Thesis (MBA)--North-West University, Potchefstroom Campus, 2008.

The creation of shareholder wealth has become the key of corporate success. A setback in achieving this is a lack of commitment and participation in productivity initiatives at shop floor level in South Africa and companies are faced with competitive challenges of promoting innovativeness relating to productivity improvement amongst employees. It has increasingly been recognized that by introducing a carefully crafted incentive scheme, it may be possible to induce workers to work both harder and smarter and use existing technologies in new and better ways that enhance their productivity. The purpose of the study is to evaluate to what extend gainsharing can be a solution to the predicament. The empirical data used during the study was based on questionnaires that were administered amongst managers of Eskort Ltd. The research established that gainsharing would induce employees to effectively participate in problem solving or productivity improvement initiatives in the company. The majority of participants feel that gainsharing will benefit the company to deliver on client requirements; help enhance teamwork; create a feeling of ownership; share a portion of saved-cost for productivity improvement purposes; stimulate organization learning; improve communication between management and employees; stimulate employees to make suggestions on ways to improve productivity; and increase profit and reduce costs. The study clearly illustrates that money can be the primary drive for motivation to certain employees within the company. Further more based on the results of the empirical study the researcher came to the conclusion that motivated employees will be more productive and as a result have a positive influence on the value drivers employed by the EVA methodology. EVA is a value based performance measure, an investment decision tool and also a performance measure indicating the absolute amount of shareholder value created. / Thesis (M.B.A.)--North-West University, Vaal Triangle Campus, 2009.

The creation of shareholder wealth has become the key of corporate success. A setback in achieving this is a lack of commitment and participation in productivity initiatives at shop floor level in South Africa and companies are faced with competitive challenges of promoting innovativeness relating to productivity improvement amongst employees. It has increasingly been recognized that by introducing a carefully crafted incentive scheme, it may be possible to induce workers to work both harder and smarter and use existing technologies in new and better ways that enhance their productivity. The purpose of the study is to evaluate to what extend gainsharing can be a solution to the predicament. The empirical data used during the study was based on questionnaires that were administered amongst managers of Eskort Ltd. The research established that gainsharing would induce employees to effectively participate in problem solving or productivity improvement initiatives in the company. The majority of participants feel that gainsharing will benefit the company to deliver on client requirements; help enhance teamwork; create a feeling of ownership; share a portion of saved-cost for productivity improvement purposes; stimulate organization learning; improve communication between management and employees; stimulate employees to make suggestions on ways to improve productivity; and increase profit and reduce costs. The study clearly illustrates that money can be the primary drive for motivation to certain employees within the company. Further more based on the results of the empirical study the researcher came to the conclusion that motivated employees will be more productive and as a result have a positive influence on the value drivers employed by the EVA methodology. EVA is a value based performance measure, an investment decision tool and also a performance measure indicating the absolute amount of shareholder value created. / Thesis (M.B.A.)--North-West University, Vaal Triangle Campus, 2009.

Thesis (MBA)--North-West University, Potchefstroom Campus, 2008.

This research has identified the performance measures congruent with each model during a business life cycle. Questionnaire surveys have also been carried out to complement and validate the theoretical models. The results of the survey generally confirm the expected measures derived from the theoretical models. The learning process for these newer industrial business organisations can be greatly reduced if the expertise and experience of the established manufacturing business organisations is made readily available. This is the motivation for this research and the methodology which has been developed. The research also proposes use of a knowledge based expert decision support system to encapsulate the methodology, and the wealth of expert knowledge in the domain of performance measures. A prototype knowledge based expert decision support system has been developed to test the concept. It is hoped that this research has achieved its aim to provide a new contribution in the manufacturing business organisation strategy domain and to the improvement of managerial productivity and effectiveness through better use of performance measures.

No description available.

The main objective of this thesis is to further reduce the machining cycle time for producing Calcium Polyphosphate (CPP) implant constructs. To achieve this, the impregnation of the CPP lattice with various polymers is investigated, with the aim of improving the toughness of the material. By applying Taguchi’s orthogonal array method it was determined that CPP infiltrated with an ionic bonding polymer produces the best material for generating high quality machined surfaces and features. While there is some loss in surface porosity, in comparison to cutting uninfiltrated CPP, the porosity loss was deemed acceptable for the clinical purpose of the implant, and in many cases, would be trimmed off during a consecutive finish machining operation. The 2 fluted 4 mm diameter flat end mill at a cutting speed of 30 m/min and ¾ immersion up-milling, 0.1 mm chip load and 3 mm depth of cut were determined to be highly suitable for achieving both high productivity as well as excellent surface integrity. These conditions produced a material removal rate of 4,302 mm3/min, which was 14 times higher than the material removal rate achieved in machining pure CPP in earlier studies. The constructed machining model was highly successful in predicting the cutting forces, and therefore can be used in process planning and optimization in the production of tissue engineered implant constructs out of CPP. The Finite Element analyses predicted that the implant would not chip or break during the roughing operation, as validated experimentally. This allowed the roughing cycle time to be reduced from 159 min to 19 min, effectively achieving a productivity improvement of 8 times over the earlier work done in this area.

Graduation date: 1981

No description available.

The construction industry is one of the largest industries in the United States and has major influence on the nation's economy. While there is information about industry-wide labor productivity, there has been very little specifically aimed at analyzing the key macroeconomic factors such as labor productivity and gross margin of the construction industry as a whole and at fourteen of its sub-sectors. To address these shortcomings, the objectives of this research are threefold: (1) quantify the macroeconomic performance of the industry as a whole and at fourteen of its sub-sectors in terms of labor productivity, gross margin, and labor wages, (2) investigate the relationship among the three key parameters over the study period from 1992 to 2007, and (3) develop a quantifying model that predicts the level of a firms' profit as a function of such parameters. In addition, the paper seeks to further examine the interdependence between gross margin and labor productivity and wages by looking at the construction industry as a whole. First, data were collected from the 1997, 2002, and 2007 U.S. Economic Census reports generated by the U.S. Census Bureau. This raw data had discrepancies because of some missing values in data fields. This problem was then resolved by performing a bi-variate linear regression. Second, a one-way ANOVA and a general linear regression analysis was performed to investigate whether there was a statistically significant relationship among gross margin, labor productivity, and labor wages per construction worker. Third, a quantifying model was developed to predict the value of gross margin as a function of key parameters. Lastly, the proposed model was then validated with actual values of gross margin observed in three states, California, Florida, and Texas. The results of this research clearly indicate that there was no statistically significant relationship between labor productivity and labor wages per construction worker. In addition, it was seen that there was no significant relationship between labor wages and gross margin per construction worker. However, this study proved that there was a statistically significant relationship between labor productivity and gross margin per construction worker, which suggests the importance of labor productivity. The validation study proved the reliability of the proposed model in predicting the value of gross margin, with little deviation. This study concludes that sub-sectors experiencing higher labor productivity resulted in more profits as represented by the level of gross margin. This finding conveys the important fact that as labor productivity improves, firm's profits also increase significantly. It is noticeable to find that the construction industry as a whole had experienced a steady increase in its labor productivity and gross margin over the study period.