Thesis (MPA) --University of Limpopo, 2010 / The purpose of the research was to assess the role of Ba-Phalaborwa Local Municipality in addressing socio-economic mining challenges in Phalaborwa community of Limpopo Province. Semi – structured interviews were used for the officials of Ba-Phalaborwa Local Municipality, officials of Phalaborwa Mining Company, Foskor mine, Sasol Nitro, Department of Health and Social Department and Community members to collect data. Not much research has been conducted in this field especially in the Limpopo Province. From the literature review, it was detected that historically, South Africa has been primarily dependent on mineral and energy production and export. Mining sector is considered as the starting point for socio-economic development and beneficiation of the local communities in every country. South Africa is still a developing country with high rate of illiteracy, poverty and unemployment. This situation was also worsened by the policy of segregation during the past government with no opportunities for black people in the decision making house. Therefore the establishment of the three spheres of government by the constitution of the Republic of South Africa exposed the local sphere with new challenges of governance, especially in administration and management of the mines. It is evident that natural resources are the most important international commodities and thus play a major role in the socio-economic development of the communities. The study also aimed to assess the challenges and problems the local municipality faces in administration and management of the impact of the mines towards local communities. The effect of mining closures and employee retrenchment has an administrative effect on the local authority towards service delivery and social development.Thus, an interview was conducted with various interviewees to attain the goals of the study. The main patterns that resurface from the data collected exposes lack of monitoring and evaluation on projects by the municipality and the mines. iii Inefficiency and ineffectiveness of local government is compromised. Projects are agreed upon during stakeholders’ forum but implementation is difficult to attain. It would be advisable for the government, especially municipalities to take a lead in all socio-economic responsibilities of the community in conjunction with other key partners.

South Africa's re-integration into the global economy and the international political arena has brought about an active growth of business locally and internationally. Local companies are expanding into new markets and regions which require them to follow internationally acceptable and approved waste disposal policies in their production of goods and services. To achieve compliance, it is necessary that companies have the appropriate support and backup from waste disposal companies. Also, increasing pressure from environmental groups and government agencies makes it a prerequisite that a company's waste is properly disposed of in the most efficient, lawful and economical way. This research dissertation is aimed at identifying the key factors that impact on the levels of service in the waste industry and an attempt at evaluating the effects of the service levels to determine what actions are necessary to improve the levels of service in the waste industry. As a result, this research was carried out amongst producers of waste in certain areas of KwaZulu-Natal. Various techniques were evaluated in researching how to measure service quality. The most reliable measuring instrument to gauge service quality was found to be the SERVQUAL system. This measuring instrument was evaluated and then modified to suit the particular needs of the waste industry. The SERVQUAL system is a multi-item scale for measuring consumers perceptions of service quality. A sample of 75 companies was selected and senior management was interviewed. Based on the statistical analysis, the discrepancy between service expectations and service delivery in the waste industry is wide. Urgent attention needs to be focused on service delivery, especially reliability, assurance and responsiveness by waste disposal companies. / Thesis (MBA)-University of Natal, Durban, 2003.

Globalisation is occurring at a fast and accelerating rate. Over the past decade foreign direct investment has grown three times faster than world trade and four times faster than world output. Over the past quarter century the number of countries operating without exchange controls affecting the import of goods and services has increased more than five fold. These developments have led many organizations to assume that the historical cultural differences which existed between the territories in which they operate are less marked, and less important than they once were. As the markets for their goods and services becomes increasingly global, so too do the needs and aspirations of the employees who produce and deliver these goods and services. Companies increasingly structure themselves around global business units rather than national organizations, and seek to enhance employee commitment to and identification with the goals and objectives of transnational units rather than the traditions and bonds of bounded country fiefdoms. Technological innovation, new product markets and a diverse workforce have increased the need for companies to re-examine how their training practices contribute to learning. The need for globalisation emanates from the quest of organisations for larger market share, low cost production and sourcing of skilled workforce. Ethical consideration and work practices must result in the greatest good for the largest number of people. Employment practices must therefore respect the basic human rights of privacy, due process, consent and free speech. Finally managers must treat employees and customers equitably and fairly. / Thesis (MBA)-University of KwaZulu-Natal, 2005.

