engleski

SIMULATION MODELLING OF ORGANISATIONAL BUSINESS SYSTEM

For one productive organisation which is made up of series of cause-consequence dependent sub systems, i.e. modules, which represents division based on functionality, can be told that this is complex process with large numbers of feedback loops, which are necessary to take into consideration. This interdependence sometimes effects very strongly on the final result of behaviour dynamics of organisational business system. The result of dynamics behaviour of business-production process, i.e. its response to input changes can have difference time period of materials and informational delays, i.e. measuring dimension (unit) which indicators can be different process occurrence. Such as: quality of product, capacities utilizability, profits, speed of shipment of product, the quantity of damaged products, and total quantity of products. Previously it was mentioned that such process, i.e. production organisation system or production organisation, is made up of several sub systems , i.e. modules which have direct or indirect influence on some or even all listed variables, i.e. indicators. In order to detect the connection between these variables (indicators) and some modules, it is necessary to have good knowledge of these complex dynamics business processes. Furthermore, it is possible to detect ineffective parts of such business organisation system by necessary knowledge of this business-production processes and continuous modelling with System Dynamics. Further, with simulation of dynamics processes of production organisation different behaviour of this organisation can be predicted, as response to different stimulus, i.e. test functions. For stimulus (known test functions), i.e. inputs in such processes in consequence consideration can be taken: changes in the markets, such as increase or decrease in credits for sale products or debit of this organisation, introduction of new production equipment, change of supplier of components or materials, etc… Subjecting the production organisation to different scenarios which are stipulated with changes in the market production organisation can become more flexible, adaptive and robust.

System Dynamics, Modeling, Heuristics optimization, Continuous and Discrete simulation, Business System.

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