Abstract
The competitiveness of a container port is dependent on the productivity of its container terminal operations. To enhance productivity, management of logistics and implementation of strategies are crucial. This paper aims to identify performance measures impacting productivity within the container terminal port operations value chain through a combination of a case study and documentary research. Data was collected quantitatively from marine, container, and hinterland dimensions. Regression and multiple regression analyses were conducted to determine correlations between independent and dependent key performance measures. The study found that almost 80% of changes in ship turnaround time (STAT) were explained by the measures investigated, including anchorage (AWT), gross crane (GCH) and ship working hours (SWH), and rail (RTT) and truck turnaround times (TTT). Improvements in gross crane and ship working hours, together with rail turnaround, resulted in increased productivity. This study contributes to new knowledge by examining the relationship between STAT as a dependent variable and AWT, GCH, SWT, TTT, and RTT as independent variables using a case study of a Southern African port. The significance of the study is its contribution to revealing the relationship between STAT and other key performance indicators of container terminal productivity levels in a port.
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Abbreviations
- AWT:
-
Anchorage waiting time
- CDT:
-
Cargo dwell time
- GCH:
-
Gross crane per hour
- GWT:
-
Gate waiting time
- RTT:
-
Rail turnaround time
- STAT:
-
Ship turnaround time
- SWH:
-
Ship working hour
- TTT:
-
Truck turnaround time
- UNCTAD:
-
United Nations Conference on Trade and Development
References
Abu Aisha T, Ouhimmou M, Paquet M, Montecinos J (2021) Developing the seaport container terminal layout to enhance efficiency of the intermodal transportation system and port operations—case of the port of Montreal. Marit Policy Manag 2021(49):181–198
Alonso LG, Vega MR (2003) The effect of investment in port infrastructure on the development of traffic at spanish ports. 150:31–37. http://worldcat.org/issn/00348619
Azab A, Karam A, Eltawil A (2018) Impact of collaborative external truck scheduling on yard efficiency in container terminals. https://doi.org/10.1007/978-3-319-94767-9_6
Balliauw M (2020) Time to build: a real options analysis of port capacity expansion investments under uncertainty. Res Transp Econ 90:100929. https://doi.org/10.1016/j.retrec.2020.100929
Buhari SO, Ndikom O, Theophilus N (2017) An assessment of the relationship among cargo-throughput, vessel turnaround time and port-revenue in Nigeria. J Adv Res Bus Manag Account 3(7):01–09. https://doi.org/10.53555/nnbma.v3i7.54
Caschili S, Medda F (2015) The port attractiveness index: application on African ports. Region et Developpement 41:47–82. https://discovery.ucl.ac.uk/id/eprint/1492718
Cheon S, Lee C, Wang Y (2017) Processing time ambiguity and port competitiveness. Prod Oper Manag 26(12):2187–2206. https://doi.org/10.1111/poms.12752
Comtois C, Slack B (2019) Ship turnaround times in port: comparative analysis of ocean container carriers. Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation, Montreal, Canada, May, p 2019
Dayananda SK, Gurudev V and Dwarakish GS (2021) Factors affecting the vessel turnaround time in a seaport. In: 25th international conference on hydraulics, Odisha. https://www.researchgate.net/profile/Dayananda-Karnoji/publication/350654572
De Langen PW, Helminen R (2015) EU terminal productivity indicator. https://www.espo.be/media/D.4.3%20EU%20Terminal%20Productivity%20Indicator.pdf. Accessed 23 Feb 2019
Department of Transport (2017) National rail policy: draft while paper. 1st draft. https://www.gov.za/sites/default/files/gcis_document/201708/draftwhitepapernationalrailpolicy.pdf . Accessed 22 Feb 2020
Ducruet CH, Itoh H, Merk O (August 2014) 2014. Time efficiency at world container ports. Discussion Paper, International Transport Forum, Paris