Thesis (MScEng)--University of Stellenbosch, 2002. / ENGLISH ABSTRACT: Metallurgical processes are often high dimensional and non-linear making them difficult to understand, model and control. Whereas the human eye has extensively been used in discerning temporal patterns in historical process data from these processes, the systematic study of such data has only recently come to the forefront. This resulted predominantly from the inadequacy of previously used linear techniques and the computational power required when analysing the non-linear dynamics underlying these systems. Furthermore, owing to the recent progress made with regard to the identification of non-linear systems and the increased availability of computational power, the application of non-linear modelling techniques for the development of neural network models to be used in advanced control systems has become a potential alternative to operator experience. The objective of this study was the development ofa non-linear, dynamic model of an autogenous mill for use in an advanced control system. This was accomplished through system identification, modelling and prediction, and application to control. For system identification, the attractor was reconstructed based on Taken's theorem making use of both the Method Of Delays and singular spectrum analysis. Modelling consisted of the development of multi-layer perceptron neural network, radial basis function neural network, and support vector machine models for the prediction of the power drawn by an autogenous mill. The best model was subsequently selected and validated through its application to control. This was accomplished by means of developing a neurocontroller, which was tested under simulation. Initial inspection of the process data to be modelled indicated that it contained a considerable amount noise. However, using the method of surrogate data, it was found that the time series representing the power drawn by the autogenous mill clearly exhibited deterministic character, making it suitable for predictive modelling. It was subsequently found that, when using the data for attractor reconstruction, a connection existed between the embedding strategy used, the quality of the reconstructed attractor, and the quality of the resulting model. Owing to the high degree of noise in the data it was found that the singular spectrum analysis embeddings resulted in better quality reconstructed attractors that covered a larger part of the state space when compared to the method of delays embeddings; the data embedded using singular spectrum analysis also resulting in the development of better quality models. From a modelling perspective it was found that the multi-layer perceptron neural network models generally performed the best; a multi-layer perceptron neural network model having an appropriately embedded multi-dimensional input space outperforming all the other developed models with regard to free-run prediction success. However, none of the non-linear models performed significantly better than the ARX model with regard to one-step prediction results (based on the R2 statistic); the one-step predictions having a prediction interval of 30 seconds. In general the best model was a multi-layer perceptron neural network model having an input space consisting of the FAG mill power (XI), the FAG mill load (X2), the FAG mill coarse ore feed rate (X3), the FAG mill fine ore feed rate (X4), the FAG mill inlet water flow rate (X7) and the FAG mill discharge flow rates (X9, XIO). Since the accuracy of any neural network model is highly dependent on its training data, a process model diagnostic system was developed to accompany the process model. Linear principal component analysis was used for this purposes and the resulting diagnostic system was successfully used for data validation. One of the models developed during this research was also successfully used for the development of a neurocontroller, proving its possible use in an advanced control system. / AFRIKAANSE OPSOMMING: Metallurgiese prosesse is gewoonlik hoogs dimensioneel en nie-lineêr, wat dit moeilik maak om te verstaan, modelleer, en te beheer. Alhoewel die menslike oog alreeds wyd gebruik word om temporale patrone in historiese proses data te onderskei, het die sistematiese studie van hierdie tipe data eers onlangs na vore gekom. Dit is hoofsaaklik na aanleiding van die onvoldoende resultate wat verkry is deur van voorafgaande lineêre tegnieke gebruik te maak, asook die beperkende berekenings vermoë wat beskikbaar was vir analise van onderliggend nie-lineêre dinamiese stelsels. 'n Verder bydraende faktor is die onlangse vordering wat gemaak is met betrekking tot die identifikasie van nie-lineêre stelsels en die toename in beskikbaarheid van rekenaar-vermoë. Die toepassing van nie-lineêre modellerings tegnieke vir die ontwikkeling van neurale netwerke om gebruik te word in gevorderde beheerstelsels, het 'n potensiële alternatief geword tot operateur ondervinding. Die doelwit van hierdie studie was die ontwikkeling van 'n gevorderde beheerstelsel vir 'n outogene meul gebaseer op 'n nie-lineêre, dinamiese model. Dit is bereik deur middel van stelsel-identifikasie, modellering en voorspelling, en laastens implementering van die beheerstelsel. Vir stelsel-identifikasie is die attraktor van die stelsel bepaal soos gebaseer op Taken se teorema deur gebruik te maak van beide die metode van vertraging en enkelvoudige spektrum analise. Modellering van die stelsel vir die voorspelling van krag-verbruik deur die outogene meul het bestaan uit die ontwikkeling van multilaag-perseptron-neurale netwerke, radiaalbasisfunksie-neurale netwerke, en steunvektor-masjien-modelle. Die beste model is daarna gekies vir validasie deur middel van toepassing vir beheer. Dit is bereik deur 'n neurobeheerder te ontwikkel en te toets deur middel van simulasie. Die aanvanklike inspeksie van proses data wat gebruik sou word vir modellering het egter getoon dat die data 'n aansienlike hoeveelheid geraas bevat. Nietemin, deur die gebruik van 'n surrogaat-data-metode, is dit bevind dat die tyd-reeks wat die krag verbruik van die outogene meul beskryf, duidelik deterministiese karakter toon en dat dit dus wenslik is om 'n nie-lineêre voorspellings-model, soos 'n neurale netwerk te gruik. Gevolglik is gevind dat, wanneer die data vir attraktor hersamestelling gebruik word, 'n verband bestaan tussen die ontvouing-strategie wat gebruik word, die kwaliteit van die gerekonstrueerde attraktor, en die kwaliteit van die daaropvolgende model. As gevolg van die geraas in die data is gevind dat die ontvouing gebaseer op enkelvoudige spektrum analise 'n beter kwaliteit attraktor hersamestelling lewer. So ook is gevind dat 'n groter deel van die toestandruimte gedek word in vergelyking met die metode van vertraging-ontvouing. Deur gebruik te maak van enkelvoudige spektrum-analise, het die dataontvouing ook beter kwaliteit modelle opgelewer. Vanuit 'n modellerings-perspektief is gevind dat die multilaag-perseptron-neurale netwerk-modelle in die algemeen die beste gevaar het. 'n Multilaag-perseptronneurale netwerk met 'n gepaste ontvoude multidimensionele invoer-spasie het die beste gevaar van al die ontwikkelde modelle met betrekking tot vryloopvoorspellings. Geen van die nie-lineêre modelle het egter beduidend (op 'n R2 basis) beter gevaar as die ARX model wanneer daar na die eenstap-voorspellings (oor 'n 30 sekonde interval) gekyk word nie. Die multilaag-perseptron-neurale netwerk met 'n invoer-spasie bestaande uit die meul krag-verbruik (XI), die meullading (X2), die meul growwe-erts voertempo (X3), die meul fyn-erts voertemp ('4), die meul inlaat-water vloeitempo (X7) en die meul uitlaat vloeitempo's (X9, XIO) het in die algemeen die beste gevaar. Aangesien die akkuraatheid van emge neurale netwerk afhanklik is van die data waarmee dit aanvanklik opgestel is, is 'n diagnostiese proses modelontwikkel om die proses-model te vergesel. Lineêre hoofkomponent analise is vir hierdie doel aangewend en die gevolglike diagnostiese stelsel is suksesvol aangewend vir datavalidasie. Een van die modelle ontwikkel gedurende hierdie navorsing is ook suksesvol gebruik vir die ontwikkeling van 'n neurobeheerder wat dien as bewys dat die model goed gebruik kan word in 'n gevorderde beheerstelsel.

