Development of analytical models of optimizing an enterprise’s logistics information system supplies
DOI:
https://doi.org/10.15587/1729-4061.2014.27746Keywords:
information system, logistics processes, mathematical inventory models, optimization, costsAbstract
The creation of an efficient enterprise’s logistics information system requires a set of mathematical decision support models. The existing inventory models that are used in warehouse logistics have low adequacy with the real logistics processes.
The research examines the reasons for the low efficiency of the basic warehouse logistics models and analyzes their development. When determining the form of the total cost function in the EOQ model, the costs of delivery and storage related to different moments of time were not taking into account. Failure to fulfill this requirement is one of the main factors affecting the adequacy of the mathematical inventory models, which are based on the EOQ model.
The developed mathematical models, representing the refined Wilson’s model, allow to justify the consignment delivery using several vehicles. The conditions for applying the model to the order cost, depending on the consignment size were determined. The algorithm for determining the optimal number of vehicles for the consignment delivery was developed.
Using the developed mathematical models will allow making the best decisions in warehouse logistics. The findings to the EOQ model development can be used for other inventory models that will create an effective information logistics system.
References
Alesinskaya, T. V. (2002). Ekonomiko-matematicheskie metody i modeli. Taganrog: Izdatelstvo TRTU, 153.
Krikavskiy, E. (2004). Logistika. Dlya ekonomistiv. Lviv: Vidavnictvo Nacionalnogo universitetu „Lvivska politehnika”, 448.
Nievergelt, Y. (1989). Mathematics in business administration. Boston: Richard D. Irwin, Inc., 496.
Lotfi, V., Pegels, C. C. (1991). Decision support systems for production and operations management (DSSPOM). Boston: Richard D. Irwin, Inc., 359.
Dzuba S. A. (2011). Upravlenie zapasami: verna li formula Wilsona? Menedzchment v Rossii i za rubezchom, 4, 3-12.
Sterligova, A. N. (2005). O suguboi praktichnosti formuli Wilsona. Logistik & sistema, 4-5, 42–52, 56–61.
Wilson, R. H. (1934). A Scientific Routine for Stock Control. Harvard Business Review, 13, 116–128.
Tektov, D. A. (2003). Dinamicheskie I statisticheskie modeli upravleniya zapasami v roznichnoi torgovle. Sankt-Peterburzchskii gosudarstveniy universitet, 159.
Gamkrelidze, L. I., Gamkrelidze, E. L. (2009). Logistika. Teoriya i praktika. Мoscow: MGIU, 279.
Solyanik, L. G. (2006). Optimizatsiya parametriv upravlinnya tovarno-materialnimi zapasami na promislovomu pidpriemstvi. The Economic Messenger of the NMU, 1, 16–24.
Sterligova, A. N. (2005). Optimalniy razmer partii ili Zagadochnaya formula Wilsona. Logistik & sistema, 2, 64–69.
Meschankin, А. (2005). Umeete li vi primenyat formulu Wilsona? Logistik & sistema, 2, 37–42.
Lukinskiy, V. S., Tsvirinko, I. A. (2001). Varianti resheniya logisticheskoy zadachi opredeleniya optimalnogo razmera zakaza. Organizatsiya mezhdunarodnih i vnutrennih perevozok s primeneniem printsipov logistiki. SPb. : SPbGIEU, 228.
Kotlyarova, V. G. (2010). Razrabotka modeli opredelrniya optimalnoy partii postavok v usloviyah neprepyvnogo proizvodstva (na primere koksohimicheskoy podotrasli). Ekonomika rozvitku. Kharkiv : KHNEU, 1 (53), 96–99.
Kozhamkulova, Zh. Zh. (2012). Rozrobka modeli i metodov informatsionnoy sistemi analiza i prinyatiya resheniy v agrobiznese. PhD : 6D070300 – Informatsionnie sistemi. Almati, 97.
Eddous, M., Stensfild, R. (1997). Metody prinyatiya reshenii. M.: Audit, UNITI, 590.
Nestorenko, A. V. (2007). Alternativniy podhod k postroeniyu EOQ modeli upravleniya zapasami. Upravlinnya ekonomikoyu rekreaciynih teritoriy, galuzey i pidpriemstv. Donetsk: OOO „Yugo-Vostok, Ltd”, 270–276.
Feklisov, G. I. (1981). Matematicheskie metody optimalnogo raspredeleniya resursov v ekonomicheskih sistemah. Moscow: MESI, 116.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2014 Александр Васильевич Несторенко, Анатолий Павлович Слесаренко
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.
