Data quality challenges in dashboard development in industry 4.0 context: an engineering-to-order manufacturing case study

Houitte, Difanrsé Rebecca, Boukherroub, Tasseda, Ameyed, Darine et Moise, Alexandre. 2023. « Data quality challenges in dashboard development in industry 4.0 context: an engineering-to-order manufacturing case study ». In CIGI Qualita MOSIM : Propulser la performance - Interconnectivité et collaboration dans un contexte d'intelligence artificielle (Trois-Rivières, QC, Canada, June 14-16, 2023)

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Résumé

The use of dashboards has become increasingly prevalent as a means of providing real-time information and decision-making support across various industries, particularly in the context of industry 4.0. This study examines the feasibility of creating a dashboard for an engineering-to-order (ETO) manufacturing factory to support its transition toward a smart factory. It highlights the challenges that could be encountered in this process. In ETO factories, products are highly customized to match the specifications of the clients, which can make performance monitoring difficult. Our study provides a roadmap for manufacturing factories aiming to develop their dashboard and transform themselves into smart factories. It shows that a rigorous analysis of data quality is essential to ensure the accuracy and reliability of the data required for performance measurement before creating a dashboard.

Type de document:	Compte rendu de conférence
Professeur:	Professeur Boukherroub, Tasseda
Affiliation:	Génie des systèmes
Date de dépôt:	12 juill. 2023 19:53
Dernière modification:	17 juill. 2023 14:08
URI:	https://espace2.etsmtl.ca/id/eprint/27034

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