Optimizing a human-machine environment for enterprise management using a cyber-physical system

The article considers the application of the optimization approach to enterprise management using a cyber-physical system. A human-machine environment is the object of optimization. Features of interaction of nonergatic elements with the elements of physical and computational levels of cyber-physical architecture are observed. It is shown that ergatic element function allocation by the indexes of reliability and efficiency of a human-machine environment is the optimization task at the lower level. In the formalized form, the optimality requirements determine the multi-objective model by a set of alternative variables. The decision-making algorithm based on random search combined with expert assessment is offered. The capabilities of establishing the division of the total amount of ergatic OS elements between three functions at the initial stage of the search by expert way followed by the assignment of each ergatic element in the iteration mode have been considered. The optimization of a human-machine environment at the upper levels of a cyber-physical system is aimed at assigning each ergatic element to perform a specific action. The structure of the optimization model differs from the first task. The developed decision-making algorithm based on the integration of random search iteration procedure and expert assessment procedure is used for both optimization tasks. Multicriteriality is accounted for along with the iterations of probabilistic characteristic adjustment by changing the probability of engaging the criteria in the search. The models and algorithms listed above help to optimize the structure of ergatic element operation in a human-machine environment for enterprise management using a cyber-physical system.

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