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From logistic networks to social networks : similarities, specificities, modeling, evaluation / / Jean-Paul Bourrieres, [and three others]
| From logistic networks to social networks : similarities, specificities, modeling, evaluation / / Jean-Paul Bourrieres, [and three others] |
| Autore | Bourrieres Jean-Paul |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : ISTE Ltd/John Wiley and Sons Inc, , [2022] |
| Descrizione fisica | 1 online resource (201 pages) |
| Disciplina | 354.81150006 |
| Soggetto topico | Industries |
| ISBN |
1-119-98870-5
1-119-98868-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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. |
| Record Nr. | UNINA-9910580253303321 |
Bourrieres Jean-Paul
|
||
| Hoboken, New Jersey : , : ISTE Ltd/John Wiley and Sons Inc, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
From logistic networks to social networks : similarities, specificities, modeling, evaluation / / Jean-Paul Bourrieres, [and three others]
| From logistic networks to social networks : similarities, specificities, modeling, evaluation / / Jean-Paul Bourrieres, [and three others] |
| Autore | Bourrieres Jean-Paul |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : ISTE Ltd/John Wiley and Sons Inc, , [2022] |
| Descrizione fisica | 1 online resource (201 pages) |
| Disciplina | 354.81150006 |
| Soggetto topico | System analysis |
| ISBN |
1-119-98869-1
1-119-98870-5 1-119-98868-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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. |
| Record Nr. | UNINA-9910830763603321 |
|
Bourrieres Jean-Paul
|
||
| Hoboken, New Jersey : , : ISTE Ltd/John Wiley and Sons Inc, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||