TY - GEN
T1 - Developing a Performance Indicator System for Tool Management for Manufacturing Factories
AU - Houssou, Houetehou Alexandre
AU - Boukherroub, Tasseda
AU - Maizi, Yasmina
AU - Danjou, Christophe
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - In the competitive landscape of the manufacturing industry, particularly with the emergence of Industry 4.0, effective tool management is essential for enhancing productivity in factories, especially those specializing in mechanical manufacturing that rely on a wide range of tools, and increasing operational performance. This article proposes a performance indicators system aiming at evaluating factories in terms of tool management effectiveness. One of the goals is to reduce the time spent on recurring issues, notably those related to tool traceability, allowing teams to focus more on value-Added activities. Our methodology is based on a literature review, interviews performed with managers from an institutional factory and an SME, and finally, a selection of indicators tailored to the manufacturing context.
AB - In the competitive landscape of the manufacturing industry, particularly with the emergence of Industry 4.0, effective tool management is essential for enhancing productivity in factories, especially those specializing in mechanical manufacturing that rely on a wide range of tools, and increasing operational performance. This article proposes a performance indicators system aiming at evaluating factories in terms of tool management effectiveness. One of the goals is to reduce the time spent on recurring issues, notably those related to tool traceability, allowing teams to focus more on value-Added activities. Our methodology is based on a literature review, interviews performed with managers from an institutional factory and an SME, and finally, a selection of indicators tailored to the manufacturing context.
KW - Manufacturing factory
KW - Performance indicators
KW - Production
KW - Tooling management
UR - https://www.scopus.com/pages/publications/105036872845
U2 - 10.1109/CAISAIS68078.2025.11440753
DO - 10.1109/CAISAIS68078.2025.11440753
M3 - Contribution to conference proceedings
AN - SCOPUS:105036872845
T3 - 2025 International Conference on Artificial Intelligence Science and Applications in Industry and Society, CAISAIS 2025
BT - 2025 International Conference on Artificial Intelligence Science and Applications in Industry and Society, CAISAIS 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 International Conference on Artificial Intelligence Science and Applications in Industry and Society, CAISAIS 2025
Y2 - 9 December 2025 through 11 December 2025
ER -