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Philippe Castagliola

Philippe Castagliola

D-Index & Metrics

Mathematics

D-Index
46
Citations
8218
World Ranking
1366
National Ranking
73

Overview

Philippe Castagliola is affiliated with the University of Nantes in France, focusing primarily on decision sciences with a substantial number of publications in related fields. Their research interests span statistics, probability, and uncertainty, as well as control and systems engineering.

Their work covers several subfields, including:

  • Statistics, Probability and Uncertainty
  • Statistics and Probability
  • Control and Systems Engineering
  • Medical Laboratory Technology
  • Management Science and Operations Research

Key topics addressed by Castagliola include:

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

Castagliola has contributed to a range of journals, with frequent publications in:

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

Recent papers demonstrate a focus on statistical process control and measurement error impacts, including:

  • Monitoring the coefficient of variation: A literature review, 2021, Computers & Industrial Engineering
  • Performance of the MEWMA-CoDa control chart in the presence of measurement errors, 2020, Quality and Reliability Engineering International
  • On the effect of the measurement error on Shewhart t and EWMA t control charts, 2020, The International Journal of Advanced Manufacturing Technology
  • Generally weighted moving average monitoring schemes: Overview and perspectives, 2020, Quality and Reliability Engineering International
  • A distribution-free EWMA control chart for monitoring time-between-events-and-amplitude data, 2020, Journal of Applied Statistics

Collaborations constitute an important part of their research activity, with frequent co-authors including:

  • Jean-Claude Malela-Majika
  • Michael B. C. Khoo
  • Xuelong Hu
  • Sandile Charles Shongwe
  • Anan Tang

Best Publications

  • A Comparison of the Readability of Graphs Using Node-Link and Matrix-Based Representations

    M. Ghoniem;J.-D. Fekete;P. Castagliola

  • On the readability of graphs using node-link and matrix-based representations: a controlled experiment and statistical analysis

    Mohammad Ghoniem;Jean-Daniel Fekete;Philippe Castagliola

  • Monitoring the Coefficient of Variation Using EWMA Charts

    Philippe Castagliola;Giovanni Celano;Stelios Psarakis

  • Some Recent Developments on the Effects of Parameter Estimation on Control Charts

    Stelios Psarakis;Angeliki K. Vyniou;Philippe Castagliola

  • Monitoring the coefficient of variation: A literature review

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

  • An EWMA chart for monitoring the process standard deviation when parameters are estimated

    Petros E. Maravelakis;Philippe Castagliola

  • Effect of measurement error and autocorrelation on the X¯ chart

    Antonio F. B. Costa;Philippe Castagliola

  • A New S2‐EWMA Control Chart for Monitoring the Process Variance

    Philippe Castagliola

  • Measurement errors in statistical process monitoring

    Mohammad Reza Maleki;Amirhossein Amiri;Philippe Castagliola

  • The synthetic [Xbar] chart with estimated parameters

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

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

    Philippe Castagliola;Ali Achouri;Hassen Taleb;Giovanni Celano

  • A synthetic double sampling control chart for the process mean

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

  • An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme

    Mohammad Reza Maleki;Amirhossein Amiri;Philippe Castagliola

  • Shewhart and EWMA t control charts for short production runs

    Giovanni Celano;Philippe Castagliola;Enrico Trovato;Sergio Fichera

  • Evaluation of Non-Normal Process Capability Indices Using Burr's Distributions

    Philippe Castagliola

  • Monitoring the Coefficient of Variation Using Control Charts with Run Rules

    Philippe Castagliola;Ali Achouri;Hassen Taleb;Giovanni Celano

  • On t and EWMA t charts for monitoring changes in the process mean

    Lingyun Zhang;Gemai Chen;Philippe Castagliola

  • A CUSUM control chart for monitoring the variance when parameters are estimated

    Philippe Castagliola;Petros E. Maravelakis

  • Monitoring the coefficient of variation using a variable sample size control chart in short production runs

    Asma Amdouni;Philippe Castagliola;Hassen Taleb;Giovanni Celano

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

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

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

    Philippe Castagliola;Ali Achouri;Hassen Taleb;Giovanni Celano

Frequent Co-Authors

Michael B. C. Khoo
Michael B. C. Khoo Universiti Sains Malaysia
Zhang Wu
Zhang Wu Nanyang Technological University
Jean-Daniel Fekete
Jean-Daniel Fekete French Institute for Research in Computer Science and Automation - INRIA
Fugee Tsung
Fugee Tsung Hong Kong University of Science and Technology
Christian Prins
Christian Prins University of Technology of Troyes
André Langevin
André Langevin Polytechnique Montréal
Alexandre Dolgui
Alexandre Dolgui IMT Atlantique
Narayanaswamy Balakrishnan
Narayanaswamy Balakrishnan McMaster University

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