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Michael B. C. Khoo

Michael B. C. Khoo

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Mathematics
Malaysia
2026

D-Index & Metrics

Mathematics

D-Index
38
Citations
5935
World Ranking
2349
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Mathematics in Malaysia Leader Award
  • 2025 - Research.com Mathematics in Malaysia Leader Award

Overview

Michael B. C. Khoo is affiliated with Universiti Sains Malaysia in Malaysia, with a research focus primarily in the field of Decision Sciences and its application to statistical methodologies and process monitoring.

The main fields of study that characterize their work include:

  • Decision Sciences

Within this broad area, their subfields of specialization are:

  • Statistics, Probability and Uncertainty
  • Statistics and Probability
  • Control and Systems Engineering
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Their research topics cover specific aspects of statistical and operational methodologies:

  • Advanced Statistical Process Monitoring
  • Scientific Measurement and Uncertainty Evaluation
  • Advanced Statistical Methods and Models
  • Fault Detection and Control Systems
  • Optimal Experimental Design Methods
  • Manufacturing Process and Optimization
  • Quality and Safety in Healthcare

Michael B. C. Khoo has published extensively in various scientific journals. Frequent publication venues include:

  • Quality and Reliability Engineering International
  • Communications in Statistics - Simulation and Computation
  • Computers & Industrial Engineering
  • Journal of Statistical Computation and Simulation
  • Quality Technology & Quantitative Management

Some of their recent papers are:

  • Monitoring the coefficient of variation: A literature review, 2021, Computers & Industrial Engineering
  • Simultaneous monitoring of magnitude and time-between-events data with a Max-EWMA control chart, 2020, Computers & Industrial Engineering
  • Performance of the MEWMA-CoDa control chart in the presence of measurement errors, 2020, Quality and Reliability Engineering International
  • Requirements, challenges and impacts of Lean Six Sigma applications - a narrative synthesis of qualitative research, 2020, International Journal of Lean Six Sigma
  • Optimal designs of the exponentially weighted moving average (EWMA) median chart for known and estimated parameters based on median run length, 2020, Communications in Statistics - Simulation and Computation

Collaborations form an important part of Michael B. C. Khoo's research activities. Frequent co-authors include:

  • Sajal Saha
  • Abdul Haq
  • Wai Chung Yeong
  • Zhi Lin Chong
  • Ming Ha Lee

Best Publications

  • Monitoring the coefficient of variation: A literature review

    Zahra Jalilibal;Amirhossein Amiri;Philippe Castagliola;Michael B.C. Khoo

  • Optimization designs of the combined Shewhart-CUSUM control charts

    Zhang Wu;Mei Yang;Wei Jiang;Michael B. C. Khoo

  • The synthetic [Xbar] chart with estimated parameters

    Ying Zhang;Philippe Castagliola;Zhang Wu;Michael B.C. Khoo

  • A synthetic double sampling control chart for the process mean

    Michael B.C. Khoo;How Chinh Lee;Zhang Wu;Chung-Ho Chen

  • A Moving Average Control Chart for Monitoring the Fraction Non‐conforming

    Michael B. C. Khoo

  • An efficient adaptive EWMA control chart for monitoring the process mean

    Abdul Haq;Rabia Gulzar;Michael B. C. Khoo

  • Design of Runs Rules Schemes

    Michael B. C. Khoo

  • Run-sum control charts for monitoring the coefficient of variation

    Wei Lin Teoh;Michael Boon Chong Khoo;Philippe Castagliola;Wai Chung Yeong

  • Monitoring Process Mean and Variability with One Double EWMA Chart

    Michael B. C. Khoo;Sin Yin Teh;Zhang Wu

  • A new synthetic control chart for monitoring process mean using auxiliary information

    Abdul Haq;Michael B.C. Khoo

  • A control chart for the multivariate coefficient of variation

    Wai Chung Yeong;Michael Boon Chong Khoo;Wei Lin Teoh;Philippe Castagliola

  • Optimal design of the synthetic chart for the process mean based on median run length

    Michael B. C. Khoo;V. H. Wong;Zhang Wu;Philippe Castagliola

  • Optimal design of the double sampling X chart with estimated parameters based on median run length

    W. L. Teoh;Michael B. C. Khoo;Philippe Castagliola;S. Chakraborti

  • Two Improved Runs Rules for the Shewhart X¯ Control Chart

    Michael B. C. Khoo;Khotrun Nada bt. Ariffin

  • A combined synthetic&X chart for monitoring the process mean

    Zhang Wu;Yanjing Ou;Philippe Castagliola;Michael B.C. Khoo

  • An np control chart for monitoring the mean of a variable based on an attribute inspection

    Zhang Wu;Michael B.C. Khoo;Lianjie Shu;Wei Jiang

  • The Effect of Measurement Errors on the Synthetic x̄ Chart

    XueLong Hu;Philippe Castagliola;Jinsheng Sun;Michael B.C. Khoo

  • A Control Chart Based on Sample Median for the Detection of a Permanent Shift in the Process Mean

    Michael B. C. Khoo

  • A New Bivariate Control Chart to Monitor the Multivariate Process Mean and Variance Simultaneously

    Michael B.C. Khoo

  • A study of time‐between‐events control chart for the monitoring of regularly maintained systems

    Michael B. C. Khoo;Min Xie

  • Monitoring the Coefficient of Variation Using a Variable Sampling Interval EWMA Chart

    W. C. Yeong;Michael B. C. Khoo;L. K. Tham;W. L. Teoh

  • Monitoring the coefficient of variation using a variable sample size and sampling interval control chart

    Khai Wah Khaw;Michael B. C. Khoo;Wai Chung Yeong;Zhang Wu

Frequent Co-Authors

Philippe Castagliola
Philippe Castagliola University of Nantes
Zhang Wu
Zhang Wu Nanyang Technological University
Min Xie
Min Xie City University of Hong Kong

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