Write your message
Winter and Spring 2021                   Back to the articles list | Back to browse issues page

XML Print

Khorramshahr University of Marine Science and Technology
Abstract:   (102 Views)
This article aims to determine the main factors affecting the fast and reliable loading and unloading of the dry bulk terminal in the Imam Khomeini Port with an emphasis on reduced rate of loading and unloading in order to improve the performance of the port. In this study, the actual loading and discharging statistics data related to the port used previously as validated databases. A linear regression method used for calculating and final analysis in order to analyze the data and obtain the results by using the econometric method. The overall results of this study indicate that in the first model-independent variables of a technical defect of ship equipment, delay in separation, and displacement of cooling equipment affect the dependent rate of loading variable and this effect is indirect. In the second model, independent quarantine variables, technical defects of ship equipment, and the displacement of the cooling equipment influenced by the rate of unloading the dependent variable and these effects are indirect.
Full-Text [PDF 425 kb]   (28 Downloads)    
Type of Study: Research Paper | Subject: Maritime Transport and Port Management
Received: 2020/11/13 | Accepted: 2021/02/24

1. Bazargan, A. (2012) 'Practical statistics', first publication, Shiraz University Publication, pp 48-62.
2. Farhanianzadeh, S. and Yousefi, H. (2014) 'Investigation and ranking of factors affecting the optimal unloading and loading of bulk goods in the port' MSc. thesis, Khorramshahr University of Marine Science and Technology.
3. Nooramin, S. and Sayareh, J. (2012) 'Finding the causes of delays in the operation of unloading and loading dry bulk goods in the port of Imam Khomeini using the method of error analysis and its effects', Journal of Oceanography, year 2, issue 6, summer, pp 49-55.
4. Bugaric, U. and Petrovic, D. (2007) 'Increasing the capacity of terminal for bulk cargo unloading.' Simulation Modelling Practice and Theory 15(10): 1366-1381. [DOI:10.1016/j.simpat.2007.09.006]
5. Tongzon, J. L. (1995) 'Determinants of port performance and efficiency', Transportation Research Part A, vol. 29A, no.3, pp.245-252 [DOI:10.1016/0965-8564(94)00032-6]
6. Van Vianen, T. et al. (2014) 'Simulation-based determination of the required stockyard size for dry bulk terminals.' Simulation Modelling Practice and Theory 42: 119-128. [DOI:10.1016/j.simpat.2013.12.010]
7. Vianen, T. A., Mooijman, D. L., Ottjes, J. A., and Lodewijks, G. (2012) 'Simulation based operation control of dry bulk terminal in proceedings of the (2012)', International Conference on Networking Sensing and Control (ICNSC 2012) , Beijing - China, 35: 73-78.
8. Neter, J., Kutner, M. H., Nachtsheim, C. J., and Wasserman, W. (1996) 'Applied linear statistical models', vol. 4, p. 318. Chicago - Irwin.
9. U. Bugaric, D. Petrovic (2007) 'Increasing the capacity of terminal for bulk cargo unloading'. Simulation Modelling Practice and Theory 1366-1381 [DOI:10.1016/j.simpat.2007.09.006]
10. UNCTAD. (1993) 'Strategic planning for port authorities', United Nations, Geneva.
11. Umang, N. et al. (2011) 'The berth allocation problem in bulk ports'. 11th Swiss Transport Research Conference.
12. Waldhwa, L. C. (1992) 'Planning operations of bulk loading terminals by simulation', Journal of Waterway, Port, Coastal and Ocean Engineering, vol. 118, no. 3, pp. 300-315 [DOI:10.1061/(ASCE)0733-950X(1992)118:3(300)]

Send email to the article author

Creative Commons License
International Journal of Maritime Technology is licensed under a

Creative Commons Attribution-NonCommercial 4.0 International License.