ENBIS-23 Valencia Conference

Session

CONTRIBUTED Quality 3

13 Sept 2023, 11:05

2.12

Conveners

CONTRIBUTED Quality 3

• Jeroen de Mast (University of Waterloo + JADS)

100. Recent Developments on Distribution-Free Phase-I Monitoring - An Overview and Some New Results

Amitava Mukherjee (XLRI -Xavier School of Management)

13/09/2023, 11:05

Quality

Phase-I monitoring plays a vital role as it helps to analyse the process stability retrospectively using a set of available historical samples and obtaining a benchmark reference sample to facilitate Phase-II monitoring. Since, at the very beginning process state and its stability is unknown, trying to assume a parametric model to the available data (which could be well-contaminated) is...

157. bayespm: BAYESian Process Monitoring in R

Prof. Panagiotis Tsiamyrtzis (Dept. of Mechanical Engineering, Politecnico di Milano, Italy & Dept. of Statistics, Athens University of Economics and Business, Greece)

13/09/2023, 11:25

Quality

The univariate Bayesian approach to Statistical Process Control/Monitoring (BSPC/M) is known to provide control charts that are capable of monitoring efficiently the process parameters, in an online fashion from the start of the process i.e., they can be considered as self-starting since they are free of a phase I calibration. Furthermore, they provide a foundational framework that utilizes...

112. Scalar-On-Function Regression Control Chart Based on a Functional Neural Network

Gianluca Sposito (Department of Industrial Engineering, University of Naples Federico II, Naples, Italy)

13/09/2023, 11:45

Quality

Modern data acquisition systems allow for collecting signals that can be suitably modelled as functions over a continuum (e.g., time or space) and are usually referred to as profiles or functional data. Statistical process monitoring applied to these data is accordingly known as profile monitoring. The aim of this research is to introduce a new profile monitoring strategy based on a...