Part 2, “Network Analysis Methods and Applications”, illustrates the alternative mentioned above. Chapter 3brings together the main theoretical methods of evaluating, and even optimizing, the kinematics of discrete flows and the performances associated with them, within uncomplicated networks of a particular type. These are, on the one hand, networks with additive flows responding to Kirchhoff’s current law, and, on the other hand, networks with synchronized flows, examples of which can be found in flow-shop organizations of manufacturing production. We will thus deal with a workshop sizing problem by expressing the production rate as a function of the operating times of the machines and the number of containers in circulation. A contrario , Chapter 4presents the general simulation techniques that can be used for network analysis, as well as a specific application for an analysis of the propagation process in social network flows. The technical nature of Chapters 3and 4may require some external reading (see Table I.1).
Part 3, “Case Studies”, illustrates, through examples from projects, the similarity and specificities of network engineering in various fields: Smart Grid, forestry logistics, information dissemination within a social network.
For each case, we will first present a project description sheet summarizing:
– the function or nature of the service offered by the network;
– the type of network: topological (the nodes represent fixed places) versus sociological (the nodes represent mobile individuals);
– the mode of user inclusion: are they circulating entities, are they associated with network nodes, if so which ones (source nodes, intermediaries, terminals)?
– whether or not the network infrastructure is dedicated;
– the possible intermediation of operators;
– the nature of the flows (physical versus intangible, continuous versus discrete) and the unit of flow;
– the mode of transport ensuring the flows (ambient vs. routing);
– the command mode (centralized, on-board, distributed);
– the engineering context relating to the project presented (design, redesign, management) and the issue motivating the study (evaluation, optimization);
– the analysis tools used (formal resolution, optimization, numerical simulation).
Table I.1 seeks to assist the reader in identifying key areas of knowledge ahead of reading certain chapters.
Table I.1. Required reading
|
Title |
Prerequisite knowledge |
Part 1 |
Chapter 1 |
Network Typology |
– |
Chapter 2 |
Modeling Discrete Flow Networks |
Graphs, Petri nets, statistics and probabilities (bases) |
Part 2 |
Chapter 3 |
Exact Methods Applied to the Flow Analysis of Topological Networks |
Graphs, Petri nets, statistics and probabilities |
Chapter 4 |
Simulation Techniques Applied to the Analysis of Sociological Networks |
State machines Agent languages |
Part 3 |
Chapter 5 |
Smart Grid |
Optimization concepts |
Chapter 6 |
Forestry Logistics |
Optimization concepts |
Chapter 7 |
Multi-layered Digital Social Networks |
Multi-agent simulation, networks and processes |
PART 1 Network Variety and Modeling
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