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Financial Analytics: Science and Experience
 

Shared services centers in applied aviation science: the efficiency and development trends

Vol. 8, Iss. 42, NOVEMBER 2015

PDF  Article PDF Version

Received: 20 August 2015

Accepted: 19 October 2015

Available online: 12 November 2015

Subject Heading: INNOVATION AND INVESTMENT

JEL Classification: 

Pages: 2-17

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

Cherner N.V. Moscow Aviation Institute - National Research University, Moscow, Russian Federation
cherner@mail.ru

Importance The article discusses how expensive and unique sites of the experimental, bench and polygon base may organize shared services centers on mutually beneficial terms in aviation and related sectors.
     Objectives The research devises economic and mathematical models to effectively set up shared services centers and determines conditions for a mutually beneficial effect.
     Methods The proposed economic and mathematical models rely upon the classical theory of mass service. Facilities of the experimental, testing and polygon base are presented as the Poisson process of mass service with an unbounded queue. The research determines the minimum number of service channels needed to satisfy the most exacting users in terms of the average application processing time for R&D.
     Results We found the limits of relative increment in the cost of equipment and the average R&D time. The research reviews several typical distributions of would-be users per intensity of applications, complexity of experimental R&D and requirements to their performance time.
     Conclusions and Relevance The proposed models can be useful to approximately assess whether shared service centers will be effective. They can be used to provide economic rationale for setting up shared services centers and selecting a number of service channels, substantiating requirements to research equipment and R&D methods.

Keywords: aviation science, shared services centers, theory of mass service, non-homogeneity, efficiency

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