Publications

Simulation analysis and optimization

Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization, Hu S., Wang H., Dai Z., Low B.K.H., Ng S.H. (2022)arXivDownload
A Model Aggregation Approach for High-dimensional Large-scale Optimization, Wang H., Zhang E., Ng S.H., Pedrielli G. (2022)arXivDownload
Enhanced Global Optimization with Parallel Global and Local Structures, Wang H., Wang S.,Meng Q., Ng S.H. (2022)arXivDownload
A Nonparametric Bayesian Approach for Simulation Optimization with Input Uncertainty, Wang H., Zhang X., Ng S.H. (2021)arXivDownload
Combined Global and Local Optimization with Gaussian Process Models, Meng Q., Wang S., Ng S.H. (2022)INFORMS Journal on Computing, 34(1), 622-637Download
A Multi-Level Simulation Optimization Approach for Quantile Functions, Wang S., Ng S.H., Haskell W.B. (2022)INFORMS Journal on Computing, 34(1), 569-585Download
Stochastic Optimization with Adaptive Restart: A Framework for Integrated Local and Global Learning, Mathesen L., Pedrielli G., Ng S.H., Zabinsky Z. (2021),Journal of Global Optimization, 79, 87-110Download
An Extended Two-Stage Sequential Optimization Approach: Properties and Performance, Pedrielli G., Wang S. Ng S.H. (2020)European Journal of Operational Research, 287(3), 929-945Download
Enhancing Response Predictions with a Joint Gaussian Process Model for Stochastic Simulation Models, Wang S., Ng S.H. (2020)ACM Transactions on Modeling and Computer Simulation, 30, no.1, Article 4Download
An Integrated Method for Simultaneous Calibration and Parameter Selection in Computer Models, Yuan J., Ng S.H. (2020)ACM Transactions on Modeling and Computer Simulation, 30, no.1, Article 7Download
Gaussian Process Based Optimization Algorithms with Input Uncertainty, Wang H., Yuan J., Ng S.H. (2020)IISE Transactions, 52(4), 377-393Download
A Data-driven Online Truncation Method for Transient Bias Reduction in Steady-State Simulations, Zhang N., Yuan J., Ng S.H. (2019)Computers and Industrial Engineering, 135, 723-745Download
Metamodel-based Optimization of Stochastic Computer Models for Engineering Design under Uncertain Objective Function, Li G., Tan M.H., Ng S.H., (2019)IISE Transactions, 51(5), 517-530Download
Validation and Prediction in Random Simulation Models, Yuan J., Ng S.H. (2015), CalibrationACM Transactions on Modeling and Computer Simulation, 25, no.3, Article 18Download
Simulation Optimization via Kriging: A Sequential Search using Expected Improvement with Computing Budget Constraints, Quan N., Yin J., Ng S.H., Lee L.H. (2013)IIE Transactions, 45, no.7, 763-780. Featured summary in the IE Magazine (February 2013)Download
A Sequential Approach for Stochastic Computer Model Calibration and Prediction, Yuan J., Ng S.H. (2013)Reliability Engineering and System Safety, 111, 273-286Download
Calibration of Stochastic Computer Models Using Stochastic Approximation Methods, Yuan J., Ng S.H., Tsui K.L. (2013)IEEE Transactions on Automation Science and Engineering, 10, no.1, 171-186Download
Bayesian Kriging Analysis and Design for Stochastic Simulations, Ng S.H., Yin J. (2012)ACM Transactions on Modeling and Computer Simulation, vol.22, no.3, Article 17Download
Kriging Metamodel with Modified Nugget-Effect: The heteroscedastic variance case, Yin J., Ng S.H. and Ng K.M. (2011)Computers & Industrial Engineering, 61, 760-777Download
A Systematic Comparison of Metamodeling Techniques for Simulation Optimization in Decision Support Systems, Li Y.F., Ng S.H., Xie M. and Goh T.N. (2010)Li Y.F., NgApplied Soft Computing, 10, 1257-1273 S.H., Xie M. and Goh T.N. (2010), A Systematic Comparison of Metamodeling Techniques for Simulation Optimization in Decision Support SystemsDownload
Two-stage computing budget allocation approach for the response surface method, Peng J., Lee L.H. and Ng S.H. (2007)International Transactions in Operational Research (ITOR), 14, no. 6, 457-473Download
Reducing parameter uncertainty in stochastic systems, Ng S.H. and Chick S.E. (2006)ACM Transactions on Modeling and Computer Simulation, 16, no. 1, 26-51Download

