In the current global economic landscape, companies with an international presence face the challenge of ensuring that their production networks are not only efficient but also resilient to unpredictable events. Recen...
详细信息
Efficient warehouse management is essential for business-to-business (B2B) operations, ensuring timely delivery, cost minimization, and operational efficiency. To meet these challenges, advanced modelling and simulati...
详细信息
Most existing distributed simulation platforms lack native support for Python scripts, thereby hindering the seamless integration of AI models developed in Python. Some simulation platforms support script languages li...
详细信息
Fast and high-quality workflow management is one of the most important tasks in all domains. Workflow modelling has become a common technique that facilitates and supports the business process or rather its automation...
详细信息
In response to the significant rise of Home Health Care (HHC) due to technological advances, an expanding elderly demographic, and increased disease outbreaks—intensified by the COVID-19 pandemic—there is a pressing...
详细信息
The Twinning paradigm –subsuming Digital Models, Digital Shadows and Digital Twins– is a powerful enabler for analyzing, verifying, deploying and maintaining complex Cyber-Physical Systems (CPSs). Throughout the (cu...
详细信息
The key challenges in the maritime industry revolve around digital transformation, reducing carbon emissions (decarbonization), and the implementation of smart and autonomous technologies. Smart Shipping technologies,...
详细信息
High-stakes professions like negotiators and pilots utilize simulations for risk-free training, enhancing skills and decision-making. Traditional simulations, while effective, are resource-intensive. Computer simulati...
详细信息
In this paper, we are focusing on the use of agent-based approach to generate simulations of various scenarios for border crossing points and making technology acceptance predictions. This paper is related to the Hori...
详细信息
ISBN:
(纸本)9781665489218
In this paper, we are focusing on the use of agent-based approach to generate simulations of various scenarios for border crossing points and making technology acceptance predictions. This paper is related to the Horizon 2020 project METICOS1, for which we are extracting user (traveler and border control staff) perceptions from sources such as online social networks e.g., Twitter, Web, Interviews, Questionnaires etc. However, for the scope of this paper we have only included the synthetic data for the experiments to validate the proposed simulation model. The existing studies made a strong justification for choosing this approach to model the defined problem. To the best of our knowledge, this paper is a first research study focusing on defining how agent-based modeling and simulation can be used to model border crossing scenarios and predicting the acceptance of the border control technologies by explaining travelers' profile based on synthetic data, perceptions based on manual rules. This is important for stakeholders who take decisions related to what technologies to place at the border crossing points and what features such technologies should have to improve throughputs and traveler and border staff satisfaction.
Enhancing robotic system efficiency through lean principles is essential in the dynamic landscape of industrial automation. This study introduces a comprehensive framework combining the "Visionary Pathway Design ...
详细信息
Enhancing robotic system efficiency through lean principles is essential in the dynamic landscape of industrial automation. This study introduces a comprehensive framework combining the "Visionary Pathway Design Tool" (VPDT), simulation-based analysis, and TRIZ methodologies to optimize lean concept integration in robotic systems across various production scenarios. The research addresses the complexities of designing intelligent industrial robotic systems under lean management, focusing on enhancing production process resilience and efficiency The approach integrates VPDT's AI-driven problem definition and Ideal Final Result (IFR) visioning capabilities with simulation models developed in tools like RoboDK. It leverages predictive modeling and scenario planning to envision ideal operational states and uses backcasting to map strategic pathways to achieve these goals. TRIZ principles are applied to resolve inherent contradictions in system design, ensuring innovative solutions aligned with lean management objectives. The simulation phase, using real-world industrial scenarios, and reinforcement learning assesses the impact of lean strategies on production process resilience.
暂无评论