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.

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

Orientation: The level of CEO compensation and its relationship with organisational performance has generated considerable interest worldwide. In light of compromised mining productivity as a result of the recent labour unrest in South African, some commentators have questioned the justification of certain CEO compensation in the country’s mining industry. Research purpose: The primary purpose of this study was to describe the relationship between CEO compensation and organisation performance in the South African mining industry. Motivation for the study: A deeper understanding of the relationship would enhance knowledge when developing optimal CEO reward systems to ensure sustainability of the mining industry within the South African context. Research design, approach and method: The research was a quantitative, archival study involving 30 mining companies over a five year period. The statistical analysis techniques used in the study included analysis of normality variance and multivariate regression. Main findings/results: The main finding of the research was that there was a moderate to strong relationship between CEO compensation and organisational performance in the South African mining industry. However, operating expenses have progressively increased, putting performance under pressure. Furthermore, it was also found that company size plays an influential role in CEO compensation levels. Practical/managerial implications: While the CEO compensation appears to be generally aligned with the organisational performance, the findings suggest that boards of directors should focus on structuring reward systems more optimally to mitigate managerial rent seeking in large companies and unsustainability in smaller companies. Contribution/value-add: This study has contributed to the body of existing knowledge on executive pay for performance in the context of the South African mining industry. In addition, the study has demonstrated that the other non-performance related measures need to be considered in executive compensation design. / Dissertation (MBA)--University of Pretoria, 2014. / lmgibs2015 / Gordon Institute of Business Science (GIBS) / MBA / Unrestricted

Thesis (MBA.) --University of Limpopo, 2019 / The mining industry plays a positive strategic role in the South African economy. However, this industry is plagued by many socio-economic challenges. It continues to face an uncertain future due to, amongst other factors, the escalating overhead mining costs, labour protests and community unrests. Among these challenges, dissatisfied and disgruntled mining communities remain the most unmitigated threat to the sustainability of mining worldwide. Mining companies continue to be under immense pressure to effectively address the socio-economic needs of communities affected by their operations. The increased levels of poverty and unemployment have resulted in the relationship between host communities and mining companies being increasingly strained. Their relationship is characterised by deep resentment, suspicion and mistrust. The tension stems from the fact that despite mining companies being present and operating in their areas, host communities are not benefiting meaningfully from the mining activities. The study seeks to examine host communities’ perceptions about mining companies operating within Govan Mbeki Local Municipality, Mpumalanga Province. The study employed the qualitative research method and endeavoured to obtain first hand evidence or lived experiences narrated by host communities. The researcher used purposive sampling to choose the respondents who were deemed to possess intimate knowledge and the history of the state of relations between host communities and mining companies operating within Govan Mbeki municipal area. This paper reports the findings of a study undertaken to assess the socioeconomic impact of mining activities and the communities’ perceptions on these activities within Govan Mbeki Local Municipality, Mpumalanga Province. Mining companies are perceived as the main contributors to social, environmental, health and infrastructure destruction. In addition to sampling community perceptions on mining activities, the study prescribes interventions that can assist in mitigating the negative perceptions of mining companies

A research report submitted to the Faculty of Science, University of Witwatersrand, Johannesburg in partial fulfilment of the requirements for the degree of Master of Science (Environmental Science). Johannesburg, 2017. / South Africa’s SDFIs have potential to play a critical role in fostering environmental compliance in the mining industry. Their role is particularly important in the small-scale and junior mining sector which is usually shunned by private finance institutions because of high environmental credit risk. Equipped with knowledge and experience of working with clients across different sectors and their potential leadership role in technology transfer, SDFIs can leverage their position in acting as trusted third party environmental regulation enforcers. Financial institutions have long been criticised for showing little interest in environmental impacts of their clients while concentrating on profit maximisation. This study sought to investigate the response by financial institutions to this criticism through evaluating the role of SDFIs in fostering environmental compliance by small-scale and junior mining companies which are generally viewed as having a poor environmental compliance record. Through the twin qualitative research methods of interviews and document analysis, the role of three state-owned development finance institutions in fostering environmental regulation compliance by small-scale mining enterprises in South Africa was evaluated. The study revealed that SDFIs explicitly and implicitly provide a wide range of products and services which help small-scale and junior miners in complying with environmental regulations. The study also found that, while SDFIs are beginning to adopt market-based mechanisms to encourage environmental compliance, they still heavily rely on command and control mechanisms as a way of mitigating environmentally related risks arising from financing mining companies. / LG2018