Thesis (MTech (Business Administration))--Cape Peninsula University of Technology, 2016. / Small-scale mining entrepreneurs are confronted with a variety of challenges during both the start-up and growth phase of their businesses not only in South Africa, but all over the world. Most small-scale mining entrepreneurs are not able to take advantage of the opportunities that are available to them. This retards the growth of their businesses. The aim of this study was to investigate the challenges and prospects for small-scale mining entrepreneurs in South Africa, the support structures available to them as well as the factors that could make them successful. The research problem in this study is that the mining sector is biased towards more established companies and against small-scale mining entrepreneurial operations, which marginalises small-scale mining entrepreneurs. Despite being a significant source of revenue for South Africa, the mining sector does not directly benefit the historically disadvantaged people. Notwithstanding government interventions, small-scale mining entrepreneurs face numerous challenges during both the business start-up and growth phase of their businesses with very few prospects of succeeding. This is a qualitative study that uses a series of face-to-face interviews with mining entrepreneurs in South Africa to generate data. Given that small-scale mining entrepreneurs are in most cases part of the informal sector and difficult to locate, a database of small-scale mining entrepreneurs was obtained from Mintek. Initially, 21 small-scale mining entrepreneurs were randomly selected to participate in this study. However, it soon became apparent that ten of them were no longer in business. This meant that the sample was reduced to eleven mining entrepreneurs, located in four provinces: Free State, KZN, Mpumalanga and Limpopo. The findings of this research reveal that small-scale mining entrepreneurs are handicapped by a lack of financial and technical resources, and therefore cannot purchase capital items. It seems that there are good prospects for small-scale mining, particularly in open markets. However, they are unable to exploit these prospects because they lack the necessary finance. Although there are support structures to assist them, they find it difficult to meet the criteria for loans or overdraft facilities from financial institutions. Although these mining entrepreneurs have benefited from the support they have received thus far, they need equipment and commitment to their businesses to remain successful. A series of recommendations are made to guide small-scale mining entrepreneurs already in business, prospective small-scale mining entrepreneurs and other stakeholder’s interested in transforming the industry. / Zandisile Holdings (Pty) Ltd National Research Foundation Mauerberger Foundation

