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MULTI-OBJECTIVE OPTIMIZATION OF SCIENCE PARKS BASED ON QUALITATIVE EQUATIONLESS RELATIONS
Wouters, Hana ; Koráb, Vojtěch (oponent) ; Hřebíček, Jiří (oponent) ; Čapek, Jan (oponent) ; Dohnal, Mirko (vedoucí práce)
The dissertation deals with the Multi-Objective optimization of the Science parks in terms of increasing competitiveness of the regions and the whole country. The main target of this dissertation is to help the investors, who want to implement Science Park SP project in different regions of Czech Republic or managers of existing science parks, who want to make another decision. This applies to all regions in Czech Republic, including regions, that were previously able to rely on availability and exploitation of mineral resources (traditional coal mining), which previously functioned as an important factor for industrial development and economic activity. Nowadays those regions must cope with the loss of competitiveness and to move their efforts into research and development and produce innovations. Qualitative modelling is suitable for such poorly known and complex systems as SPs. SP models incorporate variables of different nature and different time behaviours. Therefore slow and fast SP models are studied. A set of 17 slow qualitative equationless relations, among 11 slow variables (e.g. Quality of R&D engineers, Competition status ect.) together with a set of 14 fast qualitative equationless relations, among 10 fast variables (e.g.Cooperation between industries and academics, incentives for investment ect.) is studied. The model’s solutions i.e. set of slow and fast scenarios and transitions among them, are presented in this disertation in full details. Analysis/Optimization of ill-known, nonlinear, multidimensional system as Science Park (SP) is a difficult task and it is difficult to develop meaningful and sufficiently accurate models of any unsteady state SP behaviours. A systematic analysis of a sequence of qualitative solutions is the key part of the dissertation and its main scientific contribution. The individual steps of production of the models are graphically illustrated in the examples. The dissertation includes interpretation of the results and benefits for the theory and practice.
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MULTI-OBJECTIVE OPTIMIZATION OF SCIENCE PARKS BASED ON QUALITATIVE EQUATIONLESS RELATIONS
Wouters, Hana ; Koráb, Vojtěch (oponent) ; Hřebíček, Jiří (oponent) ; Čapek, Jan (oponent) ; Dohnal, Mirko (vedoucí práce)
The dissertation deals with the Multi-Objective optimization of the Science parks in terms of increasing competitiveness of the regions and the whole country. The main target of this dissertation is to help the investors, who want to implement Science Park SP project in different regions of Czech Republic or managers of existing science parks, who want to make another decision. This applies to all regions in Czech Republic, including regions, that were previously able to rely on availability and exploitation of mineral resources (traditional coal mining), which previously functioned as an important factor for industrial development and economic activity. Nowadays those regions must cope with the loss of competitiveness and to move their efforts into research and development and produce innovations. Qualitative modelling is suitable for such poorly known and complex systems as SPs. SP models incorporate variables of different nature and different time behaviours. Therefore slow and fast SP models are studied. A set of 17 slow qualitative equationless relations, among 11 slow variables (e.g. Quality of R&D engineers, Competition status ect.) together with a set of 14 fast qualitative equationless relations, among 10 fast variables (e.g.Cooperation between industries and academics, incentives for investment ect.) is studied. The model’s solutions i.e. set of slow and fast scenarios and transitions among them, are presented in this disertation in full details. Analysis/Optimization of ill-known, nonlinear, multidimensional system as Science Park (SP) is a difficult task and it is difficult to develop meaningful and sufficiently accurate models of any unsteady state SP behaviours. A systematic analysis of a sequence of qualitative solutions is the key part of the dissertation and its main scientific contribution. The individual steps of production of the models are graphically illustrated in the examples. The dissertation includes interpretation of the results and benefits for the theory and practice.
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