Thesis (MBA.) -- University of Limpopo, 2019 / The mining industry plays a positive strategic role in the South African economy. However, this industry is plagued by many socio-economic challenges. It continues to face an uncertain future due to, amongst other factors, the escalating overhead mining costs, labour protests and community unrests. Among these challenges, dissatisfied and disgruntled mining communities remain the most unmitigated threat to the sustainability of mining worldwide. Mining companies continue to be under immense pressure to effectively address the socio-economic needs of communities affected by their operations. The increased levels of poverty and unemployment have resulted in the relationship between host communities and mining companies being increasingly strained. Their relationship is characterised by deep resentment, suspicion and mistrust. The tension stems from the fact that despite mining companies being present and operating in their areas, host communities are not benefiting meaningfully from the mining activities. The study seeks to examine host communities’ perceptions about mining companies operating within Govan Mbeki Local Municipality, Mpumalanga Province. The study employed the qualitative research method and endeavoured to obtain first hand evidence or lived experiences narrated by host communities. The researcher used purposive sampling to choose the respondents who were deemed to possess intimate knowledge and the history of the state of relations between host communities and mining companies operating within Govan Mbeki municipal area. This paper reports the findings of a study undertaken to assess the socioeconomic impact of mining activities and the communities’ perceptions on these activities within Govan Mbeki Local Municipality, Mpumalanga Province. Mining companies are perceived as the main contributors to social, environmental, health and infrastructure destruction. In addition to sampling community perceptions on mining activities, the study prescribes interventions that can assist in mitigating the negative perceptions of mining companies

Industrial and Organisational Psychology / M. Com. (Industrial and Organisational Psychology )

Industrial and Organisational Psychology / M. Com. (Industrial and Organisational Psychology )

A mini-dissertation submitted in partial fulfilment of the requirements for the degree of Masters of Management (in Public & Development Management) at the University of the Witwatersrand, Johannesburg / The research examines the relationship between mineral extraction and sustainable economic development of local mining communities. The research will focus specifically on Marikana within the Rustenburg Local Municipality. The research investigates the efficacy and implementation of the regulation and legislative framework relevant for the transformation of the mining industry as well as the sustainability of the local economic development. In terms of the MPRDA, mining companies are obligated to submit a social and labour plan (SLP) when applying for mining rights. The main purpose of the SLP as per the guidelines, regulation 46, is to ensure the improvement of infrastructure, poverty alleviation and community development of the host community and in the situation from which most of the labour is sourced and being addressed. The Act further prescribes that the SLP should be aligned to the municipality‟s integrated development plans (IDP). Sec 100 of the MPRDA further prescribes the development of the mining industry charter. The charter, aims at addressing the integrated sustainable LED of the host communities, the facilitation of meaningful participation of HDSA in the mining and mineral industry. This research adopts an interpretative social science approach. The design that the research took is a qualitative approach. Primary data was collected through semi-structured interviews conducted with eight interviewees. Participants consisted of two companies (mining house, Research Company), four policy experts from local and national government, two community representatives from the ward committee and the business forum. Secondary data is from the journals, academic writings, SLP and the IDP of the municipality. The results show there are challenges with compliance with SLP and the Charter prescripts from the mining houses, also there is a debate about mining houses‟ commitment in implementing sustainable LED as there is a view that they are only focused on small, economically unsustainable projects and that they reserve mega ii projects for white established businesses to the exclusion of black start-up companies. The view that the regulator is encouraging lack of accountability of the mining houses because of lack of applying punitive measures against non-performance is also gaining traction. The issue of lack of capacity of the regulator to monitor local projects was highlighted as a contributor to mining houses‟ noncompliance. Inadequate stakeholder engagement, lack of alignment of the SLP, IDP and the priorities of the community creates a challenge due to lack of buy in and ownership of LED projects implemented. The research found that there is a need to improve alignment of the IDP, SLP and the community's priorities, improve stakeholder engagement process and also to enforce the prescripts of the Act where there is lack of adherence. KEY WORDS: Local economic development, Social and labour plans, Integrated development plans / GR2018