Title: A computer-aided system for monitoring quality using traceable information

Authors: Abdesselam Bougdira; Ismail Akharraz; Abdelaziz Ahaitouf

Addresses: Laboratory of Engineering Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco ' Laboratory of Engineering Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco ' Laboratory of Engineering Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco

Abstract: This paper proposes the usage of traceability data to enhance the continuous evaluation and monitoring of quality. The current study focuses on processing activities where it is difficult to detect and evaluate the possible degradation of quality. It has indeed a special interest in possible gaps that are not bridged by existing quality methods and practices, especially tasks that involve significant physical contact with manual labour. Therefore, this research introduces a computer-aided system that combines ontology-based knowledge with a fuzzy-based decision-making process. The proposed model can ensure the main traceability functions, including identifying, tracing, and tracking. Also, it can handle the various attributes associated with processing activities to assess the possible loss of quality. In case of unconformity, this monitoring function enables decision-makers to intervene appropriately. The developed system has also been illustrated through a fish canning case study.

Keywords: artificial intelligence; fuzzy computing; ontology; traceability; canning industry.

DOI: 10.1504/IJCAET.2023.127784

International Journal of Computer Aided Engineering and Technology, 2023 Vol.18 No.1/2/3, pp.19 - 38

Received: 31 Mar 2020
Accepted: 03 May 2020
Published online: 19 Dec 2022 *

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