Please read the abstract in the 00front part of this document / Thesis (DCom (Agricultural Economics))--University of Pretoria, 2007. / Agricultural Economics, Extension and Rural Development / unrestricted

The world agricultural industry, despite numerous supply and demand challenges, has to significantly increase its production capacity to satisfy the increased demand for food and successfully address the issues surrounding food security. Access to credit is however a key enabler in this regard, while a lack of it limits the adaptive capacity of agricultural producers. The financing needs of agricultural producers however vary and are influenced by the different production systems which have different investment, revenue and risk patterns. The sector is unique in that the risk and uncertainty in agriculture are increased by the nature of agricultural production systems, which is in many cases driven by unpredictable external factors such as adverse weather conditions. In addition agricultural production systems also function within the total food system which consists of a number of interrelated subsystems, each presenting agricultural producers with a unique set of risk factors that need to be taken into account. The development of new and innovative financing solutions for the sector therefore requires a thorough understanding of the multidimensional nature of agriculture and the unique characteristics of the sector. The purpose of this study was to contribute to the development of new and innovative financing solutions for the agricultural sector in South Africa.

This dissertation focuses on the local defence-related industry as a beneficiary under the Department of Defence’s defence industrial participation (DIP) programme, managed by Armscor. Attention is given to the main construct of the development theory and how the DIP process in South Africa compares with the international reciprocal trade phenomena commonly referred to as ‘countertrade’. The author does an in-depth analysis of the Government’s policy regarding the defence-related industry (DRI) that forms part of the local defence industrial base (DIB), as well as the DIP policy, procedures and practices and their subsequent bearing on the local defence industry. The study is further substantiated with a comprehensive review of the consequences and outcomes resulting from the largest defence package deal (SDP), signed in December 1999, between the Department of Defence and several major foreign original equipment manufacturers (OEMs) and subsequently benchmarked against academic discourse on the subjects of international countertrade and development theories.

