THE PROBLEM OF GOODS DISTRIBUTION OVER LOGISTIC CENTERS

Authors

  • Anatoly V Panyukov South Ural State University, Chelyabinsk
  • Khalid Chaloob South Ural State University, Chelyabinsk

Keywords:

logistics center, transport problem, operational management, problem of distribution, regularization, decomposition, algorithm.

Abstract

A modern enterprise is a complex and dynamic system actively interacting with the external environment. Currently, effective logistics management is recognized as a key factor in improving the performance of companies and their competitiveness. The econometric methods used in practice do not provide the means to quickly solve a multitude of emerging problems, in particular, the problem of effective operational management of a network marketing organization. In the paper, algorithms for analyzing and solving the problem of distribution of goods by logistics centers, including a decision support system in the case of incorrectness of the arising problem, are proposed: 1) the method of regularizing a decomposable distribution problem reducible to a matrix transport problem; 2) an effective algorithm for approximating an indecomposable problem by a decomposable problem; 3) it is proposed to use marginal profit and the volume of unmet demand as criteria in the decision-making model. For fixed admissible values of exogenous variables, the solution of the decomposable distribution problem is Pareto optimal. The problem of choosing specific values of exogenous variables is difficult to formalize and requires the participation of the decision maker. The software implementation of the proposed algorithms is easily encapsulated in the MS Office system.

Author Biographies

Anatoly V Panyukov, South Ural State University, Chelyabinsk

Doctor of Sciences (Physics and Mathematics), Professor of the Department of Mathematical Modeling and Computer Simulation

Khalid Chaloob, South Ural State University, Chelyabinsk

Postgraduate student of the Department of Mathematical Modeling and Computer Simulation

References

Сток Дж.Р., Ламберт Д.М. Стратегическое управление логистикой. – 4-е изд.; пер. с англ. – М.: ИНФРА-М, 2005. – 797 с.

Галяутдинов Р.Р. Механизмы взаимодействия потоков и запасов на предприятии с точки зрения логистики // Вестник ЮУрГУ. Серия «Экономика и менеджмент». – 2016. – Т. 10, № 1. – С. 157–163. DOI: 10.14529/em160119

Будашевский В.Г., Пастухова О.Н. Технология адаптивного управления синергетическим взаимодействием спроса и предложения на основе проектно-исследовательского комплексного маркетингового эксперимента // Вестник ЮУрГУ. Серия: Экономика и менеджмент. – 2016. – Т. 10, № 4. – С. 60–65. DOI: 10.14529/em160410 4. Green K.C., Armstrong J.S. Demand forecasting: Evidence-Based Methods (2012). Available at http://www.kestencgreen.com/demandfor.pdf (accessed January 2017).

Brodie R.J., Danaher P., Kumar V., Leeflang P. Econometric models for forecasting market share. In J.S. Armstrong (Ed.). Principles of Forecasting. 2001. Norwell, MA: Kluwer Academic Publishers. – P. 597–611

Decker R., Gnibba-Yuk.K. Sales Forecasting in High-Technology Markets: A Utility-Based Approach. // Journal of product innovation management. – 2010. – Vol. 27(1). – P. 115–129.

Browna J.R., Dantb R.P. Scientific method and retailing research: A retrospective // Journal of Retailing. – 2008. – Volume 84, Issue 1. – P. 1–13. DOI: 1016/j.jretai.2008.03.001

Левина А.Л. Классификация предприятий розничной торговли с учетом признаков логистической интеграции // Вестник ЮУрГУ. Серия: Экономика и менеджмент. – 2016. – Т. 10, № 4. – С. 170–175. DOI: 10.14529/em160425

Panyukov A.V., Teleghin V.A. Forming of discrete mechanical assembly production program // J. Comp. Eng. Math. – 2015. – Vol. 2, issue 1. – P. 57–64. DOI: 10.14529/jcem150107

Панюков А.В., Телегин В.А. Техника программной реализации потоковых алгоритмов // Вестник ЮУрГУ. Серия «Математическое моделирование и программирование». – 2008. – № 27(127). – C. 78–99.

Раскин Л.Г., Кириченко И.О. Многоиндексные задачи линейного программирования. – М.: Радио и связь. – 1989. – 240 с.

Серая О.В. Распределительная задача линейного программирования // Системи обробки інформації. – 2013. – № 2(109). – С. 168–170. http://www.hups.mil.gov.ua/periodicapp/article/10610 (accessed January 2017).

Published

2018-04-04

Issue

Section

Logistics and transport systems management