Authors: A. Azadeh, H.R. Izadbakhsh, A. Bukhari
Addresses: Department of Industrial Engineering, Department of Engineering Optimization Research, Center of Excellence for Intelligent-Based Experimental Mechanics, College of Engineering, University of Tehran, P.O. Box 11365-4563, Iran. ' Department of Industrial Engineering, University of Teacher Training; Persian Quality Forum, Tehran, Iran. ' Department of Telecommunication, A. James Clark School of Engineering, University of Maryland, College Park, MD, USA
Abstract: This paper presents an integrated algorithm for efficiency assessment of wireless communication sectors. It is based on standard indicators as defined by the International Telecommunication Union (ITU), data envelopment analysis (DEA) for analysis and optimisation and principle component analysis for verification and validation. The DEA model is verified and validated by principal component analysis (PCA) and Spearman correlation technique. Eight standard indicators pertaining to wireless communication sector were identified from the ITU database. To present the usability of the algorithm, data for 42 countries with respect to three inputs and five outputs were collected through ITU. The results show weak and strong points of each country identifying, inputs or outputs having major impact on performance. This is the first study to present an integrated algorithm for efficiency analysis and assessment of wireless communication sectors.
Keywords: data envelopment analysis; DEA; wireless communications; efficiency assessment; principal component analysis; PCA.
International Journal of Productivity and Quality Management, 2009 Vol.4 No.4, pp.437 - 460
Published online: 30 Mar 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article