Thesis (M.A.)--Ohio University, June, 2009. / Title from PDF t.p. Includes bibliographical references.

Thesis (M.Phil.)--University of Hong Kong, 2001. / Includes bibliographical references (leaves 176-183) Also available in print.

Thesis (Ph. D.)--University of Michigan, 1995. / Includes bibliographical references (leaves 145-154).

Zugl.: Leipzig, Univ., Diss., 2008 / Includes bibliographical references.

Thesis (M. Sc.)--University of Alberta, 2010. / Title from pdf file main screen (viewed on June 22, 2010). A thesis submitted to the Faculty of Graduate Studies and Research in partial fulfillment of the requirements for the degree of Master of Science in Construction Engineering and Management, Department of Civil and Environmental Engineering, University of Alberta. Includes bibliographical references.

Thesis (M.S.)--Rochester Institute of Technology, 2006. / Typescript. Includes bibliographical references (leaves 79-81).

Thesis (Ph. D.)--University of Hong Kong, 2006. / Also available online.

M.Com. (Business Management) / More than fifteen years have gone by since the fall of the apartheid regime in South Africa (SA) in 1994. From 1994, it became critical for every institution of the government to work towards the transformation of the public sector. The ultimate aim of this transformation has been to bring about a better life for all. However, the pace at which improvement in the general life of people from the historically disadvantaged communities is moving slowly. The best weapon that can be employed to ensure that life is improved is through the provision of quality education. There is a serious need for an improvement in the educational system of our country which is counted among the lowest in the world in terms of literacy and mathematics. This situation is continuing to prevail despite the fact that South Africa has some of the best infrastructure in the world. The researcher has undertaken this study with the assumption that the Supply Chain Management (SCM) plays a critical role in the improvement of service delivery and cost reduction as well as inventory reduction. Initially, the SCM was applied in the private sector only where the focus is on profitability. However, for the past few years, the SCM has been overlapping into the public sector. The SA government is amongst the first to adopt SCM as a tool to improve service delivery and to reduce costs. The focus of the SCM in the SA public sector is efficiency, effectiveness and the economic use of resources in the context of development and equity. There are many potential benefits that can be gained in the public sector when SCM is implemented effectively. These benefits include improved service delivery, inventory reduction and cost reduction. The Department of Basic Education (DoBE) is investing heavily towards the improvement of the standard of education in the country. Despite this, there are still learners who attend schools without all the necessary textbooks, the basic source of information for learning. The shortage of books prevails even in Limpopo Province which is one of the poorest provinces in SA. As a poor province, learners in Limpopo do not have easy access to other sources of information such as the internet and only very few schools in Limpopo Province have libraries. These learners rely on the textbooks to get information and therefore the failure to provide adequate textbooks to these learners leaves them with nothing to depend on for their studies. Consequently, their performance at schools is affected to the point that they may fail at the end of the school year.

This thesis is concerned with measuring and explaining the productive efficiency of firms or organizations. In particular, the study compares three alternative methods of measuring efficiency, namely, the deterministic frontier method, the stochastic frontier method, and the data envelopment analysis method (DEA). The dissertation consists of two parts. In Part I, the relative merits of the three methods are discussed and evaluated through a Monte Carlo study under certain known conditions. The study focuses on the effects of exogenous variables on efficiency estimates. The results show that the stochastic frontier method generally produces better efficiency estimates than the other two methods. The DEA, however, has a slight advantage in cases where there are weak input substitution and large variations in input variables. In Part II, the three methods are examined empirically through their applications to a panel of 19 railways in OECD countries and a panel of 36 international airlines. Comparison of the three sets of efficiency estimates confirms that on average the stochastic frontier method yields higher efficiency estimates than the other two methods, as indicated by the Monte Carlo results. The efficiency estimates by the two parametric methods are highly correlated, whereas there are considerable differences between the DEA estimates and those from the parametric methods. This is also consistent with the Monte Carlo results. By comparing the alternative efficiency estimates in the two applications, it is found that there is less discrepancy among the three sets of efficiency estimates in the airline case than in the railway case. This can be partly attributed to the fact that there are fewer variations in the operating environments in the airline case than in the railway case. The simulation results in Part I provide some general guidelines regarding the relative merits of the three alternative methods under certain known conditions. The two applications of the three methods in Part II serve as examples of how these three methods can be applied to practical problems where no a priori knowledge of either the production technology nor the efficiency profile exists. They illustrate some of the problems that may be encountered in empirical applications. / Business, Sauder School of / Graduate

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