: Understanding and predicting throughput time in multi-line manufacturing environments is a core challenge in industrial simulation and production planning. This paper proposes a simulation-informed analytical framework applied to a real-world event-log dataset comprising 28,026 parts produced across 13 heterogeneous lines over 13 operating days. The framework addresses three objectives: i) characterising per-line throughput distributions, ii) quantifying the impact of equipment downtime on cycle time, and iii) forecasting shift-level production using pre-shift features. Downtime is significantly associated with increased cycle times ( p = 0 . 020), although correlation patterns vary across lines. Change-point detection (PELT) identifies intra-shift disruptions in 11.2% of shifts, typically occurring in the second half, suggesting cumulative degradation effects. A consistent time-of-day effect is observed across most lines. For prediction, global models outperform per-line approaches due to data sparsity. Under a rolling-window protocol, Ridge Regression achieves R 2 = 0 . 570 (MAE = 36 . 3 parts/shift). Feature importance analysis indicates that recent production history dominates predictive performance.
J. Almeida, Raquel Paradinha, L. Afonso et al.· International Conference on...· 0 citations
: As cybersecurity regulations such as ISO/IEC 27001 and the NIS2 Directive continue to expand in scope and complexity, organizations face growing challenges in translating regulatory obligations into actionable security policies and audit-ready evidence. Conventional compliance approaches rely on manual interpretation of regulatory texts, fragmented documentation repositories, and ad hoc audit preparation, introducing operational bottlenecks and exposing organizations to non-compliance risks. This paper presents a compliance management platform that operationalizes regulatory requirements through structured, expert-guided control implementation. It combines NLP extraction with human-supervised annotation to convert regulatory texts into machine-readable frameworks, enabling multi-framework management (ISO/IEC 27001:2022 and NIS2), control mapping, evidence tracking, and role-based audit workflows. In a task-based usability study with twelve participants, the platform scored 83.3 on the System Usability Scale (SUS), rated “excellent,” indicating that embedded guidance can reduce expertise barriers in cybersecurity compliance management.
Mariana Andrade, João Rafael Almeida, J. Oliveira· International Conference on...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