Duru O, Shibasaki R, Segi S (2018) Maritime transport in regional context, governance and environmental phenomenon. Marit Policy Manag 46(1):1–3
Esmer S, Duru O, Alnipak S (2019) Port productivity assessment for major container terminals of Turkey. In: Port productivity assessment for major container terminals of Turkey, pp 45–65. https://www.torrossa.com/en/resources/an/4627888
Felicio JA, Caldeirinha V, Dionisio A (2015) The effect of port and container terminal characteristics on terminal performance. Marit Econ Logist 17:493–514. https://doi.org/10.1057/mel.2014.33
Fraser D, Notteboom T (2015) Institutional development paths in seaports: the Southern African case. Eur J Transp Infrastruct Res 15(4):506–535
Gidado U (2015) Consequences of port congestion on logistics and supply chain in African ports. Dev Ctry Stud 5(6):160–167
Gonzalez M, Quesada G (2022) Port productivity: benchmarking analysis of strategic ports. Int J Product Perform Manag. https://doi.org/10.1108/IJPPM-09-2022-0453
Gonzalez ME, Quesada G, Gonzalez-Cordoba S (2017) Port productivity: a comparison analysis among strategic ports. GAI International Academic Conferences Proceedings, New York, United States, 11–13 June 2017
Govender N, Mbhele TP (2014) Dynamics of Intermodal Logistical Systems on Containerisation and Road Transportation in Durban, South Africa. J Supply Chain Manag 8(1):1–10. https://doi.org/10.4102/jtscm.v8i1.150
Govender T, Brooks MJ, Bemont C (2017) The effect of multi-trailer systems on the efficiency of container movements between the ship and the stacks at the Durban container terminal. S Afr J Ind Eng 28(4):80–94. https://doi.org/10.7166/28-4-1771
Gumede SA, Chasomeris M (2012) Assessing stakeholders' perspectives on maritime port pricing in South Africa. (Doctoral dissertation, University of KwaZulu-Natal, Durban). https://www.researchgate.net/profile/Sanele-Gumede/publication/269687353
Guo L, Jiang C (2022) Optimal scale and capacity integration in a port cluster under demand uncertainty. Comput Ind Eng. https://doi.org/10.1016/j.cie.2022.108733
Ha MH, Yang Z, Lam JSL (2018) Port performance in container transport logistics: a multi-stakeholder perspective. Trans Policy 73:25–40. https://doi.org/10.1016/j.tranpol.2018.09.021
Hector T, Ruthven G (2012) The development of a performance measurement system for the South African container shipping industry. J Transp Supply Chain Manag 6(1):148–163. https://doi.org/10.4102/jtscm.v6i1.36
Huang WC, Kuo TC, Wu CT, Kuo CC (2012) Port management improvement strategies based on simulation model. J Mar Sci Technol 20(5):492–507. https://doi.org/10.6119/JMST-011-0426-1
ITF (2018) Developments related to the work of the international transport forum, international transport forum eightieth session of the inland transport committee, UNECE, Geneve, 21 February 2018
Juhel MH (2017) Container terminal concession guidelines. In: Sub-Saharan Africa transport policy working paper, vol 107. http://hdl.handle.net/10986/28309
Li L-L, Seo Y-J, Ha M-H (2021) The efficiency of major container terminals in China: super-efficiency data envelopment analysis approach. Maritime Business Rev 6(2):173–187. https://doi.org/10.1108/MABR-08-2020-0051
Li Z, Wang X, Zheng R, Na S, Liu C (2022) Evaluation analysis of the operational efficiency and total factor productivity of container terminals in China. Sustainability 2022(14):13007. https://doi.org/10.3390/su142013007
López-Bermúdez B, Freire-Seoane MJ, González-Laxe F (2019) Efficiency and productivity of container terminals in Brazilian ports (2008–2017). Util Pol 56:82–91. https://doi.org/10.1016/j.jup.2018.11.006
Lu B, Park NY (2013) Sensitivity analysis for identifying the critical productivity factors of the container terminal. J Mech Eng 9(59):536–546. https://doi.org/10.5545/sv-jme.2012.931
Marzooqi OA (2015) Impact of different factors on organizational productivity: research methodology. Int J Res Mark 4(8):110–138
Merk O, Notteboom T (May2015) 2015. Port hinterland connectivity. International Transport Forum Policy Paper, Paris, France
