From logistic networks to social networks : similarities, specificities, modeling, evaluation

From logistic networks to social networks similarities, specificities, modeling, evaluation

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As a result of its widespread implementation in economic and social structures, the network concept appears to be a paradigm of the contemporary world. The need for various services - transport, energy, consumption of manufacturing goods, provision of care, information and communication, etc. - draw...

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Detalles Bibliográficos
Otros Autores: Bourrieres, Jean-Paul, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, New Jersey : ISTE Ltd/John Wiley and Sons Inc [2022]
Materias:
System analysis.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009701327406719
Tabla de Contenidos:
  • Cover
  • Half-Title Page
  • Title Page
  • Copyright Page
  • Contents
  • Foreword
  • Introduction
  • PART 1: Network Variety and Modeling
  • 1. Network Typology
  • 1.1. Introduction
  • 1.1.1. Network description levels
  • 1.1.2. Network, graph and flow
  • 1.1.3. Shared or dedicated infrastructure
  • 1.1.4. User inclusion
  • 1.2. The principal networks
  • 1.2.1. (Human) transport networks
  • 1.2.2. (Goods) distribution and collection networks
  • 1.2.3. Dedicated distribution and collection networks (of fluids and energy)
  • 1.2.4. IT networks
  • 1.2.5. Communication networks
  • 1.2.6. Social and digital social networks
  • 1.3. Characterization and typology of networks
  • 1.3.1. Key characteristics
  • 1.3.2. Network integration
  • 1.3.3. Typology
  • 1.4. Engineering issues
  • 1.5. Performance indicators, evaluation, optimization
  • 1.5.1. Performance indicators
  • 1.5.2. Evaluation and optimization
  • 1.6. Conclusion
  • 2. Modeling Discrete Flow Networks
  • 2.1. Introduction
  • 2.2. Structure
  • 2.3. Characterization of a discrete flow
  • 2.3.1. Statistical description
  • 2.3.2. Probabilistic description
  • 2.4. Activities
  • 2.5. Control system
  • 2.6. Resources
  • 2.7. Fluid kinematics
  • 2.7.1. Flow/resource/decision synchronization
  • 2.7.2. Congestion phenomenon
  • 2.7.3. Dissemination of information in social networks
  • 2.8. Formalisms for modeling flows in a network
  • 2.8.1. BPM tools
  • 2.8.2. Timed Petri nets
  • 2.8.3. Flow networks
  • 2.8.4. Queuing networks
  • 2.9. Multi-modeling
  • 2.9.1. Multi-formalism versus mono-formalism
  • 2.9.2. The DEVS hierarchical model
  • 2.9.3. Multi-layer networks
  • 2.10. Conclusion
  • PART 2: Network Analysis Methodsand Applications
  • 3. Exact Methods Applied to the Flow Analysis of Topological Networks
  • 3.1. Introduction
  • 3.2. Additive flow networks - deterministic modeling by flow networks.
  • 3.2.1. Two-terminal series-parallel graph
  • 3.2.2. General case - max-flow/min-cut
  • 3.3. Additive flow networks - stochastic modeling by queuing networks
  • 3.4. Synchronized flow networks - modeling by timed event graphs
  • 3.4.1. Steady-state analysis of timed event graphs
  • 3.4.2. Example of application: sizing a flow-shop
  • 3.5. Conclusion
  • 4. Simulation Techniques Applied to the Analysis of Sociological Networks
  • 4.1. Introduction
  • 4.2. Simulation techniques
  • 4.2.1. Discrete event simulation (worldviews)
  • 4.2.2. DEVS formalism
  • 4.2.3. Coupling simulation/resolutive methods
  • 4.2.4. Distributed simulation
  • 4.2.5. Architectural solutions
  • 4.2.6. Time management and synchronization
  • 4.2.7. Pessimistic approach
  • 4.2.8. Optimistic approach
  • 4.2.9. HLA
  • 4.2.10. Cosimulation
  • 4.2.11. FMI/FMU
  • 4.2.12. FMI/FMU and HLA coupling
  • 4.3. Simulation of flows in sociological networks
  • 4.3.1. Behavioral simulation based on DEVS formalism
  • 4.3.2. Application study
  • 4.4. Conclusion
  • PART 3: Case Studies
  • 5. Smart Grid
  • 5.1. Summary of the study
  • 5.2. Demand profile
  • 5.3. Solar power station, fuel station and regional import
  • 5.4. Hydroelectric power station and PHES
  • 5.5. Operational issues
  • 5.6. Model
  • 5.6.1. Decision variables
  • 5.6.2. Constraints
  • 5.6.3. Objective function
  • 5.7. Optimization results
  • 6. Forestry Logistics
  • 6.1. Summary of the study
  • 6.2. Forest timber supply problem
  • 6.3. Tactical planning model
  • 6.4. Logistics benchmarking
  • 6.4.1. AS IS scenario (non-collaborative logistics)
  • 6.4.2. TO BE scenario (collaborative logistics)
  • 6.4.3. Results
  • 6.5. Conclusion
  • 7. Multi-layered Digital Social Networks
  • 7.1. Summary of the study
  • 7.2. Digital social networks
  • 7.3. Studying digital social networks via an interview broadcast.
  • 7.3.1. Pre-interview social network scenario
  • 7.3.2. Social network audience
  • 7.4. Modeling and simulation
  • 7.4.1. Modeling the interview production and broadcast processes
  • 7.4.2. MSN/HLA simulation architecture
  • 7.5. Simulation results
  • 7.6. Conclusion and perspectives
  • References
  • Index
  • Other titles from iSTE in Systems and Industrial Engineering - Robotics
  • EULA.

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