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Models of optimal innovation development of production systems

Models of optimal innovation development of production systems

Abstract

Formulation and solution of the problem of optimal aggregation of elements of the production system “innovations, development, production” by equivalent optimal element were presented. Production system and its elements are considered as technological resource converters. An optimal aggregation methodology, which integrates the equivalent transformations of structures of production systems and sub-optimization of subsystems was used. Generalized models of production functions - parameterized and stochastic were developed and studied. Stochastic models of parametric relations among the elements “innovations”, “development”, “production” were developed and studied. Theoretical justification of these models was performed. The new task of developing a ternary operator of optimal aggregation of the structure “innovations”, “development”, “production” was solved. Optimization variables are system resource allocation among the subsystems. The result of the operator work is the optimal equivalent production function - a data structure, in which in addition to the values of the function and appropriate resource allocations, data from previous aggregations can be preserved. The new result of the work is the information technology of developing the optimal aggregation operator for sequential structures with parametric relations in the environment of mathematical packages. The studies on the developed model, the results of which have shown the possibility of using a model of the aggregated system “innovations, development, production” for decision support were carried out.

Рассматривается задача замены моделей технологической цепочки «инновации, развитие, производство» оптимальным эквивалентным по входу – выходу элементом на базе методологии оптимального агрегирования. Решена новая задача оптимального агрегирования структуры «инновации, развитие, производство» с параметрическими связями между подсистемами «инновации», «развитие», «производство». Подсистемы представлены обобщёнными, параметризованными, стохастическими функциями производства. Выполнены исследования на моделях.

Розглядається задача заміни моделей технологічного ланцюжка «інновації, розвиток, виробництво» оптимальним еквівалентним по входу - виходу елементом на базі методології оптимального агрегування. Вирішена нова задача оптимального агрегування структури «інновації, розвиток, виробництво» з параметричними зв'язками між підсистемами «інновації», «розвиток», «виробництво». Підсистеми представлені узагальненими, параметризованими, стохастичними функціями виробництва. Виконано дослідження на моделях.

Keywords

modeling; production function; development; innovations; binary operator; optimal aggregation, моделирование; функция производства; развитие; инновации; бинарный оператор; оптимальное агрегирование, УДК 517.977.5, моделювання; функція виробництва; розвиток; інновації; бінарний оператор; оптимальне агрегування

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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