Miller K, Hyodo T (2022) Assessment of port efficiency within Latin America. J Ship trade 7. https://doi.org/10.1186/s41072-021-00102-5
Moreno C, Camarero A (2013) Methodology to maximise the profitability of a container shipping terminal through the optimisation of its level of automation. In: International forum on shipping, ports and airports (IFSPA) 2013: trade, supply chain activities and transport: contemporary logistics and maritime issues Hong Kong Polytechnic University. http://worldcat.org/isbn/9789623677677
Mthembu SE, Chasomeris MG (2022) A systems approach to developing a port community system for South Africa. J Shipp Trade 7:26. https://doi.org/10.1186/s41072-022-00128-3
Mthembu SE, Chasomeris M (2023) An evaluation of the governance structure of marine services in South Africa’s ports system. J Shipp Trade 8:17. https://doi.org/10.4102/jtscm.v17i0.879
Mthembu SE, Chasomeris MG (2023) An assessment of the capacity and the performance of marine servces in South Africa’s ports. J Supply Chain Manag 17:a879. https://doi.org/10.4102/jtscm.v17i0.879
Munim ZH, Sornn-Friese H, Dushenko M (2020) Identifying the appropriate governance model for green port management: applying analytic network process and best-worst methods to ports in the Indian Ocean rim. J Clean Prod 268:122156
Mutombo K, Olçer AI, Kuroshi L (2020) A system inter-dependent approach in addressing climate change in ports. https://doi.org/10.1007/978-3-030-32811-5_57-1
Naicker R, Allopi D (2015) Analysis of electric-rubber tyred gantries for a more green Durban container terminal. IOSR J Comput Eng 5(6 Part 2):24–28
Navarro MM, Bano RMLP, Cheng MDC, Torres MB, Kurata YB, Gutierrez MTE (2015) Queuing theory application using model simulation: solution to address Manila port congestion. https://www.researchgate.net/profile/Yoshiki-Kurata/publication/301730877
Notteboom T, Pallis A, Rodrigue JP (2022) Port economics, management and policy. Routledge. https://doi.org/10.4324/9780429318184
Nyema SM (2014) Factors influencing container terminals efficiency: a case study of Mombasa entry port. Eur J Log Purchasing Supply Chain Manag 2(3):39–78
Nze IC, Onyemechi C (2018) Port congestion determinants and impacts on logistics and supply chain network of five African ports. J Sustain Dev Trans Logistics 3(1):70–82. https://doi.org/10.14254/jsdtl.2018.3-1.7
Oktafia D, Gustina A, Widiawati S (2017) The influence of tug readiness and marine pilot for pilotage services-case study at port of Tanjung Priok, 2016-2017. In: Global research on sustainable transport (GROST 2017). Atlantis Press, pp 364–374. https://doi.org/10.2991/grost-17.2018.32
Pieterse D, Farole T, Odendaal M, Steenkamp A (2016) Supporting export competitiveness through port and rail network reforms: a case study of South Africa, vol 7532. World Bank Policy Research Working Paper. https://ssrn.com/abstract=2741187
Ports Regulator of South Africa (2016) Port benchmarking report: SA terminals. Public consultation roadshow discussion document. Durban, South Africa, 2016. https://portsregulatororgmy.sharepoint.com/personal/webcomments_portsregulator_org/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fwebcomments%5Fportsregulator%5Forg%2FDocuments%2FPortsregulator%2FBenchmarking%20and%20Research%2FSA%2Dport%2Dbenchmarking%2Dreport%2D2015%2D16%2Epdf&parent=%2Fpersonal%2Fwebcomments%5Fportsregulator%5Forg%2FDocuments%2FPortsregulator%2FBenchmarking%20and%20Research&ga=1.Accessed 16 May 2017
Premathilaka WHV (2018) Determining the factors affecting the turnaround time of container vessels: a case study on Port of Colombo. https://commons.wmu.se/cgi/viewcontent.cgi?article=1599&context=all_dissertations
Rodrigue JP, Cooper J, Merk O (2014) The competitiveness of ports in emerging markets: the case of Durban South Africa. International Transport Forum Policy Paper, Paris, France (June 2013)
Sáez-Carramolino L, Sánchez-Pérez A, Pérez-Cervera C, Furió-Pruñonosa S (2019) Just-in-time rail shuttle service feasibility study for the port of Valencia. WIT Trans Built Environ 187:135–147. https://doi.org/10.2495/MT190131