Maritime transport and efficiency

Impact analysis of environmental policies on shipping fleet planning under demand uncertainty, Chua J.Y., Soudagar I., Ng S.H., Meng Q. (2023)submitted
Reducing the carbon intensity of international shipping–the impact of energy efficiency measures, Sou S.W., Goh T., Lee X.N., Ng S.H., Chai K.H. (2022)Energy PolicyDownload
Driving Factors of Changes in International Maritime Energy Consumption: Microdata Evidence 2014 - 2017, Zhong S., Goh T., Ang B.W., Su B., Ng S.H., Chai K.H. (2021)Energy Policy, 154, 112288Download
Ship emission mitigation strategies choice under uncertainty, Yuan J., Wang H., Ng S.H., Nian V. (2020)Energies 13(9), 2213-2223Download
A Real Time Simulation Optimization Framework for Vessel Collision Avoidance, Pedrielli G., Xing Y., Peh J., Koh K.W., Ng S.H. (2019)IEEE Transactions on Intelligent Transportation Systems, 21(3), 1204-1215Download
A framework for real-time monitoring of energy efficiency of marine vessels, Chi H., Pedrielli G., Ng S.H., Kister T., Bressan S., (2018)Energy, 145, 246-260Download
Emission reduction measures ranking under uncertainty, Yuan J., Ng S.H. (2017)Applied Energy, 188, 270-279Download
Uncertainty quantification of CO2 emission reduction for maritime shipping, Yuan J., Ng S.H., Sou W.S. (2016)Energy Policy, 88, 113-130Download
Shipping efficiency comparison between Northern Sea Route and the conventional Asia-Europe shipping route via Suez Canal, Zhang Y., Meng Q., Ng S.H. (2016)Transport Geography, 57, 241-249Download
Optimal bunkering contract in a buyer–seller supply chain under price and consumption uncertainty, Pedrielli G., Lee L.H., Ng S.H. (2015)Transportation Research Part E: Logistics and Transportation Review, 77, 77-94Download
Bunkering decisions for a shipping liner in an uncertain environment with service contract, Ghosh S., Lee L.H., Ng S.H. (2015)European Journal of Operational Research, 244, no. 3, 792-802Download
A Study on Bunker Fuel Management for Shipping Liner Services, Yao Z., Ng S.H., Lee L.H. (2012)Computers & Operations Research, 39, 1160-1172Download

