For many years, supply chain research focused on operational aspects and therefore mainly on the optimisation of parts of the production and distribution processes. Recently, there has been an increasing interest in supply chain management and collaboration between supply chain partners. However, there is no model that takes into consideration all aspects required to adequately represent and measure the performance of a collaborative supply chain. This thesis proposes a model of a collaborative supply chain, consisting of six constituents, all of which are required in order to provide a complete picture of such a collaborative supply chain. In conjunction with that, a collaborative supply chain performance indicator is developed. It is based on three types of measures to allow the adequate measurement of collaborative supply chain performance. The proposed model of a collaborative supply chain and the collaborative supply chain performance indicator are implemented as a computer simulation. This is done in the form of a decision support environment, whose purpose is to show how changes in any of the six constituents affect collaborative supply chain performance. The decision support environment is configured and populated with information and data obtained in a case study. Verification and validation testing in three different scenarios demonstrate that the decision support environment adequately fulfils it purpose.

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The cell is a highly ordered and intricate machine within which a wide variety of chemical processes take place. The full scientific understanding of cellular physiology requires accurate mathematical models that depict the temporal dynamics of these chemical processes. Modelers build mathematical models of chemical processes primarily from systems of differential equations. Although developing new biological ideas is more of an art than a science, constructing a mathematical model from a biological idea is largely mechanical and automatable. This dissertation describes the practices and processes that biological modelers use for modeling and simulation. Computational biologists struggle with existing tools for creating models of complex eukaryotic cells. This dissertation develops new processes for biological modeling that make model creation, verification, validation, and testing less of a struggle. This dissertation introduces computational software that automates parts of the biological modeling process, including model building, transformation, execution, analysis, and evaluation. User and methodological requirements heavily affect the suitability of software for biological modeling. This dissertation examines the modeling software in terms of these requirements. Intelligent, automated model evaluation shows a tremendous potential to enable the rapid, repeatable, and cost-effective development of accurate models. This dissertation presents a case study that indicates that automated model evaluation can reduce the evaluation time for a budding yeast model from several hours to a few seconds, representing a more than 1000-fold improvement. Although constructing an automated model evaluation procedure requires considerable domain expertise and skill in modeling and simulation, applying an existing automated model evaluation procedure does not. With this automated model evaluation procedure, the computer can then search for and potentially discover models superior to those that the biological modelers developed previously. / Ph. D.

The purpose of this study is to collect data on the current practices of coaching as applied in an incubated environment to report on the influence of coaching on entrepreneurial goal-setting behaviour. Previous research has indicated that much criticism has been lobbied at government programmes aimed at providing entrepreneurship development and support, some recognition has been given to some of these government initiatives as well as the progress achieved by some. It is further stated in the Global Entrepreneurship Report (2012) that a number of national experts commend the existence of business support agencies (such as the Small Enterprise Development Agency). A number of significant findings materialized from the current study where it was found that coaching influences entrepreneurial behaviour and that a need exists for more in-depth coaching sessions specifically focused on entrepreneurship in the South African context. Further to this it was found that a need exists for entrepreneurs to be coached by other entrepreneurs and that the role of a coach should be clarified to set realistic expectations from the onset of the intervention. These findings are in agreement with some of the key recommendations from South African national experts as cited in the GEMS 2012 report. The current research adds to the body of research on coaching in general. It also contributes specifically entrepreneurial development programmes in the South African context. The outcome from this research has implications for business coaches, entrepreneurs and entrepreneurial development/support agencies as well as those who provide training and incubation programmes for entrepreneurs. / Industrial & Organisational Psychology / M. Com. (Industrial and Organisational Psychology)

The purpose of this study is to collect data on the current practices of coaching as applied in an incubated environment to report on the influence of coaching on entrepreneurial goal-setting behaviour. Previous research has indicated that much criticism has been lobbied at government programmes aimed at providing entrepreneurship development and support, some recognition has been given to some of these government initiatives as well as the progress achieved by some. It is further stated in the Global Entrepreneurship Report (2012) that a number of national experts commend the existence of business support agencies (such as the Small Enterprise Development Agency). A number of significant findings materialized from the current study where it was found that coaching influences entrepreneurial behaviour and that a need exists for more in-depth coaching sessions specifically focused on entrepreneurship in the South African context. Further to this it was found that a need exists for entrepreneurs to be coached by other entrepreneurs and that the role of a coach should be clarified to set realistic expectations from the onset of the intervention. These findings are in agreement with some of the key recommendations from South African national experts as cited in the GEMS 2012 report. The current research adds to the body of research on coaching in general. It also contributes specifically entrepreneurial development programmes in the South African context. The outcome from this research has implications for business coaches, entrepreneurs and entrepreneurial development/support agencies as well as those who provide training and incubation programmes for entrepreneurs. / Industrial and Organisational Psychology / M. Com. (Industrial and Organisational Psychology)