Biography

Prof. Shu-Cherng Fang

North Carolina State University, USA


Email: fang@ncsu.edu


Qualifications

Ph.D., Northwestern University

M.A., Johns Hopkins University

B.S., National Tsinghua University


Publications (Selected)

  1. Xu, Y., Xut, J., Lu, C., Fang, S.-C., & Deng, Z. (2024). A NEW GLOBAL ALGORITHM FOR HOMOGENEOUS COMPLEX QUADRATIC PROGRAMMING PROBLEMS AND APPLICATIONS. PACIFIC JOURNAL OF OPTIMIZATION, 20(4), 667–682. https://doi.org/10.61208/pjo-2024-001
  2. Lin, F., Fang, S.-C., Fang, X., Gao, Z., & Luo, J. (2024). A distributionally robust chance-constrained kernel-free quadratic surface support vector machine. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 316(1), 46–60. https://doi.org/10.1016/j.ejor.2024.02.022
  3. Zhang, Q., Wang, Z., Huang, M., Wang, H., Wang, X., & Fang, S.-C. (2025). Collaborative supply chain network design under demand uncertainty: A robust optimization approach. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 279. https://doi.org/10.1016/j.ijpe.2024.109465
  4. Lin, F., Fang, S.-C., Fang, X., & Gao, Z. (2024). Distributionally robust chance-constrained kernel-based support vector machine. COMPUTERS & OPERATIONS RESEARCH, 170. https://doi.org/10.1016/j.cor.2024.106755
  5. Zhao, L., Guo, W., Fang, S.-C., & Anc, Q. (2024). Enhancing supply chain coordination through transparency initiatives to mitigate product returns. JOURNAL OF RETAILING AND CONSUMER SERVICES, 78. https://doi.org/10.1016/j.jretconser.2024.103756
  6. Jiang, S., Huang, M., Zhang, Y., Wang, X., & Fang, S.-C. (2024). Fourth-party logistics network design with demand surge: A greedy scenario-reduction and scenario-price based decomposition algorithm. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 269. https://doi.org/10.1016/j.ijpe.2023.109135
  7. Zhang, Y., Huang, M., Gao, Z., Jiang, S., Fang, S.-C., & Wang, X. (2024, April 12). Multi-period fourth-party logistics network design from the viability perspective: a collaborative hyper-heuristic embedded with double-layer Q-learning algorithm. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, Vol. 4. https://doi.org/10.1080/00207543.2024.2339530
  8. Yin, M., Huang, M., Wang, D., Fang, S.-C., Qian, X., & Wang, X. (2024). Multi-period fourth-party logistics network design with the temporary outsourcing service under demand uncertainty. COMPUTERS & OPERATIONS RESEARCH, 164. https://doi.org/10.1016/j.cor.2024.106564
  9. Lu, C., Deng, Z., Fang, S.-C., & Xing, W. (2023, March 20). A New Global Algorithm for Max-Cut Problem with Chordal Sparsity. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, Vol. 3. https://doi.org/10.1007/s10957-023-02195-3
  10. Luo, S., Fang, S.-C., Zhang, J., & King, R. E. (2023). Price competition and cost efficiency facing buyer's bounded rationality. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 266. https://doi.org/10.1016/j.ijpe.2023.109062
  11. Li, H.-L., Fang, S.-C., Lin, B. M. T., & Kuo, W. (2023). Unifying colors by primes. LIGHT-SCIENCE & APPLICATIONS, 12(1). https://doi.org/10.1038/s41377-023-01073-x
  12. Gao, R.-T., Fang, S.-C., Lu, C., & Xing, W.-X. (2022, January 28). A Polynomial-Time Algorithm with Tight Error Bounds for Single-Period Unit Commitment Problem. JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF CHINA, Vol. 1. https://doi.org/10.1007/s40305-021-00376-3
  13. Wang, H., Fang, S.-C., Huang, M., Zhang, Q., & Deng, Z. (2022). A joint model of location, inventory and third-party logistics provider in supply chain network design. COMPUTERS & INDUSTRIAL ENGINEERING, 174. https://doi.org/10.1016/j.cie.2022.108809
  14. Luo, J., Hong, T., Gao, Z., & Fang, S.-C. (2023). A robust support vector regression model for electric load forecasting. INTERNATIONAL JOURNAL OF FORECASTING, 39(2), 1005–1020. https://doi.org/10.1016/j.ijforecast.2022.04.001
  15. Zhang, Q., Wang, Z., Huang, M., Yu, Y., & Fang, S.-C. (2022). Heterogeneous multi-depot collaborative vehicle routing problem. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 160, 1–20. https://doi.org/10.1016/j.trb.2022.03.004
  16. Zhang, Y., Gao, Z., Huang, M., Jiang, S., Yin, M., & Fang, S.-C. (2022, November 11). Multi-period distribution network design with boundedly rational customers for the service-oriented manufacturing supply chain: a 4PL perspective. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, Vol. 11. https://doi.org/10.1080/00207543.2022.2140220
  17. Luo, J., Fang, S.-C., Deng, Z., & Tian, Y. (2022). Robust kernel-free support vector regression based on optimal margin distribution. Knowledge-Based Systems, 253, 109477. https://doi.org/10.1016/j.knosys.2022.109477
  18. Gao, X., Bai, Y., Fang, S.-cherng, Luo, J., & LI, Q. (2021, December). A NEW HYBRID l(p)-l(2) MODEL FOR SPARSE SOLUTIONS WITH APPLICATIONS TO IMAGE PROCESSING. JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, Vol. 12. https://doi.org/10.3934/jimo.2021211
  19. Gao, Z., Fang, S.-C., Gao, X., Luo, J., & Medhin, N. (2021). A novel kernel-free least squares twin support vector machine for fast and accurate multi-class classification. Knowledge-Based Systems, 226, 107123. https://doi.org/10.1016/j.knosys.2021.107123
  20. Luo, S., Ahiska, S. S., Fang, S.-C., King, R. E., Warsing, D. P., Jr., & Wu, S. (2021). An analysis of optimal ordering policies for a two-supplier system with disruption risk. Omega - The International Journal of Management Science, 105, 102517. https://doi.org/10.1016/j.omega.2021.102517


Profile Details
https://ise.ncsu.edu/people/fang/

Free SCIRP Newsletters
Copyright © 2006-2025 Scientific Research Publishing Inc. All Rights Reserved.
Top