.
  57. 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.
  58. 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.
  59. 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.
  60. 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. https://doi.org/10.1007/s00170-013-5305-2 [SCI]
  61. 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.
  62. 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. [EI]
  63. 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. [SCI]
  64. Wang, C.-C. (2013). A study of run-to-run control efficiency for quality improvement. Applied Mechanics and Materials, 328, 283–286. [EI]
  65. Wang, C.-C. (2013). Machine vision-aided quality decision system for solder joints defect evaluation. Applied Mechanics and Materials, 268–270, 1393–1397. [EI]
  66. 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. [EI]
  67. 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. [SCI]
  68. 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. [SCI]
  69. Jen, C.-H., Wang, C.-C., Jiang, B.-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. [SCI]
  70. 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. [SCI]
  71. Wang, C.-C., Chang, C.-D., & Jiang, B.-C. (2012). Pattern recognition of multiscale entropy curve for ECG signal analysis. Applied Mechanics and Materials, 195–196, 603–607. [EI]
  72. 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. [SCI]
  73. 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. [SCI]
  74. 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. https://doi.org/10.1080/00207541003801242 [SCI]
  75. 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. [SCI]
  76. 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. [SCI]
  77. 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. [EI]
  78. 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. [SCI]
  79.  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. [SCI]
  80. 曾國希、與王建智. (2009). 整合型光學膜之設計確認保證. 品質月刊, 45(4), 33–38.
  81. 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.
  82. 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. [SCI]
  83. 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.
  84. 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. [SCI]
  85. 江行全、蔡篤銘、與王建智. (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.
  86. Jiang, B.-C., Wang, C.-C., & Liu, H.-C. (2005). LCD surface uniformity defect inspection using ANOVA and EWMA techniques. International Journal of Production Research, 43, 67–80. [SCI]
  87. Wang, C.-C., & Jiang, B.-C. (2005). Integral DOE and MANOVA techniques for classification feature selection: Using solder joint defects as an example. The International Journal of Advanced Manufacturing Technology, 27, 392–396. [SCI]
  88. Jiang, B.-C., Wang, C.-C., & Chen, P.-L. (2004). Logistic regression tree applied to classify PCB golden finger defects. The International Journal of Advanced Manufacturing Technology, 24, 496–502. [SCI]
  89. Jiang, B.-C., Wang, C.-C., Liao, K.-D., & Lee, S.-H. (2004). Study of dynamic X-ray image enhancement and defects classification. Journal of the Chinese Institute of Industrial Engineers, 21, 409–421. [EI]
  90. Wang, C.-C., & Jiang, B.-C. (2004). Design feature selection index based on overlap region applied to PCB defects classification. Image and Pattern, 10, 40–51.
  91. Wang, C.-C., Jiang, B.-C., Liu, C.-W., & Chen, P.-L. (2004). The research of PCB impedance adjustment model: A case study of eight-layer board. Journal of Quality, 11, 85–96. [EI]
  92. Fan, S. K. S., Jiang, B.-C., Jen, C.-H., & Wang, C.-C. (2002). SISO run-to-run feedback controller using triple EWMA smoothing for semiconductor manufacturing processes. International Journal of Production Research, 40, 3093–3120. https://doi.org/10.1080/00207540210141652 [SCI]
  93. Jiang, B.-C., Tsai, S.-L., & Wang, C.-C. (2002). Machine-vision based grey relational theory applied to IC marking inspection. IEEE Transactions on Semiconductor Manufacturing, 15, 531–539. [SCI]
  94. Wang, C.-C., Jiang, B.-C., & Lee, S.-X. (2002). Applied SPC, DOE, and RSM techniques to reduce the defects of aluminum felly: A case study of die casting process. Journal of Quality, 9, 1–17. [EI]
  95. Jiang, B.-C., Wang, Y.-M., & Wang, C.-C. (2001). Bootstrap sampling techniques applied to PCB golden fingers defect classification study. International Journal of Production Research, 39, 2215–2230. [SCI]
  96. Jiang, B.-C., Yu, C.-L., & Wang, C.-C. (2001). The evaluation of artwork dimensional variance for PCB manufacturing process. Journal of Quality, 8, 85–105. [EI]
  97. Wang, C.-C., & Jiang, B.-C. (2001). PCB solder joints defects detection and classification using machine vision. International Journal of Industrial Engineering: Theory, Applications and Practice, 8, 359–368. [SCI]
  98. Jiang, B.-C., Lin, T.-T., & Wang, C.-C. (1999). A study of using machine vision system for surface defects classification. Journal of the Chinese Institute of Industrial Engineers, 16, 443–453. [EI]
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