ENBIS-26 Conference

Session

ISEA Session - Statistical Engineering

Sep 8, 2026, 2:00 PM

Conveners

ISEA Session - Statistical Engineering

• Inez Zwetsloot (University of Amsterdam)

11. XAI for signal diagnosis in SPM

Inez Zwetsloot (University of Amsterdam)

9/8/26, 2:00 PM

Other/special session/invited session

Artificial Intelligence (AI) has shown become very popular as modelling strategy within statistical process monitoring (SPM), particularly in detecting abnormal process behaviours. However, for existing AI-based SPM methods, diagnosing features associated with signal remains challenging, as traditional diagnosis methods are not directly applicable. This lack of diagnosis makes it difficult to...

107. Assessing inter-rater reliability of LLMs with the probability of agreement

Nathaniel Stevens (University of Waterloo)

9/8/26, 2:30 PM

Other/special session/invited session

Inter-rater reliability, the quantification of agreement between individuals who assign scores to the same phenomenon, is an important consideration in all fields for which data drives decision-making (e.g., business and industry, healthcare, social and behavioural sciences, education, etc.). Traditionally, the raters scoring the phenomenon have been human beings. With the proliferation of AI,...

111. A Cooperative Framework for Raw Material Acceptance: Integrating Supplier and Customer Perspectives via SMB-PLS

Alberto J. Ferrer-Riquelme (Universitat Politècnica de València, Spain)

9/8/26, 3:00 PM

Other/special session/invited session

The increasing digitalization of manufacturing processes is transforming the relationship between raw material suppliers and customers. Rather than defining rigid specifications that often lead to unnecessary rejection of raw material lots, Industry 4.0 opens the door to more collaborative and knowledge-driven strategies. In this context, multivariate raw material specifications should not be...