Quality and Reliability Engineering

Bayesian Optimal Designs for Efficient Estimation of the Optimum Point with Generalised Linear Models, Li G., Ng S.H., Tan M.H. (2020)Quality Technology & Quantitative Management, 17(1), 89-107Download
A Multilevel Zero-Inflated Model for the Study of Copper Hillocks Growth in Integrated Circuits Manufacturing, Li G., Tan K.K.R., Ng S.H., Chua D.H.C., (2018)IEEE Transactions on Semiconductor Manufacturing, 31(3), 385-394Download
A Study of N-version programming and its impact on software availability, Xie M., Xiong C., Ng S.H. (2014)International Journal of System Science, 45, no.10, 2145-2157Download
Multi-Objective Optimization Approaches to Software Release Time Determination, Li X., Xie M. and Ng S.H. (2012)Asia-Pacific Journal of Operational Research, 29, no. 3, 209-226Download
Element Maintenance and Allocation for Linear Consecutively Connected Systems, Peng R., Xie M., Ng S.H. and Levitin G. (2012)IIE Transactions, 44, no.11, 964-973Download
False targets vs. protection in defending parallel systems against unintentional and intentional impacts, Levitin G., Peng R., Xie M., Ng S.H. and Haim H.B. (2012)International Journal of Performability Engineering, 8(5), 465-478Download
Reliability Analysis and Optimal Version Updating for Open Source Software, Li X., Li Y.F., Xie M. and Ng S.H. (2011)Information and Software Technology, 53, no.9, 929-936Download
Risk-based Software Release Policy under Parameter Uncertainty, Xie M., Li X. and Ng S.H. (2011)Journal of Risk and Reliability, 225, no.1, 42-49Download
Optimal Defence of Single Object with Imperfect False Targets, Peng R., Levitin G., Xie M. and Ng S.H. (2011)Journal of the Operational Research Society, 62, no. 1, 134-141Download
Optimal Software Maintenance Policy considering Unavailable Time, Xiong C.J., Xie M. and Ng S.H. (2011)Journal of Software Maintenance and Evolution, 23, no. 1, 21-33Download
Sensitivity Analysis of Release Time of Software Reliability Models Incorporating Testing Effort with Multiple Change-points</b>, Li X., Xie M. and Ng S.H. (2010)Applied Mathematical Modeling, 34, no.11, 3560-3570Download
Defending Simple Series and Parallel Systems with Imperfect False Targets, Peng R., Levitin G., Xie M. and Ng S.H. (2010)Reliability Engineering and System Safety, 95, no.6, 679-688Download
Nonparametric CUSUM and EWMA control charts for detecting mean shifts, Li S.Y., Tang L.C. and Ng S.H. (2010)Journal of Quality Technology, 42, no. 2, 209-226Download
A Bayesian Model Averaging Approach for Multiple Response Optimization, Ng S.H. (2010)Journal of Quality Technology, 42, no. 1, 52-68Download
Estimation of the Mean and Variance Response Surfaces when the Means and Variances of the Noise variables are Unknown, Tan M.H.Y. and Ng S.H. (2009)IIE Transactions, 41, no. 11, 942-956Download
Reliability analysis and optimization of weighted voting systems with continuous states input, Long Q., Xie M., Ng S.H. and Levitin G. (2008)European Journal of Operational Research, 191, no. 1, 240-252Download
On the trend of remaining software defects estimation, Bai C.G., Cai K.Y., Hu Q.P. and Ng S.H. (2008)IEEE Transactions on Systems, Man, and Cybernetics Part A – Systems and Humans, 38, no. 5, 1129-1142Download
Uncertainty analysis in software reliability modeling by Bayesian approach with maximum-entropy principle, Dai Y.S., Xie M., Long Q. and Ng S.H. (2007)IEEE Transactions on Software Engineering, 33, no. 11, 781-795 Long Q. and Ng S.H. (2007), Uncertainty analysis in software reliability modeling by Bayesian approach with maximum-entropy principleDownload
Optimization of multiple response surfaces with secondary constraints for improving a radiography inspection process, Ng S.H., Xu K. and Wong W.K. (2007)Quality Engineering, 19, no. 1, 53-65Download
A study of software fault detection and correction modeling, Xie M., Hu Q.P., Wu Y.P. and Ng S.H. (2007)Quality and Reliability Engineering International, 23, no. 4, 459-470Download
Modeling and Analysis of Software Fault Detection and Correction Process by Considering Time Dependency, Wu Y.P., Hu Q.P., Xie M. and Ng S.H. (2007)IEEE Transactions on Reliability, 56, no. 4, 629-642Download
Robust recurrent neural network modeling for software fault detection and correction prediction, Hu Q.P., Xie M., Ng S.H. and Levitin G. (2007)Reliability Engineering and System Safety, 92, no. 3, 332-340Download
Software Reliability Predictions using Artificial Neural Networks, Hu Q.P., Xie M. and Ng S.H. (2007)Studies in Computational Intelligence, 40, 197-222Download
A statistical investigation and optimization of an industrial radiography inspection process for aero-engine components, Wong W.K., Ng S.H. and Xu K. (2006)Quality and Reliability Engineering International, 22, no.3, 321-334Download
Software failure prediction based on a Markov Bayesian network model, Bai C.G., Hu Q.P., Xie M. and Ng S.H. (2005)Journal of Systems and Software, 74, no. 3, 275-282Download
Reliability and modelling of systems integrated with firmware and hardware, Zhang T., Xie M., Tang L.C. and Ng S.H. (2005)International Journal of Reliability, Quality and Safety Engineering, 12, no. 3, 227-240Download
A model for correlated failures in N-version programming, Dai Y.S., Xie M., Poh K.L. and Ng S.H. (2004)IIE Transactions, 36, no. 12, 1183-1192Download
Design of follow-up experiments for improving model discrimination and parameter estimation, Ng S.H. and Chick S.E. (2004)Naval Research Logistics, 51, no. 8, 1129-1148Download

