engleski

Conceptual modelling of continuous-discrete production systems

Complex system dynamic, structure and behaviour performances asks wide range of methods, algorithms and tools to reach model capable for searching optimal performing parameters. In the modelling process, it is up to analyst to select appropriate combination of methods, algorithms and tools to express significant system performances. Such methodology for designing complex systems should be based upon conceptual modelling to perform sensitive analyse of different system levels and views, allowing system representations for developing computer models. Complex systems, such as business systems with continuous-discrete production process are demanding well organised supply chain highly reactive to production assortment changes. Aligning two different production components, distinctive in their behaviour, is especially sensitive in production parameters transition point. Such system performances request distinctive designing methods that could follow double behaviour nature of production process according to their entities dynamics, caused by assortment changes. Consequently, such systems need different conceptual presentations to realise its purpose from different views and aspects. Paper is based on results derived from project of parameters optimalisation in glass industry. Simulation modelling principles, methods and tools are solid environment for wide range of conceptual models developing to improve system performances. They offer qualitative and valuable results based upon large quantity of processed and verified data, as well as on the large number processed and checked possible problem solution variants. Upon those facts, choosing optimal processing parameters is done more qualitatively, and following implementation of new solution take benefits and leads to expected business results.

Complex production systems; Conceptual modelling

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