Thesis (M. App. Sc.)--Carleton University, 2003. / Includes bibliographical references (p. 182-187). Also available in electronic format on the Internet.

Thesis (MA)--University of Montana, 2010. / Contents viewed on April 7, 2010. Title from author supplied metadata. Includes bibliographical references.

Thesis (Ph. D.)--University of California, San Diego, 2000. / Vita. Includes bibliographical references.

Thesis (Ph. D.)--Pennsylvania State University, 1994. / Vita. Includes bibliographical references (leaves 150-155).

LL.M. (International Law) / Mining is an activity which contributes greatly and positively to a country’s economic development by creating job opportunities, development of roads, health care centres and educational facilities. However, mining in certain instances can also have a long lasting negative environmental and social impact on communities. The focus of this dissertation will be to address those instances where mining has a negative social impact on the communities where such mining projects are taking place. The negative social impact of mining in certain cases is regarded as a universal phenomenon. Citizens of many countries where mining activities take place i.e. “mining counties” especially in the under-developed, developing and countries with economies in transition, such as Ghana, Mali, South Africa and Tanzania in an African Continent are confronted with an array of negative consequences associated with the negative social impact of mining activities. However this does not mean that other continents are immune from this. Asian countries such as Paupau New Guinea, India, and China are also faced with the negative social impact of mining.

A thesis submitted to the Faculty of Engineering and the Built Environment, University of the Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Doctor of Philosophy. Johannesburg, 2017 / Mineral resources can act as key for economic growth and have the potential to transform economies and societies. The extent to which such transformation takes place varies depending upon the method of their use. Pakistan is gifted with significant mineral resources that have the potential to lift its economy and bring prosperity to its citizens. For this to happen, Pakistan must formulate a mineral policy based on leading practices to attract mining investment and increase the sector contribution to GDP in the range of 3 – 5%. The fundamental objective of this research is to investigate the process of mineral policy development of Pakistan against leading developing minerals-based economies and to formulate a strategic fit mineral policy framework, keeping in mind its fragile political, socio-economic and security environment. Developing countries with mineral wealth must try to gain maximum benefit from their mineral resources. These are national assets and should be managed responsibly and not used unwisely. For the gap analysis between Pakistan‘s current mineral policy framework and leading developing countries, five criteria were formulated. Two basic principles were kept in mind with the choice of countries; first, a developing country like Pakistan should be selected; and second, at least two countries should be Islamic. Eight developing courtiers, Chile, Mexico, Brazil, Peru, India, South Africa, Kazakhstan and Turkey were selected for analysis. The key elements for the mineral sector of Pakistan are; Pakistan‘s mineral sector is lacking an enabling institutional framework for efficient access to mineral resources; it lacks an enabling fiscal and regulatory framework for mining to enhance the economic attractiveness of the sector; and the absence of a mining Cadastre System to secure mineral rights prevents security of tenure. Six stakeholders, Government and its implementation bodies; Mining industry; Local communities and their representatives; Law enforcing agencies (LEA's); Religious Monarchs; and Financial institutions were identified and their role defined in policy development framework. A new mineral Policy Framework was formulated based on seven key enablers, namely; institutional framework; stable political economy; legal framework; regulatory framework; fiscal framework; stakeholder participation; and sustainable development. A new organisational structure of the Ministry is proposed based on the generally accepted organisational structure of tiers, implementation and regulatory bodies. An implementation plan based on three building blocks was developed for implementation of the new Mineral Policy Framework. Implementation of an enabling Institutional framework and other key elements of mineral policy framework were suggested to be implemented through the constitution of a Mineral Development Advisory Committee (MDAC). A PakMining Cadastre system was suggested to be constituted under the new Ministry for secure minerals rights system. System design and the geometrical architecture of the PakMining Cadastre System were also suggested. / MT 2017

A dissertation submitted to the Faculty of Engineering and the Built Environment, University of the Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Master of Science in Engineering. Johannesburg, 2016 / There are discrepancies between deterministic mine planning and the actual mining process due to geological uncertainties associated with mineral deposits and inherent production system variabilities. The misalignment between the planning process and the actual mine production process often leads to non-achievement of production outcomes. Stochastic mine planning has been developed to minimise these misalignments but it is computationally intense and requires constraint functions to operate effectively. However, the stochastic mine planning approaches in literature do not have an embedded process analysing the interactions between the Key Performance Indicators (KPIs) and the mine production activities. This dissertation proposes an approach to study the interactions/correlations between KPIs used to measure the progress of a mining operation and the mining activities. The Multinomial Logistic Regression (MLR) approach is a non-linear and non-normal measurement method which can assist in understanding the behaviour of mine production activities when compared to assessed KPIs. The MLR model can also assist in establishing which production activities require maximisation or minimisation in attaining the desired KPIs. This study shows that 71% of the KPIs for a case study in mining production system are influenced by the movements of the production activities in the mining process and the level of uncertainty on the forecasted KPIs is reduced through applying the MLR model. This method will help mining companies in assessing in the initial stages of mine planning the mine production activities that management should focus on to achieve desired KPIs by directing more effort and resources to these statistically significant activities. / MT2017

The problem of model choice in multiobjective decision making, that is, the selection of the appropriate multiobjective solution technique to solve an arbitrary multiobjective decision problem, is considered. Classifications of the available techniques are discussed, leading to the development of a set of 27 model choice criteria and an algorithm for model choice. This algorithm divides the criteria into four groups, oily one of which must be reevaluated for each decision problem encountered. Through the evaluation of the available multiobjective techniques with respect to each of the model choice criteria, the model choice problem is modeled as a multiobjective decision problem. Compromise programming is then used to select the appropriate technique for implementation. Two case studies are presented to demonstrate the use of this algorithm. The first is a river basin planning problem where a predefined set of alternatives is to be ranked with respect to a set of criteria, some of which cannot be quantified. The second is a coal blending problem modeled as a mathematical programming problem with two linear objective functions and a set of linear constraints. An appropriate multiobjective solution technique is selected for each of these case studies. In addition, an approach for the solution of dynamic multiobjective problems, one area where solution techniques are not available, is presented. This approach, known as dynamic compromise programming, essentially transforms a multiobjective dynamic programming problem into a classical dynamic programming problem of higher dimension. A dynamic programming problem, modeled in terms of three objectives, is used to demonstrate an application of this technique.

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