Masters Degrees (Logistics)
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Browsing Masters Degrees (Logistics) by browse.metadata.advisor "Havenga, Jan Hendrik"
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- ItemRisk profile of port congestion : Cape Town container terminal case study(Stellenbosch : Stellenbosch University, 2016-03) Potgieter, Lilian; Goedhals-Gerber, Leila Louise; Havenga, Jan Hendrik; Stellenbosch University. Faculty of Economic and Management Sciences. Dept. of Logistics. Logistics.ENGLISH SUMMARY : Supply chains, both complex and simple, are often exposed to various levels of risk stemming from different sources. These risks, whether minor or critical, require a certain level of management to mitigate and control frequency and overall impact. The South African maritime industry suffers from a number of risks, with the most prominent source of risk stemming from vessel and vehicle congestion within port terminals. In most cases, this is due to a lack of port capacity, lack of operator productivity, severe weather conditions and/or system-related challenges. In South Africa, one of the most important ports – the Port of Cape Town – faces two risks associated with port congestion, namely, severe weather and system delays. These two risks place pressure on port management and can cause inefficiencies in both port operations and the operations of international shipping companies. This study focuses on developing risk profiles of current and future port congestion within the Cape Town Container Terminal, with the primary objective being to highlight the importance of managing weather- and system-related port congestion within the container terminal. The secondary objective of the study is to suggest areas for future research on port congestion in other South African ports. Overall, the purpose of this study is to offer some insight into port congestion as a risk to efficiency for the benefit of both South African ports and international shipping companies. The research conducted for this study was done in two phases, namely, exploratory secondary research followed by self-conducted primary research. The secondary literature research provided background information on the maritime industry, the Port of Cape Town, and port congestion in the World and in South Africa specifically. In addition, the primary data collected was used to analyse current port congestion within the container terminal, create forecasts of future congestion, and finally develop risk profiles of port congestion within the Cape Town Container Terminal specifically. The findings of this study indicate that vessel related congestion, specifically anchorage congestion, is the main risk within the Cape Town Container Terminal, while landside port congestion is likely to become a less severe risk over time. This is, however, likely to be influenced by truck queuing time and the 2015 truck ban, which were not included in this study. The findings of this study indicate that maritime-side risk is of greater concern, and that risk mitigation strategies should be considered in the present and the future. In conclusion, it is recommended that further research be conducted on the cost implications of port congestion, to determine the need for long-term financial investments, and on the impact of vehicle queuing and the proposed truck ban. Furthermore, it is suggested that a similar study be conducted on port congestion within the Durban Port container terminal, as research indicates that this terminal is also prone to port congestion issues.