Document Type : Scientific - Research

Authors

1 Railway Engineering, Iran University of Science and Technology

2 Iran University of Science and Technology

Abstract

 Higher education in Iran has excessively increased in the past years resulting in high numbers of unemployed engineers. However, railway engineering major that has been established by the direct support of the railway industry and due to its needs, had a positive impact on strengthening the workforce. In this research, the experience of this school is reviewed. Afterwards by using data envelopment analysis, the efficiency of 19 regions of Iranian railways are analyzed based on their human resources. The results of the model show that the least excess of employees belongs to the graduate degree and higher with just 2 percent, underlying the fact the correct policy have been adopted so far. Efficient regions are Fars, Jonoob Shargh, Shomal Gharb, Tehran and Lorestan. Maximum excess employees were seen at Shargh region with 30 and 21 persons for graduate and higher and associate degree, while the highest rate of excess employees with diploma or lower degree belonge to Hormozgan region. In total, 14 percent of railway employees with diploma degree or lower are redundant that must be taken into consideration for future employments so that the least new employments be done in this category.

Keywords

Main Subjects

References
Ahadi, Hamidreza; Saghian, Z. (2015) ‘Applying data envelopment analysis to evaluate and rank the efficiency of railway regions in Iran’. Quarterly Journal of Transportation Engineering, 7(2), pp. 367–372. Available at: http://jte.sinaweb.net/article_14860.html (in Persian).
Andalib, M. (2015) ‘Unequal development of graduate education and the unemployment crisis of graduates’, Progressive Congress of Progress, (8).
Cooper, W. W., Seiford, L. M. and Zhu, J. (eds) (2011) Handbook on Data Envelopment Analysis. Boston, MA: Springer US (International Series in Operations Research & Management Science). doi: 10.1007/978-1-4419-6151-8.
Din Mohammady, M., Narimani Bonaab, M. and Qurbani, F. (2018). ‘Simulation of the trend of supply changes in higher education graduates and unemployed people with higher education in 2016-2025’, Economic Research. Assistant Professor, Zanjan University, Faculty of Humanities, Department of Economics, 53(3), pp. 569–595. doi: 10.22059/jte.2017.225192.1007458 (in Persian).
Ebrahimi, M., Gholizadeh, A. A. and Alipour, A. (2015) ‘The Relationships between education and occupation in Iran: an application of Verdugo-Verdugo Model’, The Economic Research, 15(3). Available at: http://journals.modares.ac.ir/article-18-6774-fa.html (in Persian).
Emrouznejad, A. and Yang, G. (2018) ‘A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016’, Socio-Economic Planning Sciences, 61, pp. 4–8. doi: 10.1016/j.seps.2017.01.008.
Heydari, S. (2018) ‘Evaluation of human resources efficiency in Imam Hossein Hospital of Mazandaran using fuzzy data envelopment analysis.’, First National Conference on Modern Management Studies in Iran, Karaj, Allameh Khoi Institute of Higher Education. Available at: https://www.civilica.com/Paper-MODIRACONF01-MODIRACONF01_168.html (Accessed: 7 January 2020) (in Persian).
Khosravi Pour, B. and Nasim, R. (2018) ‘Third generation university: Entrepreneurship and wealth creation why and how.’, Second International Congress on Community Empowerment in Management, Economics, Entrepreneurship and Cultural Engineering, Tehran. Available at: http://www.civilica.com/Paper-SPCONF02-SPCONF02_003.html (Accessed: 7 January 2020) (in Persian).
Liu, J. S., Lu, L. Y. Y. and Lu, W.-M. (2016) ‘Research fronts in data envelopment analysis’, Omega, 58, pp. 33–45. doi: 10.1016/j.omega.2015.04.004.
Movahdi,  ‌Mohammad M. and Hosseini, S. M. (2010) ‘Determining and ranking the efficiency of different railway areas of the Islamic Republic of Iran using data envelopment analysis’, Journal of Operations Research in its Applications (Applied Mathematics) - Lahijan Azad University, 7(1), pp. 49–64. Available at: http://jamlu.liau.ac.ir/article-1-7-fa.html (Accessed: 5 June 2020) (In Persian).
National Rail University Center. (2015) Overview. Available at: http://www.nurailcenter.org/about/overview.php (Accessed: 7 January 2020).
Pour Kazemi, M. H. and Rezaei, J. (2003) ‘Evaluation of the efficiency of the thirteen railway areas of the Islamic Republic of Iran by data envelopment analysis (D.E.A)’, Economic Research, 38(3). Available at: https://journals.ut.ac.ir/article_18228.html (in Persian).
Pourkazemi, M. H. and Soltani, H. (2007) ‘Evaluation of the efficiency of the railways of the Islamic Republic of Iran in comparison with the railways of Asian and Middle Eastern countries’, Economic Research, (78), pp. 87–121. Available at: https://www.sid.ir/fa/journal/ViewPaper.aspx?id=64248 (in Persian).
Rail Talent. (2014) A Rail University- New Delhi recongnises the importance of skills development withing the railway industry. Available at: https://railtalent.org/ (Accessed: 7 January 2020).
RRUKA. (2015) Business Plan. Available at: http://www.rruka.org.uk/about-rruk-a/business-plan/ (Accessed: 7 January 2020).
Sergiy and Tsykhmistro, C. V. (2013) ‘Ukrainian National Cluster of Rail Education and Research’. Transport & Logistics . 2013, Vol. 13 Issue 27, p1-9. 9p. Available at: http://www.sjf.tuke.sk/transportlogistics/wp-content/uploads/Tsykhmistro-Cheklov.pdf (Accessed: 7 January 2020).
Statistical Annual Report For Experts, Islamic Republic of Iran Railway. (2018) Availabel: Available at: http://www.rai.ir/ (Accessed: 7 January 2020).