Chanseok PARK

Chanseok PARK

Professor of Industrial Engineering at Pusan National University.

Publication List

Recent Publications

  1. Chen, X., X. Gao, C. Li, and C. Park (2025). A new heuristic for the continuous fixed-radius disk cover problem. Engineering Optimization To Appear. doi:10.1080/0305215X.2024.2368609

  2. Xie, E., C. Park, L. Liu, J. Zhou, Y. Ma (2024). Improving the efficiency and efficacy of robust sequential bifurcation under data contamination. Communications in Statistics - Theory and Methods 53(11), 5143-5159. doi:10.1080/03610918.2023.2170416

  3. Gao, X., Z. Chen, B. Kim, and C. Park (2024). A Note on Location Parameter Estimation using the Weighted Hodges-Lehmann Estimator. Industrial Engineering & Management Systems 23(3), 323-341. doi:10.7232/iems.2024.23.3.323

  4. Alotaibi, R., H. Rezk, and C. Park (2024). Parameter Estimation of Inverse Weibull Distribution Under Competing Risks based on the Expectation-Maximization Algorithm. Quality and Reliability Engineering International 40(7), 3795–3808. doi:10.1002/qre.3599 [R Code]

  5. Ouyang, L., S. Dey, and C. Park (2024). Robust Confidence Intervals for the Process Capability Index Cpk with Bootstrap Improvement. Quality Engineering 36(3), 624-637. doi:10.1080/08982112.2023.2263523

  6. Park, C., X. Gao, and M. Wang (2024). Robust explicit estimators using the power-weighted repeated medians. Journal of Applied Statistics 51(8), 1590-1608. doi:10.1080/02664763.2023.2229969 [R Code]

  7. Park, C. and M. Wang (2024). Parameter Estimation of Birnbaum-Saunders Distribution Under Competing Risks Using the Quantile Variant of the Expectation-Maximization Algorithm. Mathematics 12(11), 1757. doi:10.3390/math12111757 [R Code]

  8. Ouyang, L., S. Dey, and C. Park (2024). Development of robust confidence intervals for the cost-based process capability index. Computers & Industrial Engineering 190, 110048. doi:10.1016/j.cie.2024.110048

  9. Ouyang, L., Y. Che, C. Park, Y. Chen (2024). A novel active learning Gaussian process modeling-based method for time-dependent reliability analysis considering mixed variables. Reliability Engineering & System Safety 244, 109916. doi:10.1016/j.ress.2023.109916