Identyfikatory
DOI
Warianty tytułu
Języki publikacji
Abstrakty
The article identifies the optimal location of the warehouse distribution centre for Slovenian companies in the international environment. The process of location selection takes into account a series of interconnected factors, including flows of goods between countries; the level of development of the transport system and transport infrastructure; the number of transport companies; labour costs and labour productivity; and the tax benefits existing in each country. Scientific literature mentions various methods for choosing a warehouse location, which differ in complexity and in the use of different qualitative and quantitative factors. However, the methods discussed have a disadvantage in that they use the current input variables when defining the optimal location. Choosing the optimal warehouse location is an important long-term logistics process, which should consider the fact that the environment in which companies operate is constantly changing. Using the proposed approach, future trends in the international environment are presented, which enables a better choice of warehouse location in the long run. Through this approach, companies can save on logistic costs, while also providing better quality logistics services. The analysis represents a starting point for deciding the location of a warehouse, but does not constitute a complete set of guidelines for companies to follow, as the choice of a particular location is dependent upon the complexity of the international environment in which a company operates.
Słowa kluczowe
Rocznik
Tom
Strony
79--85
Opis fizyczny
Bibliogr. 23 poz., tab.
Twórcy
autor
- University of Ljubljana, Faculty of Maritime Studies and Transport Pot pomorščakov 4, 6320 Portorož, Slovenia
autor
- University of Maribor, Faculty of Civil Engineering, Transportation Engineering and Architecture Smetanova 17, 2000 Maribor, Slovenia
autor
- Vilnius Gediminas Technical University, Faculty of Transport Engineering J. Basanaviciaus 28B, LT-03224 Vilnius, Lithuania
Bibliografia
- 1. Ahmadi Javid, A. & Azad, N. (2010) A location-inventory model including delivery delay cost and capacity constrains in a stochastic distribution network. South African Journal of Industrial Engineering 21, pp. 51–61.
- 2. Askin, R.G., Baffo, I. & Xia, M. (2014) Multi-commodity warehouse location and distribution planning with inventory consideration. International Journal of Production Research 52 (7), pp. 1897–1910.
- 3. Ballou, R.H. (1999) Business logistics management. Upper Saddle River, New Jersey: Prentice-Hall.
- 4. Demirel, T., Demirel, N.C. & Kahraman, C. (2010) Multi-criteria warehouse location selection using Choquet integral. Expert Systems with Applications 37, pp. 3943– 3952.
- 5. Dormus, A. & Turk, S.S. (2014) Factors Influencing Location Selection of Warehouses at the Intra-Urban Level: Istanbul Case. European Planning Studies 22 (2), pp. 268–292.
- 6. EU (2017) Transport in figures. Luxembourg: Publications Office of the European Union.
- 7. Eurostat (2018a) European Statistics. Database. [Online] Available from: http://ec.europa.eu/eurostat/web/national-accounts/data/database [Accessed: March 2018].
- 8. Eurostat (2018b) European Statistics. Earnings. [Online] Available from: http://ec.europa.eu/eurostat/web/labour-market/earnings [Accessed: March 2018].
- 9. Fidata (2017) Kje plačujejo največ in kje najmanj davka. [Online] February 2017. Available from: http://www.fidata. si/2017/02/23/kje-placujejo-najvec-in-kje-najmanj-davka/ [Accessed: March 2018].
- 10. Huang, S., Wang, Q., Batta, R. & Nagi, R. (2015) An integrated model for site selection and space determination of warehouses. Computers & Operations Research 62, pp. 169–176.
- 11. Izvozno okno (2017) [Online] Available from: https://www. izvoznookno.si/Bilateralni_ekonomski_odnosi [Accessed: March 2018].
- 12. Lambert, D.M., Stock, J.R. & Ellram, L.M. (1998) Fundamentals of logistics. International ed. Boston.
- 13. Lewandowski, P. (2016) User charges for road infrastructure in certain European Union member states. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie 48 (120), pp. 138–145.
- 14. Petraska, A., Ciziuniene, K. & Prentkovskis, O. (2018) Methodology of selection of heavy and oversized freight transportation system. Transport and Telecommunication Journal 19 (1), pp. 45–58.
- 15. Schmenner, R.W. (1982) Making business location decisions. Englewood Cliffs, NJ: Prentice Hall.
- 16. Simchi-Levi, D., Kaminsky, P. & Simchi-Levi, E. (2007) Designing and managing the supply chain : concepts, strategies, and case studies. McGraw-Hill Education.
- 17. Skerlic, S. (2017) The impact of employee education and knowledge on the logistics processes in Slovenian companies. Pomorstvo : journal of maritime studies 31, pp. 91–95.
- 18. Skerlic, S., Muha, R. & Sokolovskij, E. (2017) Application of modern warehouse technology in the Slovenian automotive industry. Transport 32 (4), pp. 415–425.
- 19. Stock, R.J. & Lambert, M. (2001) Strategic Logistics Management. New York: McGraw-Hill.
- 20. Tancrez, J.S., Lange, J.C. & Semal, P. (2012) A location-inventory model for large three-level supply chains. Transportation Research Part E 48, pp. 485–502.
- 21. Verseckiene, A., Palšaitis, R. & Yatskiv Jackiva, I. (2017) Evaluation of alternatives to integrate special transportation services for people with movement disorders. Transport and telecommunication journal 18 (4), pp. 263–274.
- 22. Vlachopoulou, M., Silleos, G. & Manthou, V. (2001) Geographic information systems in warehouse site selection decisions. International Journal of Production Economics 71, pp. 205–212.
- 23. Wikipedia (2018) Other large ports in Europe. [Online] Available from: https://en.wikipedia.org/wiki/List_of_busiest_ports_in_Europe [Accessed: August 2018].
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-505dfecf-c386-4525-a719-1fd3f68fe7ac