MULTI-ASSORTMENT OPTIMIZATION OF REVERSIBLE FUND’S SIZE BASED ON RECURSION METHOD WITH THE AGGREGATE REPAIR METHOD

Effective management of the reversible fund of spare parts requires appropriate software solutions. These are currently available, but the main constraint that prevents the widespread introduction of these tools into management practice is their inherent significant drawback – the traditionally low...

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Autor principal:	Nina Vladimirovna Tyulpinova
Formato:	article
Lenguaje:	EN RU
Publicado:	Science and Innovation Center Publishing House 2020
Materias:	многономенклатурная оптимизация оборотный фонд агрегатный метод ремонта рекурсия Law K Social Sciences H
Acceso en línea:	https://doaj.org/article/9d612557edf24ffbb25ed342e4d0c8c5
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id	oai:doaj.org-article:9d612557edf24ffbb25ed342e4d0c8c5
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spelling	oai:doaj.org-article:9d612557edf24ffbb25ed342e4d0c8c52021-12-02T17:59:35ZMULTI-ASSORTMENT OPTIMIZATION OF REVERSIBLE FUND’S SIZE BASED ON RECURSION METHOD WITH THE AGGREGATE REPAIR METHOD2070-756810.12731/2070-7568-2020-4-313-327https://doaj.org/article/9d612557edf24ffbb25ed342e4d0c8c52020-12-01T00:00:00Zhttp://journal-s.org/index.php/nk/article/view/13066https://doaj.org/toc/2070-7568Effective management of the reversible fund of spare parts requires appropriate software solutions. These are currently available, but the main constraint that prevents the widespread introduction of these tools into management practice is their inherent significant drawback – the traditionally low level of computing performance and reliability. The reason is an iterative algorithmic kernel, which, on the one hand, causes a low level of processing speed due to a large amount of redundant computational work, and on the other hand, generates a problem of «large» numbers, leading to both incorrect results and emergency stops of calculations because of overflow of the bit grid. During multi-assortment optimization of reversible fund’s size, the indicated problems almost completely paralyze the computational process. In this regard, the development of an alternative solution, devoid of the listed disadvantages, is relevant. For this, the author of the article proposed and developed a recursive algorithmic kernel that completely eliminates all the indicated defects of the existing solutions. Purpose – increasing the computing performance and reliability of software solutions for management by the reversible fund of spare parts. Method or methodology of the work: recursion and recurrence method. Results: software and algorithms for multi-assortment optimization of reversible fund’s size based on recursion method with the aggregate repair method. Practical implications: financial management.Nina Vladimirovna TyulpinovaScience and Innovation Center Publishing Housearticleмногономенклатурная оптимизацияоборотный фондагрегатный метод ремонтарекурсияLawKSocial SciencesHENRUНаука Красноярья, Vol 9, Iss 4, Pp 313-327 (2020)
institution	DOAJ
collection	DOAJ
language	EN RU
topic	многономенклатурная оптимизация оборотный фонд агрегатный метод ремонта рекурсия Law K Social Sciences H
spellingShingle	многономенклатурная оптимизация оборотный фонд агрегатный метод ремонта рекурсия Law K Social Sciences H Nina Vladimirovna Tyulpinova MULTI-ASSORTMENT OPTIMIZATION OF REVERSIBLE FUND’S SIZE BASED ON RECURSION METHOD WITH THE AGGREGATE REPAIR METHOD
description	Effective management of the reversible fund of spare parts requires appropriate software solutions. These are currently available, but the main constraint that prevents the widespread introduction of these tools into management practice is their inherent significant drawback – the traditionally low level of computing performance and reliability. The reason is an iterative algorithmic kernel, which, on the one hand, causes a low level of processing speed due to a large amount of redundant computational work, and on the other hand, generates a problem of «large» numbers, leading to both incorrect results and emergency stops of calculations because of overflow of the bit grid. During multi-assortment optimization of reversible fund’s size, the indicated problems almost completely paralyze the computational process. In this regard, the development of an alternative solution, devoid of the listed disadvantages, is relevant. For this, the author of the article proposed and developed a recursive algorithmic kernel that completely eliminates all the indicated defects of the existing solutions. Purpose – increasing the computing performance and reliability of software solutions for management by the reversible fund of spare parts. Method or methodology of the work: recursion and recurrence method. Results: software and algorithms for multi-assortment optimization of reversible fund’s size based on recursion method with the aggregate repair method. Practical implications: financial management.
format	article
author	Nina Vladimirovna Tyulpinova
author_facet	Nina Vladimirovna Tyulpinova
author_sort	Nina Vladimirovna Tyulpinova
title	MULTI-ASSORTMENT OPTIMIZATION OF REVERSIBLE FUND’S SIZE BASED ON RECURSION METHOD WITH THE AGGREGATE REPAIR METHOD
title_short	MULTI-ASSORTMENT OPTIMIZATION OF REVERSIBLE FUND’S SIZE BASED ON RECURSION METHOD WITH THE AGGREGATE REPAIR METHOD
title_full	MULTI-ASSORTMENT OPTIMIZATION OF REVERSIBLE FUND’S SIZE BASED ON RECURSION METHOD WITH THE AGGREGATE REPAIR METHOD
title_fullStr	MULTI-ASSORTMENT OPTIMIZATION OF REVERSIBLE FUND’S SIZE BASED ON RECURSION METHOD WITH THE AGGREGATE REPAIR METHOD
title_full_unstemmed	MULTI-ASSORTMENT OPTIMIZATION OF REVERSIBLE FUND’S SIZE BASED ON RECURSION METHOD WITH THE AGGREGATE REPAIR METHOD
title_sort	multi-assortment optimization of reversible fund’s size based on recursion method with the aggregate repair method
publisher	Science and Innovation Center Publishing House
publishDate	2020
url	https://doaj.org/article/9d612557edf24ffbb25ed342e4d0c8c5
work_keys_str_mv	AT ninavladimirovnatyulpinova multiassortmentoptimizationofreversiblefundssizebasedonrecursionmethodwiththeaggregaterepairmethod
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MULTI-ASSORTMENT OPTIMIZATION OF REVERSIBLE FUND’S SIZE BASED ON RECURSION METHOD WITH THE AGGREGATE REPAIR METHOD

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