Why this symposium?

For all companies worldwide, the quest for high quality products and services has clearly become a key point for business competitiveness. Among the numerous approaches used for improving the quality, Statistical Process Monitoring (SPM) plays a particularly important role. Furthermore, nowadays, the use of SPM methods is not restricted to industrial and business fields. SPM methods may be also used in many other fields (health, environment, etc.) providing new opportunities for research.

All around the world, there are many researchers who are developing new SPM methods, trying to implement them into real situations and publishing the results into international peer reviewed journals. But, surprisingly, for these researchers, there were no periodic meetings dedicated solely to this topic until July 2009, when the 1st International Symposium on Statistical Process Control (ISSPC 2009) was organized in Nantes, France.

A little bit of history

At the closing session of that first meeting, the participants decided to make ISSPC biennial, launching the ISSPC series of conferences. The 2nd ISSPC was held in Rio de Janeiro, Brazil, in July 2011. The 3rd ISSPC was held in Piraeus, Greece, in July 2013.

At the closing session in Piraeus, the participants decided to hold the 4th meeting in Padua, Italy, and proposed to change the name in International Symposium on Statistical Process Monitoring (ISSPM).

The 2021 edition was not held due to the COVID-19 pandemic. It was first postponed to 2022 and then again to 2023.

Past editions

ISSPC 2009 Nantes, France
ISSPC 2011 Rio de Janeiro, Brazil
ISSPC 2013 Piraeus, Greece
ISSPM 2015 Padua, Italy
ISSPM 2017 Seoul, South Korea
ISSPM 2019 Tunis, Tunisia

Topics covered

All SPM related topics are of interest, and in particular:

  • Univariate and multivariate SPM procedures (standard and nonstandard control charts, parametric and nonparametric procedures, Bayesian procedures, new procedures for special applications, etc.).
  • Design and optimization of Phase I and Phase II control charts (statistical-economic design of control charts, design of variable sample size control charts, etc.). Integration between SPM and capability analysis.
  • SPM for special types of processes (linear and nonlinear profiles, multi-stream processes, multi-stage processes, short production runs, batch processes, autocorrelated processes, etc.).
  • SPM applications (industry, health, environment, services, customer satisfaction evaluation, etc.).