Biblioteca IA industrial
IA Industrial
Coleccion curada de whitepapers y estudios tecnicos para soportar decisiones de implantacion con criterio industrial.
Planificacion
RL for Dynamic Job Shop Scheduling
Revision de enfoques de reinforcement learning para scheduling dinamico con restricciones reales.
GNN-RL for JSSP
Propuesta reciente de combinacion GNN + RL para secuenciacion en problemas job shop complejos.
Implications of the climate transition on employment, skills, and training in Belgium
status: Published
Generative AI and the algorithmic workplace: a bibliometric and conceptual analysis of its impact on organisational decision-making and work design
This study investigates how generative artificial intelligence (GenAI) is transforming the architecture of the workplace and reconfiguring managerial agency in contemporary organisations. While prior research has explore...
Plant-wide master production scheduling in the automotive industry under component blockings: an MILP-approach and a simulation study
Abstract Supply chain disruptions in the automotive industry have been increasingly prevalent, especially in recent years due to various factors such as natural disasters, geopolitical tensions, and the global pandemic. ...
The impact of industry 4.0 technologies on global value chain geographical configuration, efficiency, and sustainability: a systematic literature review
Abstract The advent of Industry 4.0 (I4.0) has brought about a significant transformation in the manufacturing sector, leading to notable improvements in various aspects such as flexibility, mass customization, quality, ...
Optimization of precast Component Production Scheduling: A Comparative Study of Genetic Algorithm and Simulated Annealing
The production of precast components is a core link in the industrialization of construction, and the rationality of production scheduling directly determines project costs, construction progress, and resource utilizatio...
A Review of Intelligent Optimization Algorithms for Oilfield Development
To identify the most suitable oilfield development strategy for maximizing energy supply or economic returns, optimization of oilfield development remains one of the most critical challenges in closed-loop reservoir mana...
Remanufacturing workshop management in blockchain and digital twin-based cloud remanufacturing service platform
The cloud remanufacturing service platform is an online platform that provides various services and resources for the remanufacturing industry. It promotes the digital transformation of the industry, improves resource ut...
Optimization Algorithms: Comprehensive Classification, Principles, and Scientometric Trends
In recent years, optimization algorithms have emerged as powerful computational tools for addressing complex and dynamic challenges across diverse domains. These domains include engineering, technology, management, and d...
Doubly Robust Causal Learning-Driven Adaptive Evolutionary Constrained Optimization Algorithm
Constrained optimization problems are widely prevalent, with evolutionary algorithms serving as predominant solution approaches. However, these algorithms exhibit inadequate adaptability and lack causal interpretability ...
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- Diagnostico inicial del caso de uso
- Revision de datos e integracion OT/IT
- Estimacion de impacto y roadmap de implantacion