Journal

 

  • J1. Kuo-Hao Chang*, Robert Cuckler, and Chun-Hung Chen, “An Efficient Direct Search Method for Simulation Optimization with Conditional-Expectation-based Objectives,” IEEE Transactions on Automation Science and Engineering, accepted.
  • J2. Kuo-Hao Chang*, Robert Cuckler, Song-Lin Lee, and Loo Hay Lee, “Discrete Condition-Expectation-based Simulation Optimization: Methodology and Applications,” European Journal of Operational Research, online published.
  • J3. Kuo-Hao Chang*, Chi-Chih Tsai, Chih-Hung Wang, Chung-Jung Chen, and Chih-Ming Lin, “Optimizing the Energy Efficiency of Chiller Systems in the Semiconductor Industry through Big Data Analytics and An Empirical Study,” Journal of Manufacturing Systems, 60, 652-661 (2021).
  • J4. Kuo-Hao Chang*, Yi-Jyun Sun, Chi-An Lai, Li-Der Chen, Chih-Hung Wang, Chung-Jung Chen, and Chih-Ming Lin, "Big Data Analytics Energy-Saving Strategies for Air Compressors in the Semiconductor Industry – An Empirical Study," International Journal of Production Research, accepted (2020).
  • J5. Kuo-Hao Chang*, Hui-Yu Yang, and Robert Cuckler, “An Integrated Response-Surface-based Method for Simulation Optimization with Correlated Outputs,” Asia-Pacific Journal of Operational Research, accepted (2020). Asia-Pacific Journal of Operational Research
  • J6. Robert Cuckler and Kuo-Hao Chang*, “Applying Simulation Optimization for Agile Vehicle Fleet Sizing of Automated Material Handling Systems in Semiconductor Manufacturing,” Asia-Pacific Journal of Operational Research, accepted (2020).
  • J7. Hsiang-Hua Yu, Kuo-Hao Chang*, Hsin-Wei Hsu, Robert Cuckler, “A Monte Carlo simulation-based decision support system for reliability analysis of Taiwan’s power system: Framework and empirical study” Energy, 178, 252-262 (2019).
  • J8. Kuo-Hao Chang* and Po-Yi Kuo, “An Efficient Simulation Optimization Method for the Generalized Redundancy Allocation Problem” European Journal of Operational Research, 265(3), 1094-1101 (2017).
  • J9. Robert Cuckler, Kuo-Hao Chang*, and Liam Y. Hsieh, “Optimal Parallel Machine Allocation Problem in IC Packaging Using IC-PSO: An Empirical Study,” 34(6), 1750034, Asia-Pacific Journal of Operational Research (2017).
  • J10. Kuo-Hao Chang*, “Risk-Controlled Product Mix Planning in Semiconductor Manufacturing Using Simulation Optimization” IEEE Transactions on Semiconductor Manufacturing, 29(4), 411-418 (2016).
  • J11. Kuo-Hao Chang* and Hou-Kuen Lu, “Quantile-based Simulation Optimization with Inequality Constraints: Methodology and Applications,” IEEE Transactions on Automation Science and Engineering, 13(2), 701-708 (2016).
  • J12. Ying-Jen Chen, Chu-Yuan Fan, and Kuo-Hao Chang*, “Manufacturing Intelligence for Reducing False Alarm of Defect Classification by Integrating Similarity Matching Approach in CMOS Image Sensor Manufacturing,” Computers & Industrial Engineering, 99, 465-473 (2016).
  • J13. Kuo-Hao Chang*, “A Quantile-based Simulation Optimization Model for Sizing Hybrid Renewable Energy Systems,” Simulation Modelling Practice and Theory, 66, 94-103 (2016).
  • J14. Kuo-Hao Chang* and Liam Y. Hsieh, “Determination of Wafer Start Mix in Semiconductor Manufacturing: Model, Solution Method and an Empirical Study,” IEEE Transactions on Systems, Man and Cybernetics: Systems, 46(2), 294-302 (2016).
  • J15. Liam Y. Hsieh*, Edward Huang, Si Zhang, Chun-Hung Chen and Kuo-Hao Chang “Application of Multi-Fidelity Simulation Modeling to Integrated Circuit Packaging,” International Journal of Simulation and Process Modeling, 11(3-4), 259-269 (2016).
  • J16. Kuo-Hao Chang*, “Improving the Efficiency and Efficacy of Stochastic Trust-Region Response-Surface Method for Simulation Optimization,” IEEE Transactions on Automatic Control, 60(5), 1235-1243 (2015).
