Robust data envelopment analysis with uncertain date: An analysis to measure hotel efficiency in Crete

Subject Areas : International Journal of Data Envelopment Analysis

Neda Manavizadeh ¹ , Hamed Hamed Farrokhi-Asl ² , Masoud Rabbani ³

1 - Department of Industrial Engineering, KHATAM University, Tehran, Iran
2 - School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran
3 - School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

Received: 2016-09-18 Accepted : 2016-12-28 Published : 2017-01-01

Keywords: Data Envelopment Analysis, Uncertainty, robust, hotel efficiency,

Abstract :

Due to strict competition in the global market for Tourism services and Hotels in the tourism industry and also the importance of satisfying tourists, awareness about the efficiency of hotel for hotel owners and hotel managers is very important. The purpose of this paper is measuring performance of hotels in Crete by using Robust Data Envelopment analysis (RDEA) technique considering uncertain data. The proposed method of this paper develops a RDEA method with the consideration of uncertainty on output parameters. In order to use robust optimization methods in this article, after the introduction of input and output, we calculate the efficiency of 50 luxury hotel in Crete by means of GAMS software. The method is based on the adaption of robust optimization approaches proposed in the literature. Finally, we compare the performance achieved with previous research on these hotels and our results. It is found that the efficiency decreases, but the level of confidence increases.

References:

[1] Anderson RI, Fish M, Xia Y, Michello F. Measuring efficiency in the hotel industry: a stochastic frontier approach. International journal of hospitality Management. 1999 Mar 31;18(1):45-57.

[2] Aissa SB, Goaied M. Determinants of Tunisian hotel profitability: The role of managerial efficiency. Tourism Management. 2016 Feb 29;52:478-87.

[3] Ashrafi A, Seow HV, Lee LS, Lee CG. The efficiency of the hotel industry in Singapore. Tourism Management. 2013 Aug 31; 37:31-4.