Abstract:Based on the results of the research carried out in one production system an attempt is made to give an answer regarding the possibilities for the development of adaptive operational planning and production control, especially in terms of dynamics and mode of operation and linking of procurement, sales and production processes. Through selected criteria and measures and with adequate design of experiments and a simple simulation model, the influence factors have been defined, and by applying the analysis of variance the relative strength of their effect on the successfulness of operational planning and production control has been determined. The results obtained are a template for definition and development of the process of operational planning and production control and for the optimization of that process with the aim of meeting the maximum needs of the market through the realization in production, and achieving the highest possible success of a business enterprise, as a model of descrete periodical dynamic optimization.

In research of a model of production planning and control that can adapt to changes, disturbances and risks a model of adaptable optimization, called discrete corrective dynamizing optimization, was created. The model is created on the basis of dynamic programming to which is added the model of corrective optimization by simulation with the criteria defined in the initial and corrective part of the optimization. The effectiveness of a model of discrete corrective dynamizing programming was tested in relation to three other models of production programming. Testing has shown that the smallest deviations of the product quantities were obtained by applying the model of discrete corrective dynamizing optimization. It was also shown that the difference in the realized profit rate as the optimization criterion in relation to actual results was negligible in all testing conditions-variants. This is also a proof that with the use of corrective optimization a possible optimum can be achieved, with maximum adjustment to changes.