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Identifying optimal location and necessary quantity of warehouses in logistic system using a radiation therapy method

    Viktor Danchuk Affiliation
    ; Olena Bakulich Affiliation
    ; Vitaliy Svatko Affiliation

Abstract

The paper suggests a method for determining the optimal location of service points (warehouses) based on the method for optimal planning of radiation therapy of malignant tumors. This method enabled us to identify the location of the most optimal number of warehouses taking into account their capacity for the required volume of freight transportation and distance from warehouses to consumers. The results of the study coincide with the results obtained by using the method of ant algorithm. The proposed method of finding the optimal location of warehouses enables to significantly minimize the cost of delivering goods from a producer to a consumer.

Keyword : warehouse, supermarket, routing task, small-lot freight, optimal route, optimization, freight transportation, logistics

How to Cite
Danchuk, V., Bakulich, O., & Svatko, V. (2019). Identifying optimal location and necessary quantity of warehouses in logistic system using a radiation therapy method. Transport, 34(2), 175-186. https://doi.org/10.3846/transport.2019.8546
Published in Issue
Feb 22, 2019
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References

Dorigo, M.; Maniezzo V.; Colorni, A. 1996. Ant system: optimization by a colony of cooperating agents, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 26(1): 29–41. https://doi.org/10.1109/3477.484436

Drezner, T. 2014. A review of competitive facility location in the plane, Logistics Research 7: 114. https://doi.org/10.1007/s12159-014-0114-z

Grankina, N. A. 2014. Ob odnoj modeli zadachi optimizacii razmeshheniya i polya dejstviya konechnogo chisla istochnikov v nepreryvnoj srede, v Sbornik materialov IX Mezhdunarodnoj nauchnoj konferencii studentov i molodyh uchenyh “Nauka i obrazovanie – 2014”, 11 aprelya 2014 g., Astana, Kazahstan, 2311–2314. (in Russian).

Griffin, P. M.; Scherrer, C. R.; Swann, J. L. 2008. Optimization of community health center locations and service offerings with statistical need estimation, IIE Transactions 40(9): 880–892. https://doi.org/10.1080/07408170802165864

Gu, W.; Wang, X.; McGregor, S. E. 2010. Optimization of preventive health care facility locations, International Journal of Health Geographics 9: 17. https://doi.org/10.1186/1476-072X-9-17

Kazakov, A. L.; Lempert, A. A. 2011. Ob odnom podhode k resheniyu zadach optimizacii, voznikayushhih v transportnoj logistike, Avtomatika i telemehanika 7: 50–57. (in Russian).

Kazakov, A. L.; Pospelov, A. M. 2008. Opredelenie optimal’nogo mestonahozhdeniya bazovogo kontejnernogo terminala, Transport Urala 2: 50–57. (in Russian).

Klepper, L. Ya. 2009. Opredelenie polya dejstviya konechnogo chisla istochnikov v nepreryvnoj srede, Jekonomika i matematicheskie metody 45(2): 113–119. (in Russian).

Melo, M. T.; Nickel, S.; Saldanha da Gama, F. 2006. Dynamic multi-commodity capacitated facility location: a mathematical modeling framework for strategic supply chain planning, Computers & Operations Research 33(1): 181–208. https://doi.org/10.1016/j.cor.2004.07.005

MSP. 2017. Rozrahunok normy tryvalosti robochogo chasu na 2017 rik. Ministerstvo social’noi’ polityky (MSP) Ukrai’ny. Available from Internet: https://www.msp.gov.ua/news/8632.html (in Ukrainian).

Shtovba, S. D. 2003. Murav’inye algoritmy, Exponenta Pro. Matematika v prilozheniyah 4: 70–75. (in Russian).

Sonmez, A. D.; Lim, G. J. 2012. A decomposition approach for facility location and relocation problem with uncertain number of future facilities, European Journal of Operational Research 218(2): 327–338. https://doi.org/10.1016/j.ejor.2011.10.028

Sun, M. 2006. Solving the uncapacitated facility location problem using tabu search, Computers & Operations Research 33(9): 2563–2589. https://doi.org/10.1016/j.cor.2005.07.014

Taji, T.; Tanigawa, S.-I.; Kamiyama, N.; Katoh, N.; Takizawa, A. 2008. Finding an optimal location of line facility using evolutionary algorithm and integer program, Journal of Computational Science and Technology 2(3): 362–370. https://doi.org/10.1299/jcst.2.362

Ua.trud.com. 2017. Obzor statistiki zarplat professii Voditel’ firmy v Kieve. Available from Internet: https://ua.trud.com/kiev/salary/12/76922.html (in Russian).

VRU. 1987. Jedyni normy chasu na perevezennya vantazhiv avtomobil’nym transportom i vidryadni rozcinky dlya oplaty praci vodii’v. Postanovlenie Goskomtruda SSSR i Sekretariata VCSPS No 153/6-142. Zakonodavstvo Ukrai’ny, Verhovna Rada Ukrai’ny (VRU). Available from Internet: https://zakon3.rada.gov.ua/laws/show/v0142400-87 (in Ukrainian and Russian).