Professor Kwang-Jae Kim (BSc, MSc, PhD)
Department of Industrial and Management Engineering, Pohang University of Science and Technology,
San 31, Hyoja-Dong, Nam-Gu, Pohang, Kyungbuk 790-784, Korea.
Phone: (82)542792208; Fax: (82)542792870; Email: kjk@postech.ac.kr;
Kwang-Jae Kim is Professor of the Department of Industrial and Management Engineering at Pohang
University of Science and Technology (POSTECH). His research interests are in the areas of quality
engineering, service science and engineering, and new product/service development. His research activities
have been funded by various organizations, including Samsung Electronics, KT, LG Telecom, LG Chemistry,
Hyundai Motor Company, POSCO, IBM, and Microsoft. His refereed journal articles include publications in
Journal of the Royal Statistical Societies, Journal of Quality Technology, Quality Engineering, Quality
Management Journal, IIE Transactions, Journal of Operations Management, Naval Research Logistics,
European Journal of Operational Research, among others. Currently, he serves as associate editor for
Applied Stochastic Models in Business and Industry, and is on editorial boards for several international
journals. He also serves as the chairman for KIIE Service Science Research Group and a vice president of
the Society of Service Science. He is a member of ASQ (senior), INFORMS, IIE, KIIE, KORMS, and KSQM.
Refereed International Journal Articles (Last Five Years)
1.
Jeong, I. and Kim, K. (2009), An Interactive Desirability Function Method to Multiresponse Optimization, European
Journal of Operational Research, Vol. 195, No. 2, 412-426.
2.
Kwak, D., Kim, K., and Lee, M. (2009), Multistage PRIM: Patient Rule Induction Method for Optimization of a
Multistage Manufacturing Process, International Journal of Production Research, (Accepted).
3.
Kim, K. and Kim, D. (2008), Research Issues in Robust QFD, Industrial Engineering and Management Systems, Vol.
7, No. 2, 93-100.
4.
Kim, D. and Kim, K. (2008), Robustness Indices and Robust Prioritization in QFD, Expert Systems With Applications,
(Accepted for Publication).
5.
Hong, S., Han, S., and Kim, K. (2008), Optimal Balancing of Multiple Affective Satisfaction Dimensions: A Case
Study on Mobile Phones, International Journal of Industrial Ergonomics, Vol. 38, No. 3-4, 272-279.
6.
Lee, M. and Kim, K. (2008), MR-PRIM: Patient Rule Induction Method for Multiresponse Optimization, Quality
Engineering, Vol. 20, No. 2, 232-242.
7.
Min, D. and Kim, K.(2008), An Extended QFD Planning Model for Selecting Design Requirements with Longitudinal
Effect Consideration, Expert Systems With Applications, Vol. 35, No. 4, 1546-1554.
8.
Kim, K., Jeong, I., Park, J., Park, Y., Kim, C., and Kim, T. (2007), The Impact of Network Service Performance on
Customer Satisfaction and Loyalty: High-speed Internet Service Case in Korea, Expert Systems with Applications,
Vol. 32, No. 3, 822-831.
9.
Kim, K., Kim, D., and Min, D. (2007), Robust QFD: Framework and a Case Study, Quality and Reliability
Engineering International, Vol. 23, No. 1, 31-44.
10. Lee, M. and Kim, K. (2007), Expected Desirability Function: Consideration of Both Location and Dispersion Effects in
Desirability Function Approach, Quality Technology and Quantitative Management, Vol. 4, No. 3, 365-377.
11. Kim, D., Lee, M., and Kim, K (2007), A Systematic Method for Generating Engineering Characteristic Candidates in
Quality Function Deployment, International Journal of Industrial Engineering, Vol. 14, No. 2, 179-187.
12. Cho, H., Kim, K., and Jeong, M. (2006), On-line monitoring and diagnosis of batch processes: empirical modelbased framework and a case study, International Journal of Production Research, Vol. 44, No. 12, 2361-2378.
13. You, H., Ryu, T., Oh, K., Yun, M., and Kim, K. (2006), Development of customer satisfaction models for automotive
interior materials, International Journal of Industrial Ergonomics, Vol. 36, No. 4, 323-330.
14. Kim, K., Lee, D., and Lee, M. (2006), Determining Product Platform Elements for Mass Customization, International
Journal of Productivity and Quality Management, Vol. 1, No. 1/2, 168-182.
2
15. Kim, K. and Lin, D. (2006), Optimization of Multiple Responses Considering Both Location and Dispersion Effects,
European Journal of Operational Research, Vol. 169, No. 1, 133-145.
16. Kim, K., Cho, H., Jeong, I., Park, J., Park, Y., Kim, C., and Kim, T. (2006), Service Quality Analysis and
Improvement: Development of a Systematic Framework (a Case Study), International Journal of Industrial
Engineering, Vol. 13, No. 2, 177-187.
17. Balamurali, S., Park, H., Jun, C., Kim, K., and Lee, J. (2005), Designing of Variables Repetitive Group Sampling
Plan Involving Minimum Average Sample Number, Communications in Statistics - Simulation and Computation, Vol.
34, 799-809.
18. Park, K. and Kim, K.(2005), Optimizing Multi-Response Surface Problems: How to Use Multi-Objective Optimization
Techniques, IIE Transactions, Vol. 37, No. 6, 523-532.
19. Ko, Y., Kim, K., and Jun, C.(2005), A New Loss Function- Based Method for Multiresponse Optimization, Journal of
Quality Technology, Vol. 37, No. 1, 50-59.
20. Cho, H. and Kim, K.(2005), Diagnosing Batch Processes with Insufficient Data: Generation of Pseudo Batches,
International Journal of Production Research, Vol. 43, No. 14, 2997-3009.
21. Jeong, I., Kim, K., and Chang, S.(2005), Optimal Weighting of Bias and Variance in Dual Response Surface
Optimization, Journal of Quality Technology, Vol. 37, No. 3, 236-247.
22. Cho, H., Kim, K., and Jeong, M. (2005), Multivariate Statistical Diagnosis Using Trigangular Representation of Fault
Patterns in Principal Component Space, International Journal of Production Research, Vol. 43, No. 24, 5181-5198.
23. Jeong, I. and Kim, K. (2005), D-STEM: A Modified Step Method with Desirability Function Concept, Computers and
Operations Research, Vol. 32, No. 12, 3175-3190.