MTech. in Business Administration (MBA) / Universities of technology and institutions of technology produce electrical engineering technicians and technologists who expect to be employed in the electrical engineering industry. One of the reasons for a shortage of skills is the perception that the engineering industry has concerns regarding the quality of qualified students from universities of technology, because graduates struggle to meet the expectations of the industry. The industry expects them to possess basic skills, which can be utilised immediately. Technological advancement is ongoing and appears that the curricula of tertiary institutions are not keeping abreast of changes. This study aims to establish the perception of the engineering industry of the quality of electrical engineering graduates leaving universities of technology in order to evaluate their employability. Universities of technology should regard industry as their main client, supplying firms with the type of product they need.

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Manufacturing industries are facing major challenges in terms of improving product quality and increasing throughput while sustaining production costs to acceptable levels. Product-oriented processes, both legacy and new, are poorly monitored and controlled on the basis of distributed loop controllers that are aiming to maintain critical process variables within acceptable bounds. Thus, poor quality product results when such processes are subjected to large disturbances - operational failures, environmental changes, and changes in loading conditions. In this research, product quality modeling and control based on a vision inspection methodology is proposed to improve product quality and increase productivity. The main contributions of this research are twofold. First, this research introduces a product quality modeling methodology that combines both physical-based modeling and data-driven modeling. The quality model is the link between information coming from the inspection of product features and the specification of process control strategies. It is essential to control and optimize the process. Physical-based modeling is used to model the product temperature profile, and data-driven modeling is used to train the mapping from the product temperature profile to each quality metric. The break down of the sub models increase the flexibility of model development and reduce the effort to change the model when the quality metrics change. The second contribution is the development of a novel approach to control product quality based on vision inspection, which is developed as part of a hybrid, hierarchical architecture. The high-level control module involves scheduling of multiple plant processes, diagnostics of the failure condition in the process, and the supervision of the whole process. The mid-level control module, which is the focus of the work presented here, takes advantage of baking product quality indicators and oven parameter measurements to optimize zone temperature and conveyor speed set points so that the best product quality is achieved even in the presence of disturbances. The low-level control module consists of basic control loops. Each of them controls parameters of each operation in the process separately. They are generally simple and easy to implement.

Thesis (MTech (Business Administration))--Cape Peninsula University of Technology, 2007 / An assessment undertaken by the Clothing and Textile Centre in the Western Cape (Clotex) during 2002 revealed that there was a great need for quality in the clothing sector. Furthermore, the research undertaken by the Department of Science and Technology (2004) supports and recommends the development of simple, paper-based systems for implementation and measurement for quality and production systems. An analysis of the macro- and micro-environmental factors confronting the clothing industry revealed that substantial pressure was placed on the clothing industry due to unfavourable exchange rates, increased pricing and illegal imports. The result has been a decline in sales, profits and exports, which has lead to the closure of many clothing companies in the Western Cape during the period 2003 to present. Furthermore, this has resulted in the increase of SMME companies that have been established due to the increase in unemployment. A combination of qualitative and quantitative research techniques was applied during this study, namely focus-group sessions and survey questionnaires. Six focus-group sessions were held with participants from the retail sector, large manufacturers and small manufacturers with the purpose to establish the quality needs in the clothing industry and the type of quality systems utilised. The outcome of the focus group was the development of a questionnaire, using both a combination of scale response questions as well as dichotomous questions. As a result a research survey was conducted amongst the small manufacturing companies in the Western Cape who conform to the provisions contained in the National Business Act, 1996 (Act 102 of 1996). The research revealed that all the respondents had implemented quality control systems. Quality control systems are viewed as preventative systems in ensuring that goods not conforming to customer specifications are prevented from reaching the customer. The research analysis further revealed that communication between buyer and seller was an integral part of the success of the business. The research provides small-business with a framework, which will facilitate the evaluation of the current quality practices with the view to improving or implementing an effective quality assurance system.

Please read the abstract (Summary) in the section, 00front of this document / Thesis (PhD (Electronic Engineering))--University of Pretoria, 2008. / Electrical, Electronic and Computer Engineering / PhD / unrestricted

Digitized by Kansas Correctional Industries

Digitized by Kansas Correctional Industries

Call number: LD2668 .R4 1976 S93

LD2668 .T4 1954 G74 / Master of Science

published_or_final_version / Housing Management / Master / Master of Housing Management