An Innovative Fuzzy TOPSIS Method to Determine the Location of A New Hospital

Year 2018, Volume: 2 Issue: 4, 133 - 136, 28.12.2018

Erhan Baran

Abstract

The optimal facility location choosing is very necessary
action for newly established facilities. There are many phases for building the
new hospital. Firstly, hospital’s location must be determined for the new one.
While choosing the most appropriate location; a number of criteria is taking
into account by facility managers who are in the case of deciding and they
evaluate alternatives under the criteria. And also location of healthcare
buildings are extremely important. In this study, six experts’ opinions help us
to decide the best place for new hospital in Eskişehir. The assessments are
decision makers’ subjective assessments. Most commonly used methods in this
kinds of problem is fuzzy logic. So in this study it is used for determining
methods for multi-criteria problems. 5 candidates are evaluated and the fuzzy
TOPSIS method is used to sequence the options for new hospital location.
Objective of this study is selecting the best location for new hospital in
Eskişehir.

Keywords

Facility location, Fuzzy TOPSIS, Multi-criteria decision making, Fuzzy logic

References

• Toth, P., Vigo, D., ‘The vehicle routing problem’, SIAM Monographs on Discrete Mathematics and Applications, SIAM Publishing, Philadelphia, PA, 2001.
• Erlenkotter, D., “A dual-based procedure for uncapacitated facility location”, Operations Research, 26), 992-1009, 1978.
• Goemans, M, Skutella, M. “Cooperative facility location games”, Journal of Algorithms, 50, 194-214, 2004.
• Deng, X., Papadimitriou, C.H., “On the complexity of cooperative solution concepts”, Math. Operation Research, 19, 257-266, 1994.
• Padberg, M., “Linear optimization and extensions”, Springer-Verlag, 1995.
• Balinski, M.L., “Integer programming: methods, uses, computation”, Management Science, 12, 253-313, 1965.
• Chudak, F.A., “Improved approximation algorithms for uncapacitated facility location”, Integer programming and combinatorial optimization, Springer-Verlag, 1412, 180-194, 1998.
• Baran, E., Erol, S., “A model suggestion to determine the order quantity in supplier selection problems”, Gazi University Journal of Science Part A: Engineering and Innovation, 3, 45-50, 2015.
• Baran, E., “Evaluation and scheduling of the car manufacturing factory’s employers’ work shifts”, International Journal of Engineering Technologies, 3(1), 14-18, 2017.
• Klir, G.J., Yuan, B., “Fuzzy sets and fuzzy logic: theory and applications”, Prentice-Hall Inc., 1995.
• Barany, I., Edmonds, J, Wolsey, L.A., “Packing and covering a tree by subtrees”, Combinatorica, 6, 221-233, 1986.
• Eppen, G.D., “Effect of centralization on expected cost in a multi-location newsboy problem”, Management Science, 25, 498-501, 1979.
• Tamir, A., “On the core of cost allocation games defined on location problems”, Transportation Science, 27, 81-86, 1992.