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Exact resolution for the unrelated parallel machine scheduling problem with flexible maintenance and human operators planning
No full textInternational audienceThis study addresses a novel parallel machine scheduling problem where machines undergo periodic, flexible maintenance needing human operators. Operators differ in competence and availability, affecting maintenance execution and planning feasibility. We focus on optimizing a weighted objective function encompassing both production and maintenance. Indeed, we aim to minimize the sum of production tardiness and the maintenance earliness-tardiness. To tackle this problem, we introduce two mathematical models: one based on Mixed-Integer Linear Programming (MILP) and the other on Constraint Programming (CP). Both models are solved using IBM ILOG Cplex 22.1, demonstrating the effectiveness of the CP modelling in managing this complex scheduling problem
Combining FEM and Machine Learning Algorithms for Reliability Prediction of Solder Ball Joints in BGA Packages
No full textInternational audienceThis paper presents a comprehensive approach for reliability assessment of solder ball joints in Ball Grid Array (BGA) assemblies by combining finite element method (FEM) with machine learning algorithms, for instance, exploiting the power of Artificial Neural Networks (ANNs). The ANNs predictive model achieved a high score of R-square metric (0.9968 for training data, 0.9122 for test data) and low root mean square error values (43.85 for training data, 141.54 for test data), indicating robust predictive performance. In the context of the study's methodology, the ANNs model was constructed and evaluated systematically, including the analysis of loss curves and partial dependence plots (PDPs) to interpret the influence of specific solder ball geometry parameters. The results demonstrate the effectiveness of ANNs in predicting the lifetime of solder balls, implying their potential for improving reliability investigations and predictive maintenance approaches in electronics engineering
Apport de la modélisation dans un projet de conception: rendre compte de l'expérience par la visualisation
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An initial investigation for employing ACH depth function in degradation model selection: A case study with real data
No full textInternational audienceAbstract In degradation modeling, stochastic processes often do not meet the classical properties necessary for traditional goodness‐of‐fit tests. This paper presents an initial investigation into employing the ACH depth function and its potential in degradation model selection. We commence by presenting various stochastic processes as degradation models and their selection criteria. Subsequently, we delve into the ACH depth function, highlighting its potential in this context. Through simulated data, we assess the application of this functional depth measure for model selection. The methodology's validity is further reinforced by its application to real‐world data, underscoring its effectiveness
Safe Vehicular Platooning Control : Mitigating Uncertainty and Enhancing Stability
No full textInternational audienceThis paper explores a safe control strategy for autonomous vehicle platooning, focusing on mitigating the effects of uncertainty and maintaining platoon stability. Autonomous platooning, enabled by vehicle-to-everything communication, is critical in intelligent transportation systems to enhance safety, reduce fuel consumption, and minimize traffic delays. However, real-world conditions such as communication delays, external disturbances, and vehicle inconsistencies can introduce instability. This study presents a control algorithm that manages inter-vehicle distance through dynamic speed adjustment and string stability criteria. Simulation results validate the effectiveness of the proposed method under varying levels of external disturbances, demonstrating its ability to maintain desired distance gap and prevent amplification of disturbances within the platoon
An integrated single photon source for quantum communications and quantum metrology
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Recyclage des batteries lithium-ion : Mise en oeuvre d'une lixiviation sélective pour le traitement de mélanges d'électrodes
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Descriptive study of the integration of sustainability through the doughnut in an engineering training material
No full textInternational audienceWe need to integrate socioecological issues into our activities. Engineers and designers need to develop competencies in sustainability, but it exists a lack of support in an academic context and for the training of professionals. The aim of this article is to demonstrate that the Doughnut is a support for developing sustainability competencies. In the literature, these competencies are identified and pedagogical experiences on their integration in engineering curricula are reported. We use the doughnut in a workshop as an element of understanding and developing competencies for sustainability