Selected articles in published conference proceedings

A Gaussian Process Based Algorithm for Stochastic Simulation Optimization with Input Distribution Uncertainty, Wang H., Ng S.H., Zhang X. (2020)Proceedings of the Winter Simulation Conference 2020Download
Stochastic Gaussian Process Model Averaging for High Dimensional Inputs, Xuereb M., Ng S.H., Pedrielli G. (2020)Proceedings of the Winter Simulation Conference 2020Download
Partition Based Bayesian Optimization for Stochastic Simulations, Wang S., Ng S.H. (2020)Proceedings of the Winter Simulation Conference 2020Download
Quantile Simulation Optimization with a Stochastic Co-Kriging Model, Wang S., Ng S.H., Haskell W.B. (2018)Proceedings of the Winter Simulation Conference 2018Download
Informational Approach to Global Optimization with Input Uncertainty for Homoscedastic Stochastic Simulation, Wang H., Yuan J., Ng S.H. (2018)Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering (received outstanding paper award)Download
A joint Gaussian process metamodel to improve quantile predictions, Wang S., Ng S.H. (2017)Proceedings of the Winter Simulation Conference 2017Download
Trust region based stochastic optimization with adaptive restart: A family of global optimization algorithms, Mathesen L., Pedrielli G., Ng S.H. (2017)Proceedings of the Winter Simulation Conference 2017Download
Enhancing pattern search for global optimization with an additive global and local Gaussian Process model, Meng Q., Ng S.H. (2017)Proceedings of the Winter Simulation Conference 2017Download
Combined global and local method for stochastic simulation optimization with an AGLGP model, Meng Q., Ng S.H. (2016)Proceedings of the Winter Simulation Conference 2016Download
An Additive Global and Local Gaussian Process Model for Large Data Sets, Meng Q., Ng S.H. (2015)Proceedings of the Winter Simulation Conference 2015Download
Kriging-based Simulation Optimization: A Stochastic Recursion Perspective, Pedrielli G., Ng S.H. (2015)Proceedings of the Winter Simulation Conference 2015Download
SNAT: Simulation-Based Search for Navigational Safety. The case of Singapore Strait, Chen X.Y., Pedrielli G., Ng S.H. (2014)Proceedings of the Winter Simulation Conference 2014, Pages 589-600, Institute of Electrical and Electronics Engineers. Savannah, USADownload
An Entropy Based Sequential Calibration Approach for Stochastic Computer Models, Yuan J., Ng S.H. (2013)Proceedings of the Winter Simulation Conference 2013, Pages 589-600, Institute of Electrical and Electronics Engineers. Washington D.C., USADownload
A Bayesian Metamodeling Approach for Stochastic Simulations, Yin J., Ng S.H., Ng K.M. (2010)Proceedings of the Winter Simulation Conference 2010, Pages 1055-1066, Institute of Electrical and Electronics Engineers. Baltimore, MD, USADownload
A Study on the Effects of Parameter Estimation on Kriging Model’s Prediction Error in Stochastic Simulations, Yin J., Ng S.H., Ng K.M. (2009)Proceedings of the Winter Simulation Conference 2009, Pages 674-685, Institute of Electrical and Electronics Engineers. Austin, Texas, USADownload
Kriging Model with Modified Nugget Effect, Yin J., Ng S.H., Ng K.M. (2008)Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management 2008, Pages 1714-1718, Institute of Electrical and Electronics Engineers. SingaporeDownload
Reliability Analysis of Weighted Voting Systems with Continuous State Input, Long Q., Xie M. and Ng S.H. (2006)Proceedings of the first IEEE International Conference on System Integration and Reliability Improvements. Hanoi, VietnamDownload
Early software reliability prediction with extended ANN model, Hu Q.P., Dai Y.S., Xie M. and Ng S.H. (2006)Proceedings of the IEEE International Computer Software and Applications Conference. Pages 1325-1331. Chicago, Illinois, USADownload
Reliability and modeling of systems integrated with firmware and hardware, Zhang T.L., Xie M., Tang L.C. and Ng S.H. (2004)Proceedings of 2004 Asian International Workshop on Advanced Reliability Modeling, Pages 617-624. Hiroshima City, Japan (received the best paper award)Download
Benchmarking of a Stochastic Production Planning Model in a Simulation Testbed, Riano G., Ng S.H., Serfozo R., Hackman S., Lendermann P., Chan L.P. (2003)Proceedings of the Winter Simulation Conference 2003, Volume 2, Pages 1183-1191, Institute of Electrical and Electronics Engineers. New Orleans, Louisiana, USADownload
Joint Criterion for Factor Identification and Parameter Estimation, Chick S.E., Ng S.H. (2002)Proceedings of the Winter Simulation Conference 2002, Volume 1, Pages 400-406, Institute of Electrical and Electronics Engineers. San Diego, California, USADownload
Reducing Input Parameter Uncertainty for Simulations, Ng S.H., Chick S.E. (2001)Proceedings of the Winter Simulation Conference 2001, Volume 1, Pages 364-371, Institute of Electrical and Electronics Engineers. Arlington, Virginia, USADownload