Structural and parametric synthesis of production system in a distributed consumption network
DOI:
https://doi.org/10.15587/2313-8416.2016.78257Keywords:
fuzzy initial data, location of production points, distribution consumption systemAbstract
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
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.
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Copyright (c) 2016 Лев Григорьевич Раскин, Вячеслав Васильевич Карпенко
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