Structural and parametric synthesis of production system in a distributed consumption network

Authors

  • Лев Григорьевич Раскин National Technical University "Kharkiv Polytechnic Institute" Bagalei str., 21, Kharkiv, Ukraine, 61002, Ukraine https://orcid.org/0000-0002-9015-4016
  • Вячеслав Васильевич Карпенко National Technical University "Kharkiv Polytechnic Institute" Bagalei str., 21, Kharkiv, Ukraine, 61002, Ukraine https://orcid.org/0000-0002-8378-129X

DOI:

https://doi.org/10.15587/2313-8416.2016.78257

Keywords:

fuzzy initial data, location of production points, distribution consumption system

Abstract

An approach to solve the problem of determining the rational number of production points and their locations in a distributed consumption network in uncertainty conditions is proposed. The peculiarity of this problem is a necessary to account the nondeterministic factors and calculation of a large number of distances in non-Euclidean metric. A method that allows to perform the necessary calculations without demanding computational procedures is described

Author Biographies

Лев Григорьевич Раскин, National Technical University "Kharkiv Polytechnic Institute" Bagalei str., 21, Kharkiv, Ukraine, 61002

Doctor of technical sciences, professor, head of department

Department of Computer Monitoring and logistics 

Вячеслав Васильевич Карпенко, National Technical University "Kharkiv Polytechnic Institute" Bagalei str., 21, Kharkiv, Ukraine, 61002

Lecturer

Department of Computer Monitoring and logistics 

References

Raskin, L. G. (1976). Analiz slozhnyh sistem i jelementy teorii upravlenija. Moscow: Sov. Radio, 344.

Pignasty, O. M., Demutsky, V. P., Pignasty, V. S. (2005). Stohasticheskoe opisanie ekonomiko-proizvodstvennyih sistem s massovyim vyipuskom produktsii [Stochastic description of the economic and production systems to mass production]. Reports Nat. Academy of Sciences, 7, 66–71.

Demutsky, V. P., Pignasty, O. M., Pignasty, V. S. (2003). Enterprise theory: Stability of functioning of mass production and promotion of products on the market. Kharkiv: KNU them. Karazin, 272.

Pignasty, O. M. (2007). Statistical theory of production systems. Kharkiv: KNU them. Karazin, 388.

Sira, O. V. (2010). Multivariate logistic models under uncertainty. Kharkiv: FOP Stetsenko, 512.

Raskin, L. G., Kostenko, Y. T. (1996). Technical state management systems forecasting. Kharkiv: Osnova, 303.

Raskin, L. G., Zubarev, V. V., Kovtunenko, A. P. (2005). Mathematical methods of assessment and prediction of the technical indicators of operational properties of radio systems. Kiev: ed. UNAM, 184.

Sira, O. V. (2001). Modeli i informatsionnyie tehnologii otsenki i prognozirovaniya sostoyaniya mnogomernyih dinamicheskih ob'ektov v usloviyah nechetkih ishodnyih dannyih [Models and information technology assessment and forecasting of multivariate dynamic objects in a fuzzy initial data]. Kharkiv, 252.

Kofman, A. (1982). Vvedenie v teoriyu nechetkih mnozhestv [Introduction to the theory of fuzzy sets]. Moscow: Radio i svyaz, 486.

Raskin, L. G., Seraja, O. V. (2008). Fuzzy mathematics. Kharkiv: Parus, 352.

Published

2016-09-29

Issue

Section

Technical Sciences