Saunders M, Lewis P, Thornhill A (2016) Research methods for business students. Pearson Education Limited, England
Scholtz C (2017) Durban Container Terminal: capacity analysis and feasibility of a dry port concept. Stellenbosch University. https://scholar.sun.ac.za/server/api/core/bitstreams/4f7980ab-a04e-4f5a-8c5e-5df100614270/content
Slack B, Comtois C, Wiegmans B, Witte P (2018) Ships time in port. Int J Ship Trans Log 10(1):45–62
Somensi K, Ensslin S, Dutra A, Ensslin L, Ripoll Feliu V, Dezem V (2017) Knowledge construction about port performance evaluation: an international literature analysis. Intang Cap 13(4):720–744
Suárez-Alemán A, Morales Sarriera J, Serebrisky T, Trujillo L (2015) When it comes to container port efficiency, are all developing regions equal? Transp Res Part A: Policy Pract 86:56–77. https://doi.org/10.1016/j.tra.2016.01.018
Tang G, Wang W, Song X, Guo Z, Yu X, Qiao F (2016) Effect of entrance channel dimensions on berth occupancy of container terminals. Ocean Eng 117:174–187. https://doi.org/10.1016/j.oceaneng.2016.03.047
The World Bank (2023) The container port performance index 2022: a comparable assessment of performance based on vessel time in port. CPPI. © World Bank. http://hdl.handle.net/10986/39824
Tirschwell P (2014) White paper: berth productivity: the trends, outlook and market forces impacting ship turnaround times. JOC Port Productivity. https://www.joc.com/sites/default/files/u59196/Whitepapers/JOC-PP-whitepaperv8%20(1).pdf
Transnet (2016) Port Operations documents
Transnet National Ports Authority (2018) National Ports Authority 2018. https://www.transnet.net/InvestorRelations/AR2018/TNPA.pdf
Transnet Port Terminals (2023) Key characteristics of the container terminal in the Southern African port. Unpublished
United Nations Conference on Trade and Development (UNCTAD) (2017) Review of maritime transport, 2017. https://unctad.org/system/files/officialdocument/rmt2017_en.pdf
United Nations Conference on Trade and Development (UNCTAD) (2022) Navigating stormy weathers. https://unctad.org/system/files/official-document/rmt2022_en.pdf
Wedemeier J, Steffens L (2023) Improving port sustainability performance: costbenefit and carbon footprint analysis for assessing infrastructure investments. J für Mobilität und Verkehr 16:38–49. https://doi.org/10.34647/jmv.nr16.id100
Wilmsmeier G, Tovar B, Sanchez RJ (2013) The evolution of container terminal productivity and efficiency under changing economic environments. Res Transp Bus Manag 8(50):66. https://doi.org/10.1016/j.rtbm.2013.07.003
Wu KC, Ting CJ (2016) A constructive heuristic for the container relocation problem. Int J Ind Eng 23(3):195–206
Xiao R, Liu S, Wu L, Luo M, Ma J, Li J (2023) Regional classification and competitiveness of port cluster: a case study of China’s coastal ports. Int J Logist Res Appl 1–18. https://doi.org/10.1080/13675567.2023.2189693
Zangwa AI (2018) A total factor productivity analysis of a container terminal. Durban. https://commons.wmu.se/cgi/viewcontent.cgi?article=1636&context=all_dissertations
Zaoudi A, Aayale J, Anajar A, Mabrouk Y (2023) Empirical study on productivity indicators and the impact of the dwell time factor on the capacity of container ports. In: Proceedings of the 2023 6th international conference on computers in management and business, pp 106–111. https://doi.org/10.1145/3584816.3584832
Zhen L, Liang Z, Zhuge D, Lee LH, Chew EP (2017) Daily berth planning in a tidal port with channel flow control. Transport Res B: Meth 106:193–217. https://doi.org/10.1016/j.trb.2017.10.008
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Mazibuko, D.F., Mutombo, K. & Kuroshi, L. An evaluation of the relationship between ship turnaround time and key port performance indicators: a case study of a Southern African port. WMU J Marit Affairs (2024). https://doi.org/10.1007/s13437-024-00330-z
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DOI: https://doi.org/10.1007/s13437-024-00330-z