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Financial Analytics: Science and Experience
 

Analysis of efficiency and optimization of capacity of pilot production in science-intensive industries

Vol. 7, Iss. 42, NOVEMBER 2014

Available online: 3 November 2014

Subject Heading: ISSUES ON ECONOMICS

JEL Classification: 

Pages: 2-14

Klochkov V.V. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russian Federation
vlad_klochkov@mail.ru

Vdovenkov V.A. Moscow Aviation Institute (State University of Aerospace Technology), Moscow, Russian Federation
777BBA@mail.ru

Kritskaya S.S. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russian Federation
kritskaya.svetlana@gmail.com

Importance The productive potential of science-intensive industry must ensure prompt realization of the results of breakthrough and advanced R&D studies and developments within the limits of rigid resource restrictions. It is necessary to organize the multiple reduction of prototype model manufacture and pilot batches of products, including also measures to ensure the possibility of their prompt completion, operation, and the necessary logistic infrastructure preparation and testing, etc. Therefore, it is worthwhile to organize the pilot-scale production, which is able to master the innovation products manufacture considerably earlier than the batch production will start. However, the prompt manufacturing of single products or small production batches necessarily requires the greater specific cost.
     Objectives The objective of this paper is to make the tentative assessment of the optimal level of the prototype model manufacture of innovation products (the case of aircraft industry), and the required volume of investment in their development, as well as the formation of characteristics requirements to technologies and equipment used in pilot manufacture.
     Methods We have developed an assessment of economic-mathematical models of monopolistic and competitive markets of innovation products for the pilot and batch manufactures, respectively. We proposed some methods of these models' parameters identification using real statistic data, which enables to carry out significant calculations.
     Results We have completed an assessment of the rational proportion of the pilot and batch manufactures, and also we have determined the maximum allowed levels of pilot products costs in comparison to stock-produced items, as well as maximum allowed duration of pilot lots manufacture.
     Conclusions and Relevance We provide recommendations aimed at pilot manufacture program diversification, and rational increasing of equipment and technology flexibility.

Keywords: science-intensive industry, innovation, product, pilot production, costs, competiveness, production capacity, economic-mathematical model

References:

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