Novel Agent Based-approach for Industrial Diagnosis: A Combined use Between Case-based Reasoning and Similarity Measure

TitleNovel Agent Based-approach for Industrial Diagnosis: A Combined use Between Case-based Reasoning and Similarity Measure
Publication TypeJournal Article
Year of Publication2016
AuthorsBenkaddour, F. Z., N. Taghezout, and B. Ascar
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueRegular Issue
Volume4
Number2
Date Published12/2016
Pagination73-82
Abstract

In spunlace nonwovens industry, the maintenance task is very complex, it requires experts and operators collaboration. In this paper, we propose a new approach integrating an agent- based modelling with case-based reasoning that utilizes similarity measures and preferences module. The main purpose of our study is to compare and evaluate the most suitable similarity measure for our case. Furthermore, operators that are usually geographically dispersed, have to collaborate and negotiate to achieve mutual agreements, especially when their proposals (diagnosis) lead to a conflicting situation. The experimentation shows that the suggested agent-based approach is very interesting and efficient for operators and experts who collaborate in INOTIS enterprise.

KeywordsAgents, Case-Based Reasoning, Collaboration, Diagnosis
DOI10.9781/ijimai.2016.4211
URLhttp://www.ijimai.org/journal/sites/default/files/files/2016/11/ijimai20164_2_11_pdf_12710.pdf
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