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Multi-criteria choice of the region for the construction of a logistics center based on AHP: case study for Kazakhstan

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The current state of the regional market of transport and logistics services in Kazakhstan is characterized by a disparity between the increasing demand for Logistics services and the lack of logistics capacity. In this article, the authors propose a method for determining the most promising areas of the Republic of Kazakhstan for the construction of a logistics center, based on the Analytic Hierarchy Process (AHP).
Czasopismo
Rocznik
Strony
119--131
Opis fizyczny
Bibliogr. 24 poz.
Twórcy
  • Silesian University of Technology, Faculty of Transport and Aviation Technologies, Krasińskiego 8, Katowice, 40-019, Poland
  • JSC Kazakhstan Highway Research Institute Nurpeisov, 2a, Almaty, A01P9X9, Kazakhstan
  • Kazakh Academy of Transport and Communication, Shevchenko, 97, Almaty, A05K3F6, Kazakhstan
Bibliografia
  • 1. Acar, A.Z. & Gürol, P. An innovative solution for transportation among Caspian region. Procedia - Social and Behavioral Sciences. 2016. Vol. 229. P. 78-87.
  • 2. Rana, K. Transportation in Kazakhstan and its economic implications. International Journal of Business and Applied Social Science. 2016. Vol. 2. No. 1. P. 11-20.
  • 3. Savy, M. Logistics as a political issue. Transport Reviews. 2016. Vol. 36. No. 4. Р. 413-417.
  • 4. Guh, Yu-Yu. Introduction to a new weighting method — hierarchy consistency analysis. European Journal of Operational Research. 1997. Vol. 102. No. 1. P. 215-226.
  • 5. Saaty, T.L. Relative measurement and its generalization in decision making why pairwise comparisons are central in mathematics for the measurement of intangible factors the analytic hierarchy/network process. RACSAM. 2008. Vol. 102(2). P. 251-318.
  • 6. De Felice, F. & Petrillo, A. Hierarchical model to optimize performance in logistics policies: multi attribute analysis. Procedia - Social and Behavioral Sciences. 2012. Vol. 58. P. 1555-1564.
  • 7. Zhang, J. & Tan, W. Research on the performance evaluation of logistics enterprise based on the analytic hierarchy process. Energy Procedia. 2012. Vol. 14. P. 1618-1623.
  • 8. Pham, T.Y. & Ma, H.M. & Yeo, G.T. Application of Fuzzy Delphi TOPSIS to locate Logistics centers in Vietnam: the logisticians’ perspective. The Asian Journal of Shipping and Logistics. 2017. Vol. 33. No. 4. P. 211-219.
  • 9. Saaty, T.L. & Vargas, L.G. Models, Methods, Concepts & Applications of the Analytic Hierarchy Process. 2nd Edition. New York: Springer Science+Business Media. 2012. 346 p.
  • 10. Lubentsov, A.V. & Bobrov, V.N. & Desytov, D.B. & Noev, A.N. The advantage of the method of hierarchy analysis, the statistical methods of decision support. Journal of Physics: Conference Series. 2019. Vol. 1203. No. 012079. 7 p.
  • 11. Saaty, T.L. Decision Making with Dependence and Feedback: the Analytic Network Process: the Organization and Prioritization of Complexity. 2nd Edition. Rws Publications. 2001. 376 p.
  • 12. Saaty, T.L. Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process. 2nd Edition. RWS Publications. 2000. 478 p.
  • 13. Petroni, A. The logistics of industrial location decisions: an application of the analytic hierarchy process methodology. International Journal of Logistics Research and Applications. 2000. Vol. 3. No. 3. P. 273-289.
  • 14. Velasquez, M. & Hester, T.P. Analysis of Multi-Criteria Decision Making Methods. International Journal of Operations Research. 2013. Vol. 10. No. 2. Р. 56-66.
  • 15. Юганова, Т.И. Выбор участков для размещения объектов обращения с отходами на основе методов многокритериального принятия решений. Геоэкология. Инженерная геология, гидрогеология, геокриология. 2019. No. 4. P. 79–93. [In Russian: Yuganova T.I. Selection of plot for deployment of waste management facilities based on multi-criteria decision-making methods. Geoecology. Engineering geology, hydrogeology, geocryology].
  • 16. Brzozowski, M. & Birfer, I. Applications of MCDM Methods in the ERP System Selection Process in Enterprises. Handel Wewnętrzny. 2017. Vol. 3(368). Р. 40-52.
  • 17. Akcan, S. & Güldeş, M. Integrated Multicriteria Decision-Making Methods to Solve Supplier Selection Problem: a Case Study in a Hospital. Journal of Healthcare Engineering. 2019. No. 5614892. 10 p.
  • 18. Bhole, G.P. & Deshmukh, T. Multi Criteria Decision Making (MCDM) Methods and its applications. International Journal for Research in Applied Science & Engineering Technology (IJRASET). 2018. Vol. 6. No. V. P. 899-915.
  • 19. Amin, Md.A. & Das, A. & Roy, S. & Shikdar, Md.I. Warehouse Selection Problem Solution by Using Proper MCDM Process. International Journal of Science and Qualitative Analysis. 2019. Vol. 5. No. 2. P. 43-51.
  • 20. Ministry of National Economy of the Republic of Kazakhstan. Statistics Committee. 2019. Available at: https://stat.gov.kz.
  • 21. Киселёва, Г.В. & Кутьенко, С.Ю. & Жайлаубеков, М.А. Основные направления развития логистической инфраструктуры товаропроводящей сети Казахстана. Международный журнал прикладных и фундаментальных исследований. 2017. Vol. 8(2). P. 330-332. [In Russian: Kiseleva G.V. & Kutienko S.Yu. & Zhaylaubekov M.A. The main directions of development of the logistics infrastructure of the distribution network of Kazakhstan. International Journal of Applied and Basic Research].
  • 22. Союз транспортников Казахстана «KAZLOGISTICS». 2019. Available at: http://kazlogistics.kz [In Russian: The Union of Transport Workers of Kazakhstan "KAZLOGISTICS"].
  • 23. Rakhmangulov, A. & Sładkowski, A. & Osintsev, N. & Kopylova, O. & Dyorina, N. Sustainable development of transport systems for cargo flows on the East-West direction. In: Sładkowski, A. (ed.) Transport systems and delivery of cargo on East – West routes. Studies in systems, decision and control 155. Cham: Springer. 2018. P. 3-69.
  • 24. Stojčić, M. & Stević, Ž. & Nikolić, A. & Božičković. Z. A multi-criteria model for evaluation and selection of AGV's in a warehouse. Modern Problems of Russian Transport Complex. 2019. Vol. 9. No. 1. P. 13-20.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
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