Overlap in Automatic Root Cause Analysis in Manufacturing: An Information Theory-Based Approach

• Type: Article in International Scientific Journal
• Date: 2023

Authors

Oliveira, EE (Author) Other; Vera L. Miguéis (Author) FEUP; José Luís Moura Borges (Author) FEUP

Journal

Title: Applied Sciences

Vol. 13

Final page: 3416

Publisher: MDPI

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 2 Citations

Other information

Authenticus ID: P-00Y-1MR

DOI: 10.3390/app13063416

Abstract (EN): Automatic Root Cause Analysis solutions aid analysts in finding problems' root causes by using automatic data analysis. When trying to locate the root cause of a problem in a manufacturing process, an issue-denominated overlap can occur. Overlap can impede automated diagnosis using algorithms, as the data make it impossible to discern the influence of each machine on the quality of products. This paper proposes a new measure of overlap based on an information theory concept called Positive Mutual Information. This new measure allows for a more detailed analysis. A new approach is developed for automatically finding the root causes of problems when overlap occurs. A visualization that depicts overlapped locations is also proposed to ease practitioners' analysis. The proposed solution is validated in simulated and real case-study data. Compared to previous solutions, the proposed approach improves the capacity to pinpoint a problem's root causes.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 18