Thesis (MCom)--Stellenbosch University, 2014. / ENGLISH ABSTRACT: The South African fresh fruit export industry is concerned about fruit and financial losses due to temperature breaks within the fresh fruit export cold chain. The Port of Cape Town plays a crucial role in the export process as the majority of fruit reefer containers that are exported through Cape Town are handled by the Cape Town Container Terminal. This study focuses on the container terminal leg of the fresh fruit export process. Observations made in the Cape Town Container Terminal, at shipping lines and exporting companies show that certain procedures are not always followed in the Cape Town Container Terminal and that congestion and ineffective working methods are causing breaks within the fresh fruit export cold chain. Temperature and time data received from Transnet Port Terminals, shipping lines and exporting companies were analysed for the container terminal segment of the export process. From the data analysis it is clear that there are a large number of breaks originating within the container terminal and that the port is not operating efficiently. The study identifies areas of improvement and makes recommendations on improving some of the issues discussed.

Computer based simulation models have often been used to study the multimodal freight transportation system. But these studies have not been able to dynamically couple the various modes into one model; therefore, they are limited in their ability to inform on dynamic system level interactions. This research thesis is motivated by the need to dynamically couple the multimodal freight transportation system to operate at multiple spatial and temporal scales. It is part of a larger research program to develop a systems modeling framework applicable to freight transportation. This larger research program attempts to dynamically couple railroad, seaport, and highway freight transportation models. The focus of this thesis is the development of the coupled railroad and seaport models. A separate volume (Wall 2010) on the development of the highway model has been completed. The model railroad and seaport was developed using Arena® simulation software and it comprises of the Ports of Savannah, GA, Charleston, NC, Jacksonville, FL, their adjacent CSX rail terminal, and connecting CSX railroads in the southeastern U.S. However, only the simulation outputs for the Port of Savannah are discussed in this paper. It should be mentioned that the modeled port layout is only conceptual; therefore, any inferences drawn from the model's outputs do not represent actual port performance. The model was run for 26 continuous simulation days, generating 141 containership calls, 147 highway truck deliveries of containers, 900 trains, and a throughput of 28,738 containers at the Port of Savannah, GA. An analysis of each train's trajectory from origin to destination shows that trains spend between 24 - 67 percent of their travel time idle on the tracks waiting for permission to move. Train parking demand analysis on the adjacent shunting area at the multimodal terminal seems to indicate that there aren't enough containers coming from the port because the demand is due to only trains waiting to load. The simulation also shows that on average it takes containerships calling at the Port of Savannah about 3.2 days to find an available dock to berth and unload containers. The observed mean turnaround time for containerships was 4.5 days. This experiment also shows that container residence time within the port and adjacent multimodal rail terminal varies widely. Residence times within the port range from about 0.2 hours to 9 hours with a mean of 1 hour. The average residence time inside the rail terminal is about 20 minutes but observations varied from as little as 2 minutes to a high of 2.5 hours. In addition, about 85 percent of container residence time in the port is spent idle. This research thesis demonstrates that it is possible to dynamically couple the different sub-models of the multimodal freight transportation system. However, there are challenges that need to be addressed by future research. The principal challenge is the development of a more efficient train movement algorithm that can incorporate the actual Direct Traffic Control (DTC) and / or Automatic Block Signal (ABS) track segmentation. Such an algorithm would likely improve the capacity estimates of the railroad network. In addition, future research should seek to reduce the high computational cost imposed by a discrete process modeling methodology and the adoption of single container resolution level for terminal operations. A methodology combining both discrete and continuous process modeling as proposed in this study could lessen computational costs and lower computer system requirements at a cost of some of the feedback capabilities of the model This tradeoff must be carefully examined.

PhD (Business Management) / Department of Business Management / Contemporary cloud-based computing is crucial for the efficient delivery of ICT systems to users, as well as for versatile disaster recovery and business continuity management (BCM) platforms. Based on the need for efficient and fault-tolerant port operations, this study proposes a cloud-based business continuity framework (BCM) for the container terminal operations (CTO) in South Africa. The study examined the impact of ICT systems and services on Container Terminal Operations (CTO); determined Critical Business Functions in operations that must stay operational and analysed the impact of the unavailability of ICT systems and services on critical operations. This empirical study employed both quantitative and qualitative research designs and collecting data through self-constructed and self-administered questionnaires and interviews. Quantitative data was analysed using the IBM Statistical Package of Social Science (SPSS) Version 23 while qualitative data was analysed through thematic analysis of interviews. Results show that to realize effective organizational resilience using BCM, three insights, as underlying mechanisms for assimilating cloud computing in BCM can be inferred: the first is that a digitalized BCM architecture ‘fits’ the cloud computing model. The specific BCM characteristics that befits cloud computing are continuous data processing; continuous data access and delivery; multi-platform data access; always – on ICT Services; and better decision making. Secondly, the cloud computing model is a ‘viable’ model that can contribute to managing complex organizations characterized by business units that are highly differentiated in terms of size, structure, ICT and investment levels. For such complex organizations, viability is visible in terms of how the multi-units can harness collective intelligence (CI) for more effective BCM. Collective intelligence, as a form of universally distributed intelligence that is constantly enhanced, coordinated in real time, and which results in effective mobilization of organizational competence, is a core organizing metaphor for achieving BCM in a complex organization. Lastly, to realize BCM, underpinned by greater digitalization of BCM and harnessing of CI; there is need for rethinking strategy towards adoption of an ‘Intelliport strategy’ or ‘smart’ BCM for ports, currently intertwined with the notion of the 4IR. That the ‘smart’ nature of BCM require the assimilation of 4IR technologies that enable ubiquitous presence and real time information regarding organizational processes. Adopting an ‘Intelliport strategy’ is likely to have two main implications for BCM and practice: the first is linked to the development of a circular economy, in which aggregation of BCM activities can enhance sustainable development of the seaports; and secondly, adoption of a cloud computing model that can result in the enhancement of business growth of the units promote collaborative problem solving and decision making in BCM. / NRF