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With cognizance to some differences among the ports and complexities in productivity measurement, the research tries to identify and evaluate productive issues in terms of technical efficiencies (managerial efficiency) and scale efficiencies (managerial and allocative efficiency) experienced at individual Nigeria ports. It equally provided a technical benchmark for assessing the overall efficiencies of the respective ports in Nigeria during the pre-concessioned and post-concessioned era. The level of inputs required for each DMU to be efficient is given i.e. for DMU 2014 to be efficient input-wise, the number of berth may be reduced by two units as a result of idleness of this two (2) berths, the average turnaround time may be reduced by 3 hours and the berth occupancy may be reduced by 3%. Since a fixed asset such as berth cannot be reduced therefore technically and complimentarily the turnaround time and berth occupancy rate need to be decreased more than 5 hours and 3% respectively by allocating the queue ship at the over-utilized berth to the idle berths which in turn will mitigate underutilization of this berths been required to be reduced or alternatively the port should embrace more cargo handling technology to enhance fast loading and discharging of cargoes thus attracting more vessels to the Port.
Rocznik
Tom
Strony
37--47
Opis fizyczny
Bibliogr. 6 poz., tab., wzory
Twórcy
autor
- National Centre for Technology Management, South - East Zone, Enugu, Nigeria
autor
- Department of Transport Management Technology, Federal University of Technology, Owerri, Imo State, Nigeria
Bibliografia
- Hajizadeh, A., Saeidi, S. N., Kaabi, A., Yousefi, H., & Zaredoost, M. (2017). Relative efficiency analysis of container ports in Middle East using DEA. Journal of Marine Science and Technology, 15(4), 69-80.
- Kaiser, E., Pathomsiri, S., & Haghani, A. (2006). Developing measures of US ports productivity and performance: using DEA and FDH approaches (No. 1427-2016-118553).
- Lin, W. C., Liu, C. F., & Chu, C. W. (2005). Performance efficiency evaluation of the Taiwan’s shipping industry: an application of data envelopment analysis. In Proceedings of the Eastern Asia Society for Transportation Studies (Vol. 5, No. 1, pp. 467-476). Citeseer.
- Talley, W. K. (2009). Port Economics. In W. K. Talley, Port Economics (p. 17). Virginia: Taylor & Francis e-Library.
- van Dyck, G. K., & Ismael, H. M. (2015). Multi-criteria evaluation of port competitiveness in West Africa using analytic hierarchy process (AHP). American Journal of Industrial and Business Management, 5(06), 432.
- Zhu, J. (2003). Quantitative Models for Performance Evaluation and Benchmarking; Data Envelopment Analysis with Spreadsheets and DEA Excel Solver. In J. Zhu, Envelopment Model; Envelopment Models with Variable Returns to Scale (pp. 5-11). New York: Springer International Series Operations Research Management Science.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9f97b1b9-7260-4964-8190-963e35788c97