**Nikiforov**

Vladimir O.

D.Sc., Prof.

Vladimir O.

D.Sc., Prof.

doi: 10.17586/2226-1494-2015-15-2-329-337

doi: 10.17586/2226-1494-2015-15-2-329-337

# INTERVAL ADDITIVE PIECEWISE POLYNOMIAL TIME OPERATION MODEL OF HUMAN-OPERATOR IN A QUASI-FUNCTIONAL ENVIRONMENT

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**Article in**Russian

**For citation:**Serzhantova M.V., Ushakov A.V. Interval additive piecewise polynomial time operation model of human-operator in a quasi-functional environment. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2015, vol.15, no. 2, pp. 329–337.

**Abstract**

We consider the modeling problem for the human-operator functional activity. Productivity is selected as the main indicator of his function during the working shift. The problem is solved in the class of additive interval piecewise polynomial time views. Real labor productivity of human-operator is suggested to be formed by three interrelated processes: warming-up, tiredness and functionality restoration. Recreational interval for restoration during the first half of the working shift after cumulative tiredness over the first half-shift is considered by the authors as a system-related factor. The model takes into account: interval character of the human-operator individual properties. This gives the possibility to describe more fully and adequately the functional activity of the human-operator. Piecewise polynomial representation made it possible to describe adequately his performance, without complex approximation representations that accumulate errors of final grades for the human-operator performance. Obtained interval additive piecewise polynomial time operation model of human operator activity in the quasi-static environment has given the possibility to analyze and predict functional measures for performance management of human-operator functional activity in manufacturing static environment.

**Keywords:**human-operator, functional activity, warming-up, tiredness, recreational interval, productivity, piecewise polynomial approximation, additive models with interval parameters.

**Acknowledgements.**This work was supported by the Government of the Russian Federation, Grant 074-U01 and the Russian Federation Ministry of Education and Science (Project 14. Z50.31.0031)

**References**