Analysis, Modeling and Simulation of Complex Regional Clusters Activities, Using Arena Simulation Software
Process modelling is the concise description of the total variation in one quantity, y, by partitioning it into a deterministic component given by a mathematical function of one or more other quantities, x1, x2... plus a random component that follows a particular probability distribution. The models...
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Veröffentlicht in: | Applied Mechanics and Materials 2014-10, Vol.657 (Engineering Solutions and Technologies in Manufacturing), p.1041-1045 |
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Sprache: | eng |
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Zusammenfassung: | Process modelling is the concise description of the total variation in one quantity, y, by partitioning it into a deterministic component given by a mathematical function of one or more other quantities, x1, x2... plus a random component that follows a particular probability distribution. The models are material or immaterial systems, which represent other systems, so that it may be possible to manipulate the built structures and their states. The main elements of a simulation are: attributes (describe and differentiate entities), variables (system characteristics), resources (whose capacity can be variable), tails (seen in case of unavailability of resources) and statistical accumulators (measure needed indicators). The new cluster model used in the present paper is a "Five for all" type, which is based on the American concept of "Smart community". Following the regional SWOT analysis, we choose an enterprise (SME), a member of the regional innovation cluster, whose activities will be modelled using the Arena software: distribution and processing of steel products (sheet, profile, pipe, concrete, steel, stainless steel, alloy with special purpose). Welded pipe production, cutting heavy plate with gas and plasma, cutting and slitting foil, shaping and reinforcing steel in coils bars, components from. Trade in petroleum products and fertilizers. Foreign trade and transport. Modelling and simulation of industrial activities profile are based on statistics regarding the lifecycle of various products and equipment involved in their manufacture. |
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ISSN: | 1660-9336 1662-7482 1662-7482 |
DOI: | 10.4028/www.scientific.net/AMM.657.1041 |