A quantitative assessment of the network structures functional resilience by analyzing of the sensitivity of an optimization model
The real network organizational structure is constantly under the influence of external influences, which can cause unexpected consequences due to the cascading spread of relevant disturbances directed at critically important parameters. Parametric sensitivity analysis is the latest computational pr...
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| Date: | 2024 |
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| Main Authors: | , |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
Інститут проблем реєстрації інформації НАН України
2024
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| Subjects: | |
| Online Access: | http://drsp.ipri.kiev.ua/article/view/308507 |
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| Journal Title: | Data Recording, Storage & Processing |
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Data Recording, Storage & Processing| Summary: | The real network organizational structure is constantly under the influence of external influences, which can cause unexpected consequences due to the cascading spread of relevant disturbances directed at critically important parameters. Parametric sensitivity analysis is the latest computational procedure, the results of which provide the researcher with an idea and quantitative assessment of the appropriate response of the structure in the form of an analytical platform as a composition and interaction of scenario analysis, cascade process development and optimization modeling technology. The main task is timely adaptation to expected changes.
Network structures are a widespread form of organizational, business and industrial activities, network models of relevant objects/processes are based on mathematical, informational and computational foundations, which is an important component of higher education and the practice of general and special management and business analytics.
Examples of two typical problems of flow optimization are given: about network flows of minimum cost and about maximum flow through the network, where such a platform is built, which is used to predict the behavior of the structure and its components according to the sequential change of the influencing resource and the formation of management decisions. The maximum flow problem is an example of the active and effective application of methods and models of flows optimization, where the processes and objects used a network organization, the energy systems and complexes are investigated, arc parameters are critical in its model. In the work, for these classic optimization problems, mathematical and spreadsheet models were built on concrete examples, direct and dual mathematical programming problems were solved, the following stages were carried out - the organization of a computer experiment and the construction of an analytical platform for evaluating the behavior of the network structure under the influence of external influences and disturbances as their consequences. To take into account the specific conditions of real objects with a network structure at the stage of modification, the model is supplemented with appropriate restrictions and correction of input data sets. The obtained results could be useful for planning and management personnel and top-management for discussion and decision-making regarding, for example, the optimal placement of energy equipment, the weighted distribution of energy flows in the «source-sink» system or the appointment of executors for work, automated project management using project networks, etc. Tabl.: 7. Fig.: 4. Refs: 11 titles. |
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