Equipment replacement analysis: a literature review and directions for future research JC Hartman, CH Tan The Engineering Economist 59 (2), 136-153, 2014 | 112 | 2014 |
Toward sustainable environmental quality: priority research questions for Asia KMY Leung, KWY Yeung, J You, K Choi, X Zhang, R Smith, GJ Zhou, ... Environmental toxicology and chemistry 39 (8), 1485-1505, 2020 | 60 | 2020 |
Moving sum of number of positive patient result as a quality control tool J Liu, CH Tan, T Badrick, TP Loh Clinical Chemistry and Laboratory Medicine (CCLM), 2017 | 55 | 2017 |
Moving standard deviation and moving sum of outliers as quality tools for monitoring analytical precision J Liu, CH Tan, T Badrick, TP Loh Clinical biochemistry 52, 112-116, 2018 | 50 | 2018 |
Detecting long-term drift in reagent lots J Liu, CH Tan, TP Loh, T Badrick Clinical chemistry 61 (10), 1292-1298, 2015 | 35 | 2015 |
A mean-shift algorithm for large-scale planar maximal covering location problems Z He, B Fan, TCE Cheng, SY Wang, CH Tan European Journal of Operational Research 250 (1), 65-76, 2016 | 33 | 2016 |
Verification of out-of-control situations detected by “average of normal” approach J Liu, CH Tan, TP Loh, T Badrick Clinical Biochemistry 49 (16), 1248-1253, 2016 | 27 | 2016 |
Equipment replacement analysis with an uncertain finite horizon CH Tan, JC Hartman IIE Transactions 42 (5), 342-353, 2010 | 25 | 2010 |
Missed detection of significant positive and negative shifts in gentamicin assay: implications for routine laboratory quality practices G Koerbin, J Liu, A Eigenstetter, CH Tan, T Badrick, TP Loh Biochemia medica 28 (1), 65-72, 2018 | 23 | 2018 |
Sensitivity analysis in Markov decision processes with uncertain reward parameters CH Tan, JC Hartman Journal of Applied Probability 48 (4), 954-967, 2011 | 17 | 2011 |
Simulating an agent’s decision-making process in black-box managerial environment: An estimation-and-optimisation approach Z He, C Luo, CH Tan, H Wu, B Fan Journal of Simulation 13 (2), 111-127, 2019 | 9 | 2019 |
Weighted Almost Stochastic Dominance: Revealing the Preferences of Most Decision Makers in the St. Petersburg Paradox CH Tan Decision Analysis 12 (2), 74-80, 2015 | 9 | 2015 |
Sensitivity analysis and dynamic programming CH Tan, JC Hartman Wiley Encyclopedia of Operations Research and Management Science, 2010 | 7 | 2010 |
Almost Stochastic Dominance for Most Risk-Averse Decision Makers C Luo, CH Tan Decision Analysis 17 (2), 169-184, 2020 | 6 | 2020 |
Clear Preferences Under Partial Distribution Information CH Tan, C Luo Decision Analysis 14 (1), 65-73, 2017 | 5 | 2017 |
Stochastic dominance, regret dominance and regret-theoretic dominance CH Tan, JC Hartman EURO Journal on Decision Processes 1 (3-4), 285-297, 2013 | 5 | 2013 |
An Almost Robust Model for Minimizing Disruption Exposures in Supply Systems K Zhao, TS Ng, CH Tan, CK Pang European Journal of Operational Research, 2021 | 4 | 2021 |
Bayesian approach to guide termination of retrospective retesting after detection of a systematic quality control failure CH Tan, G Han, TP Loh, T Badrick Clinica Chimica Acta 437, 52-57, 2014 | 4 | 2014 |
Service quality comparison CH Tan, G Han, TN Goh Theory and Practice of Quality and Reliability Engineering in Asia Industry …, 2017 | 3 | 2017 |
3 Modeling technological change in equipment replacement models JC Hartman, CH Tan Optimal control of age-structured populations in economy, demography, and …, 2010 | 3 | 2010 |