  • J17. Kuo-Hao Chang*, “A Direct Search Method for Unconstrained Quantile-based Simulation Optimization,” European Journal of Operational Research, 242(2), 487-495 (2015).
  • J18. Kuo-Hao Chang* and Grace Lin, “Optimal Design of Hybrid Renewable Energy Systems Using Simulation Optimization,” Simulation Modelling Practice and Theory, 52, 40-51 (2015).
  • J19. Kuo-Hao Chang*, “A Decision Support System for Planning and Coordination of Hybrid Renewable Energy Systems,” Decision Support Systems, 64, 4-13 (2014).
  • J20. Kuo-Hao Chang*, Ai-Lin Chang and Ching-Yi Kuo, “A Simulation-based Framework for Multi-objective Vehicle Fleet Sizing of Automated Material Handling Systems: An Empirical Study,” Journal of Simulation, 8, 271-280 (2014).
  • J21. Kuo-Hao Chang*, Yu-Hsuan Huang, and Shih-Pang Yang, “Vehicle Fleet Sizing for Automated Material Handling Systems to Minimize Cost Subject to Time Constraints,” IIE Transactions, 46, 301-312 (2014). (2015 IIE Transactions Best Paper Award)
  • J22. Kuo-Hao Chang*, Ming-Kai Li, and Hong Wan, “Combining STRONG and Efficient Screening Designs for Large-Scale Simulation Optimization,” IIE transactions, 46, 357-373 (2014).
  • J23. Chen-Fu Chien*, Kuo-Hao Chang, and Wen-Chih Wang, “An Empirical Study of Design-of-Experiment Data Mining for Yield-Loss Diagnosis in Semiconductor Manufacturing,” Journal of Intelligent Manufacturing, 25, 961-972 (2014).
  • J24. Ching-Hsiang Chan, Hsiao-Fan Wang*, Kuo-Hao Chang, and Ching-Yi Kuo, “An Intelligent Centralized Control System for Dispatching and Routing of the Automatic Guided Vehicles,” Advances in Computer Science and Engineering, 12(2), 81-99 (2014).
  • J25. Liam Y. Hsieh, Kuo-Hao Chang*, and Chen-Fu Chien, “Efficient Development of Cycle Time Response Surfaces Using Progressive Simulation Metamodeling,” International Journal of Production Research, 52(10), 3097-3109 (2014).
  • J26. Kuo-Hao Chang, Jeff L. Hong, and Hong Wan*, “Stochastic Trust- Region Response-Surface Method (STRONG)-A New Response Surface Framework for Simulation Optimization,” INFORMS Journal on Computing, 25 (2), 230-243 (2013).
  • J27. Chen-Fu Chien*, Chia-Yu Hsu, and Kuo-Hao Chang, “Overall Wafer Effectiveness (OWE): A Novel Industry Standard for Semiconductor Ecosystem as a Whole,” Computers and Industrial Engineering, 65, 117-127 (2013).
  • J28. Liam Y. Hsieh and Kuo-Hao Chang*, “Yield Improvement of In-Mold Decoration Manufacturing through Parameter Optimization,” International Journal of Precision Engineering and Manufacturing, 14 (10), 1823-1828 (2013).
  • J29. Ying-Jen Chen, Tzu-Hsiang Lin, Kuo-Hao Chang* and Chen-Fu Chien, “Feature Extraction for Defect Classification and Yield Enhancement in Color Filter and Micro-lens Manufacturing: An Empirical Study,” Journal of Industrial and Production Engineering, 30 (8), 510-517 (2013).
  • J30. Kuo-Hao Chang*, “Stochastic Nelder-Mead Simplex Method-A New Globally Convergent Direct Search Method for Simulation Optimization,” European Journal of Operational Research, 220 (3), 684-694 (2012).
  • J31. Chao-Jung Huang, Kuo-Hao Chang*, and James T. Lin, “Optimal Vehicle Allocation for Automated Material Handling System Using Simulation Optimization,” International Journal of Production Research, 50, 5734-5746 (2012).
  • J32. Chen-Fu Chien*, Kuo-Hao Chang, and Chih-Ping Chen, “Design of sampling strategy for measuring and compensating overlay errors in semiconductor manufacturing”, International Journal of Production Research, 41 (11), 2547-2561 (2003).
  • J33. Chen-Fu Chien*, Kuo-Hao Chang, and Chih-Ping Chen, “Modeling Overlay Errors and Sampling Strategies to Improve Yield”, Journal of the Chinese Institute of Industrial Engineers, 18 (3), 95-103 (2001).