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Critical factor identification for quality improvement in multi-stage manufacturing: a textile industry case study
No full textInternational audienceQuality improvement is a particularly challenging engineering problem, particularly in multistage manufacturing where various processes and activities are performed. The interdependence between these activities and other factors, such as the nature of raw materials, variations in product characteristics, operator qualifications, and machinery, propagates defects and complicates their identification. To address these challenges, this paper presents a generic framework for identifying critical factors that impact product quality, applied to a real-world case study of the dyeing process in textile manufacturing. The framework integrates root cause analysis and statistical analysis, providing a systematic procedure to identify underlying quality issues and the potential factors causing them. An experimental study has illustrated the effectiveness of the proposed methodology. This framework contributes by equipping decision-makers with a methodology to define critical factors needing more effort for improving quality performance characteristics, enabling them to better understand and develop design solutions
A multi-round combinatorial double auction for carrier collaboration with carbon emission permits trading in less than truckload transportation
No full textInternational audienceThe road transportation contributes to a large portion of global carbon emissions each year. This carbon emission can be significantly reduced through collaboration among carriers. In this paper, a multi-round combinatorial double auction with both requests exchange and carbon emission permits trading is proposed for carrier collaboration, where each carrier may play a double role as both a seller and a buyer. In each round of the auction, the auctioneer announces the outsourcing price of each request and the unit trading price of emission permits. Each carrier then determines and bids for mutually exclusive request bundles to outsource and insource, along with their maximum and minimum trading volumes of emission permits. After receiving the supply and demand bids, the auctioneer tentatively reassigns requests and reallocates emission permits among carriers. At the end of each round, the outsourcing price of each request and the unit trading price of emission permits are updated based on the bids in previous rounds. Computational study shows that the proposed auction can generate more profits to carriers and reduce total carbon emissions significantly
Small lunar crater detection using a few-shot object detection approach with Vision Transformer
No full textInternational audienceCraters are among the most prominent features on the lunar surface, and their importance to the European Space Agency’s (ESA) planned lunar landings highlights the need for further investigation into the detection of small lunar craters. The rugged lunar terrain and varying lighting conditions make this task particularly challenging, and it is a major focus of current research. The application of deep learning methods is the most common approach in this field. In general, deep learning approaches rely on a sufficiently well-labeled dataset to achieve optimal performance. However, there is currently no common benchmark dataset specifically designed for small lunar craters, which presents a significant challenge for advancing research in this area. We present a novel method for detecting small lunar craters by utilizing and adapting the few-shot object detection capabilities of the OWLv2 model, based on a Vision Transformer (ViT), eliminating the need for a large labeled dataset. Our method is tested on high-resolution Lunar Reconnaissance Orbiter Camera (LROC) Calibrated Data Record (CDR) images, which offer resolutions as fine as 0.5 m/pixel, ensuring detailed analysis and evaluation. We do not fine-tune the OWLv2 model but instead modify the similarity score calculation method. We achieve promising visual results, along with recall and precision values of 0.83 and 0.64, respectively, tested on a sample from the labeled dataset of the IMPACT project
Fulfilment as a Driver for Socio-Ecological Transformation in Engineering Schools: An Ikigai Approach
No full textInternational audience//BEST ORAL PRESENTATION OF THE 2025 TS3 SYMPOSIUM//An increasing number of engineering graduates are taking some form of bifurcation after building up their knowledge of socio-ecological issues. As a result, engineering schools are integrating new courses into their programs to raise awareness among all their students, who are struggling to see how they could contribute to solve these issues. This has a deceptive effect and can reinforce the cognitive dissonance felt by students. Our main hypothesis is based on the fact that it is through self-awareness that students will be able to identify how they can be useful in society and contribute to solving global problems. We propose to apply the Ikigai concept in engineering schools, in order to support students in their search for a societal problem enabling them to find coherence between global issues, their skills, their personal life experience and professional integration. One of the benefits of this approach is to empower students when facing societal challenges, while inviting them to prepare for their future fulfilment. Over the next few years, we will need to measure the impact of this approach on the career paths of the students that benefited from our support
Blockchain-Based Federated Learning for Enhanced Cyber-Threats Detection in Connected Vehicles
No full textInternational audienc
Bridging coordination practices and digital infrastructure in French Community Health Centers – A Renewal of Primary Care Information Systems
No full textInternational audienceThis work investigates how labeled information systems support—or fail to support—coordination and documentation in French community health centers (“Centres de Santé”, CDS), where healthcare professionals are salaried rather than paid per service. These centers offer a unique configuration for studying coordination practices, as they allow staff to devote more time to these non-remunerated but essential collective tasks. Based on an ongoing ethnographic study, we report preliminary findings from interviews and observations conducted in one CDS. Our results highlight the central role of non-medical staff in managing information flows, the predominance of diverse artefacts (e.g., paper notes, verbal exchanges) to cope with the limitations of the current labelled information system in supporting actual workflows. We also explore how misalignments between software editors and organizational needs could affect care practices. These initial insights will inform the co-design of an alternative infrastructure and guide future engagement with software vendors
A Method for Modeling Knowledge to Preserve Cultural Heritage
No full textInternational audienceThis paper explores the implementation of a policy promoting new cooperative practices in the primary care sector. Through a two-year multi-sited ethnographic study of Multi-Professional Healthcare Centers (MPHCs) and their coordination mechanisms, we highlight the gaps between the coordinative protocols that prescribe how these structures operate, and the certified Health Information System (HIS) that has been defined by public authorities to support the new practices. These gaps make us say that the policy knot - that entangles policy, practice, and design - broke. To understand why, we studied the biography of the certified HIS and identified that it is based on the practice of general medicine only. Without simply concluding that public policy has failed because of the system's shortcomings, we reveal the human effort involved in compensating for the HIS's inability to support the articulation work required for multi-professional coordination. Based on this empirical contribution, we offer the policy-oriented technological frame as a concept to make sense of IT in public health, and the congruence loop as a guideline to avoid the breakage of a policy knot
A Situational Method Engineering description of a Sustainability Assessment Framework based upon Model-Based System Engineering
No full textInternational audienceA Situational Method Engineering description of a Sustainability Assessment Framework based upon Model-Based System Engineerin
Détection intelligente des chutes : Une approche sans capteur basée sur les informations de l'état du canal WiFi
No full textInternational audienceDétection intelligente des chutes : Une approche sans capteur basée sur les informations de l'état du canal WiF
A dual-stream neural network model for classifying electroencephalogram signals
No full textInternational audienceA dual-stream neural network model for classifying electroencephalogram signal