1,721,119 research outputs found
Pool Based Scheduling and Inventory for Service in Complex Systems
No full textThe present paper proposes a methodology based on integration of optimisation and
simulation for supporting the service of complex systems, such as power plants.
The proposed system is focused on pool management by using simulation as framework
for testing solution proposed by an intelligent optimiser able to investigate alternative
solutions.
The research aim to present the bene!ts of the integrated use of modelling and simulation
and AI (Arti!cial Intelligence) techniques for optimising schedule and inventory; the paper
includes the experimental results obtained by the model LAPIS (Lapis Advanced Pooling
Intelligent optimiser and Simulator) developed by authors to support decisions making in
power plants service.
The Pooling Strategies for managing a set of complex systems, such as power plants
involving combined cycles (Gas Turbine, Steam Turbine and related Generators), it is an
innovative approach in de!ning criteria for serving the sites by clustering the machine in
subsets able to guarantee timeframes compatible with time cycle for each item for optimising
availability, costs and technical commercial constraints. Therefore in real problems the
stochastic factors (i.e. spare part lead times and consumption, failures, inspection duration,
etc) as well as the complex processes (i.e. component refurbishment, supply expediting
procedures) requires decision support systems (DSS) and the use of stochastic simulation in
joint combination with intelligent optimisation represent an innovative approach.
The proposed approach allows to optimise the inventory as well as the service schedule
considering both quality (i.e. availability, service time) and costs; in the proposed case
study the di"erent contract elements (i.e. plant stop penalties, contract duration, terms
for inventory reuse) in addition to technical constraints (i.e. intervals for inspections and
revisions), require a complex model for the optimisation.
The paper proposes the LAPIS model description and general architecture as well as the
methodology for the joint optimisation/simulation, in addition the case study on the power
plant pool service is used as validation example and experimental results are proposed
Modelling Country Reconstruction based on Civil Military Cooperation
No full textModelling & Simulation techniques provide a great support to training, planning and decisions making in Country Reconstruction, after wars, natural disasters (i.e. hurricanes, earthquakes, tsunamis), large crisis and conflicts. The reconstruction process involves many actors, such as International Organizations, Military forces and Governments as well as different population groups. Who operates in similar contexts should be able to provide helps to local populations and to guarantee recovery of ordinary activities in the Country System, including many layers such as Security, Energy Management, Health Care System, Transportation, Economy, Social System, Finance and Administration & Government. Therefore training activity is fundamental for preparing experts in effective Country Reconstruction as well as for acquiring expertise in interference and correlated factors.
CIMIC (Civil - Military Cooperation) activities are becoming very necessary to restore ordinary activities in a civil country. In particular this paper provides a general overview about the CIMIC process in asymmetric wars; to introduce a new Conceptual Model that can connect Human Emotions (fear, trust, anger...) to something or someone in scenarios generated by Computer Generated Forces (CGF)
Different Modeling and Simulation Approaches applied to Industrial Process Plants
No full textThe Process Industry represents a business sector currently affected by a positive trend in Fast Developing Areas; as result the Modeling & Simulation is becoming back pretty active in this sector to support plant engineering, automation and control solutions.In this paper, it is proposed a state of art about solutions in modeling Industrial Process Plants; then the authors propose a model as decision support system for a chemical industry with focus on logistics activities. The case highlights the importance of M&S for supporting Industrial Companies in decision making and analysis. The proposed work includes description of the different phases: Data Collection (Flow Data, Time Tables and Costs Tables are critical), Conceptual Model Development, Model Implementation to simulate logistic processes and Execution & Analysis
Electrical and mechanical data fusion for hydraulic valve leakage diagnosis
Full text linkThis paper describes a method for the identification of valves’ failure identification, with the final aim of creating a predictive maintenance architecture. After revising the scientific literature, we selected the electric current, the acoustic emission and the vibration signals as the most promising monitoring techniques. The processes of feature extraction and data fusion have been optimized to detect early symptoms of a failure. Performances of five different machine learning algorithms have been compared. Results, obtained in a specific case study, evidenced that a data fusion process based on vibration and current data, paired with a random forest model allowed a prediction accuracy and a Jaccard index close to 99%
Intelligent Agents For Pandemic Modeling
No full textPandemic scenarios are very complex due to the wide
number of variables and critical aspects which have to
be considered. In fact these phenomena evolve quickly
with strong inertia and influence of stochastic
components (i.e. mutation, human decisions, etc.).
Therefore, Modeling & Simulation is often the only
approach able to reproduce effectively pandemic
dynamics in a realistic way.
A methodology for developing such types of models,
taking into consideration open-issues generated by
pandemic threats is proposed in the paper and human
factors are consider as critical element to mode. A
methodology that supports quick development of
models and fast result achievement is elaborated and
described; at the same time, particular attention is
given to validation and verification of models
Modelling Environmental Impact and Efficiency in Maritime Logistics
No full textIn recent years, in all countries the awareness on environmental problems is increasing moving forward to the concept of sustainable development. This paper is focusing on the development of simulation models related to the environmental assessment with special attention to port activities; the goal of this simulator is to measure the different Environmental Impacts (EI) and to evaluate alternative strategies and solution for guaranteeing improvements in term of port sustainability, including productivity and costs; in fact it is critical to identify solutions that are effective and competitive and at the same time that reduce EI such as resource consumption, garbage/waste disposals, noise, Ship discharges and spills. In this paper the authors present a model of a port terminal, and support the tailoring of GreenLog Simulator on this applications; this is a simulation engine developed to simulate and evaluate environmental impact in every supply chain element. In order to test the simulation model and analyze different strategies for the port sustainability, the authors propose a simple case study related to the simulation of environmental impacts comparing the emissions of a container ship docked in a port and powered by its own engines to the same ship powered by national electric grid. This experimental example represents an opportunity for additional testing of the simulation applied to green logistics
MODELING OF OBESITY EPIDEMICS BY INTELLIGENT AGENTS
No full textThe paper focuses on a large scale problem related to population health care with special attention to obesity. The authors present a proposal for modeling human behavior and its influence on the evolution of obesity epidemics, and its effects on social networks, infrastructures and facilities. This approach is based on Intelligent Agents tools developed for reproducing country reconstruction and human factors. These models represents the base that allows to add specific and complex aspects related to pathologies and correlated behaviors that allows to reproduce these phenomena
Intelligent agents driving computer generated forces for simulating human behaviour in urban riots
No full textOver the last decade the authors have been working on several researches concerning the use of intelligent agents for managing simulation of critical situations in security, such as managing civil disorders, riots or terrorist actions. The adoption of intelligent agents to reproduce human behaviour is a key factor to implement realistic models for security and civil protection. Human behaviour is very complex to be simulated and it is important to early test final results to get consistent models. In this paper is described the use of early testing procedures to anticipate results before the VV&A phase. It is, in fact, useful to adopt this kind of early testing activities in application of intelligent agents with human behavioural models
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