Abstract
The paper describes a flexible information technology for decision making support by situational modelling of possible alternative structures of industry-business processes and supply chains both in statics and dynamics. It provides a state analysis and prognosis of spatial hierarchical objects. The technology allows to use data coming from simulation modules of the object structural components, embedded geographic information system and expert system equally.
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Sokolov, B., Ivanov, D., Fridman, A. (2010). Situational Modelling for Structural Dynamics Control of Industry-Business Processes and Supply Chains. In: Sgurev, V., Hadjiski, M., Kacprzyk, J. (eds) Intelligent Systems: From Theory to Practice. Studies in Computational Intelligence, vol 299. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13428-9_13
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DOI: https://doi.org/10.1007/978-3-642-13428-9_13
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