The most basic role of operations is to execute a strategy (Pycraft, Singh, Phihlela, Slack, Chambers & Johnston, 2010). The aim of this study is to make a contribution to operational performance by analysing the effectiveness of strategy execution at a confectionery manufacturing facility situated in the Nelson Mandela Bay (NMB). The primary objective of the study is to improve strategy execution at this manufacturing facility by investigating the influence of strategy; business processes; organisational factors; human resources; macro factors and leadership toward the success of strategy execution. The researcher gave consideration to whether this manufacturing facility measured on a strategy grid, is in a professional (champions’) league, headed towards a spectacular success; or headed towards being relegated and failure; or will it achieve somewhere in between like playing in the amateur (first division). The study was conducted in the quantitative paradigm. Data was collected using a structured questionnaire and sourced instruments were used to measure the variables in the hypothesised model. The objective of the questionnaire was to analyse the respondent’s understanding of how strategy is executed, thereby identifying the possible areas that need to be improved. It was found that most managers disagreed that the business processes, organisational factors and human resources effectively support the execution of the operational strategy and that the average response from the managers were neutral in respect of effectiveness of strategy and leadership. The inference is that although this manufacturing facility has a fair strategy, execution thereof is below average. The researcher therefore deduced that the most appropriate section for the manufacturing facility is between the first division and relegation. The research findings indicate that the management team is not effectively executing the operational strategy. The management implication of this finding translates into lost opportunities. These lost opportunities probably contributed to the poor results reported by the plant director in his quarterly performance review. The empirical results are discussed and recommendations are proposed to improve strategy execution, complementing the manufacturing facility’s goals to deliver the best performance and ultimately realise their stated vision: “to be the best and most loved confectionary site in the world”.

D.Comm. / The mission of the research is to design a South African biotechnology business model that could be widely embraced by various biotechnology enterprises. The business model advises biotechnology enterprises on the applicable strategy to follow and addresses both internal and external factors important to biotechnology enterprises. Contrary to common beliefs, biotechnology has been utilised for thousands of years. The biotechnology markets in the United States, Europe, Canada and Asia/Pacific are increasingly moving operations beyond country borders to achieve business efficiency. A South African biotechnology strategy has been drafted and various organisations have been established to assist with the development of the industry. Aligning the information technology and knowledge management strategy to the overall business and operational strategies is crucial. The model information technology infrastructure will integrate key administrative, clinical and financial data and make it available to all researchers during the life-cycle, but in such a way that the speed-to-market for the new products being developed is much faster. Information technology outsourcing and grid computing have emerged as key solutions to solve shortage of information technology skills and generate vast capacity in the industry. Knowledge management forms the foundation of biotechnology organisations. The biotech culture must foster knowledge transfer and sharing. Employees in return must foster the behaviour created by the culture, and must importantly work in groups such as communities of practice to achieve applicable goals. Technology is the enabler of the knowledge management process and the corresponding architecture must allow the people to follow the culture of a knowledge sharing and transfer culture. The strategic management process of a biotechnology organisation is critical. Collaboration activities in the biotechnology industry have increased substantially over recent years to represent a contemporary management issue that needs to be managed by the strategic management process. Innovative biotechnology organisations will stay ahead by introducing new products prior to their rivals and consolidate a strong market position by adopting corporate and collaborative growth strategies. The aim of the empirical research is to identify the respondents' views on a number of strategic factors crucial to a biotechnology organisation and how it will influence the business model. Externally, market conditions, biotech categories and regulatory conditions influence the market outlook for South African biotech enterprises. Internally, information technology, knowledge management, human resources, enterprise structure, customers, productivity and growth strategies influence the shape of the enterprise. Based on all of these factors, recommendations are made to the industry on the external and internal factors of a business model and on specific areas that require further research.