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Croatian Operational Research Review, Vol. 6 No. 1, 2015.

Izvorni znanstveni članak
https://doi.org/10.17535/crorr.2015.0002

Min-max optimal public service system design

Marek Kvet ; University of Žilina, University Science Park, Žilina, Slovakia
Jaroslav Janáček ; University of Žilina, Faculty of Management Science and Informatics, Žilina, Slovakia

Puni tekst: engleski, pdf (159 KB) str. 17-27 preuzimanja: 234* citiraj
APA 6th Edition
Kvet, M. i Janáček, J. (2015). Min-max optimal public service system design. Croatian Operational Research Review, 6 (1), 17-27. https://doi.org/10.17535/crorr.2015.0002
MLA 8th Edition
Kvet, Marek i Jaroslav Janáček. "Min-max optimal public service system design." Croatian Operational Research Review, vol. 6, br. 1, 2015, str. 17-27. https://doi.org/10.17535/crorr.2015.0002. Citirano 24.04.2019.
Chicago 17th Edition
Kvet, Marek i Jaroslav Janáček. "Min-max optimal public service system design." Croatian Operational Research Review 6, br. 1 (2015): 17-27. https://doi.org/10.17535/crorr.2015.0002
Harvard
Kvet, M., i Janáček, J. (2015). 'Min-max optimal public service system design', Croatian Operational Research Review, 6(1), str. 17-27. doi: https://doi.org/10.17535/crorr.2015.0002
Vancouver
Kvet M, Janáček J. Min-max optimal public service system design. Croatian Operational Research Review [Internet]. 2015 [pristupljeno 24.04.2019.];6(1):17-27. doi: https://doi.org/10.17535/crorr.2015.0002
IEEE
M. Kvet i J. Janáček, "Min-max optimal public service system design", Croatian Operational Research Review, vol.6, br. 1, str. 17-27, 2015. [Online]. doi: https://doi.org/10.17535/crorr.2015.0002

Sažetak
This paper deals with designing a fair public service system. To achieve fairness, various schemes are be applied. The strongest criterion in the process is minimization of disutility of the worst situated users and then optimization of disutility of the better situated users under the condition that disutility of the worst situated users does not worsen, otherwise called lexicographical minimization. Focusing on the first step, this paper endeavours to find an effective solution to the weighted p-median problem based on radial formulation. Attempts at solving real instances when using a location-allocation model often fail due to enormous computational time or huge memory demands. Radial formulation can be implemented using commercial optimisation software. The main goal of this study is to show that the suitability solving of the min-max optimal public service system design can save computational time.

Ključne riječi
min-max approach; radial formulation; public service system

Hrčak ID: 138569

URI
https://hrcak.srce.hr/138569

Posjeta: 424 *