Toutes nos publications
La liste complète des publications de l’Institut Henri Fayol peut être consultée sur l’archive HAL CCSD CNRS via notre portail HAL-EMSE.
Nos dernières publications sur l’archive HAL CCSD CNRS
- Integrating artificial intelligence into low-code development platforms typically relies on machine learning models or external services, which often introduce computational overhead, non-deterministic behaviour, and deployment complexity, especially when large language models are involved. These properties are problematic in settings that require predictable execution, low resource consumption, and tight integration with developer tooling. We present a […]
- […]
- Functional data arise in many statistical and engineering applications, where inputs are represented as curves or spatial fields rather than finite-dimensional vectors. We consider regression problems involving functional covariates and multiple correlated outputs. To address this setting, we introduce a multitask Gaussian process model based on a fully separable kernel construction across tasks and functional […]
- We consider a real-valued time series {Xt}t≥1 and aim at detecting changepoints understood as persistent departures from a reference local regime. We propose a distribution-free method that combines (i) a local power statistic {Pt} derived from local asymptotic normality (LAN) testing framework, (ii) blockwise aggregation of exceedance events, and (iii) a principled calibration of the […]
- CIT’IN CRISE est un simulateur de gestion de crise inondation pour le grand public. Il s’agit d’un jeu sérieux ” sur table ” pour idéalement 11 joueurs accompagnés de 2 animateurs, répartis dans deux espaces séparés ou cellules. Ces joueurs, pendant 2 heures, vont endosser les rôles des acteurs réellement impliqués (Maire, préfet, Responsable services […]
- After the 2008 financial crisis, the role of money and the structure of modern monetary systems have become subject to renewed scrutiny. The existing system, marked by extensive financialisation, power concentration, and rising social inequality, is considered incompatible with social justice and ecological sustainability goals. Consequently, decentralised monetary initiatives have emerged as alternatives reshaping and […]
- Collaborations between municipalities seeking tools for local resilience and local currencies (LCs) have surged in recent years (Barinaga et al., 2025). LCs are increasingly recognized as innovative tools for fostering local economic development, social inclusion, and sustainability (Blanc, 2024; Kennedy et al., 2012). These community-driven monetary initiatives not only provide strategies for territorial development but […]
- Purpose Our study analyzes the relationship between ambidexterity and servitization, considering the role of contextual factors and distinguishing between product-supporting and client-supporting services. Specifically, we propose that two internal factors (empowerment climate and managerial networking) and two external factors (environmental dynamism and competitive intensity) may moderate the effects of ambidexterity on servitization. Design/methodology/approach Our analysis […]
- Afin de pouvoir accompagner les acteurs économiques dans leur transition et d’apporter des éléments de connaissances, d’appropriation et d’application, ce projet a pour objectif de fournir un outil d’appropriation de la soutenabilité forte au sein des grandes entreprises.
- Poster de présentation de la plateforme.
Nos dernières publications en texte intégral
- Digital twins (DTs) are collaborative software systems that combine various digital technologies to represent, analyze, and emulate the behavior of real-world entities thereby supporting decision-making. However, their development and operation remain complex and costly, limiting adoption by small and medium-sized enterprises. In addition, there is currently no widely accepted cross-industry reference architecture to guide DT […]
- Sampling from a truncated multivariate normal distribution (tMVN) is widely used in constrained Bayesian statistics, data science, and machine learning. In this paper, we develop a general method for sampling from a tMVN subject to both data constraints and linear or nonlinear inequality constraints. A \textit{modified} tMVN is first applied, followed by Matheron's update rule […]
- Design for Sustainability Transitions is an emerging field within Design for Sustainability that aims to provide guidelines and strategies to generate systemic change in society, mostly at the socio-technical system level. Nevertheless, some limitations of current approaches have been pointed out by scholars, including their market-centred perspective and the vague definition of the sustainability visions […]
- De nombreux problèmes de prise de décision impliquent la résolution d’un problème d’op- timisation multiobjectif, dont les solutions forment l’ensemble de Pareto. En présence d’incertitudes épistémiques inconnues au moment de la fabrication du produit ou système, plutôt que d’utiliser directement des statistiques liées aux objectifs, nous proposons de comparer les designs à paramètres incertains fixés. […]
- Estimating excursion set confidence regions seeks to identify regions where a function may exceed some threshold with a given confidence level. This paper focuses on estimating such confidence regions in cases where the function has random inputs and a functional output that is returned all at once. We develop a surrogate-based approach for estimating the […]
- The Assembly Line Balancing Problem (ALBP), first formally introduced by Salveson in 1955, has long been a foundational topic in operations research and production management. Over the past seven decades, ALBP has evolved significantly—from a straightforward task-to-station assignment problem to a complex, multi-objective optimization challenge that reflects the intricacies of contemporary manufacturing systems. This transformation […]
- […]
- Functional covariates arise in many scientific and engineering applications when model inputs take the form of time-dependent or spatially distributed profiles, such as varying boundary conditions or changing material behaviours. In addition, new practices in digital simulation require predictions accompanied by confidence intervals. Models based on Gaussian processes (GPs) provide principled uncertainty quantification. However, GPs […]
- […]
- […]