Productivity management in the South African civil construction industry
- Authors: Bierman, Marius
- Date: 2015-06-25
- Subjects: Construction industry - Labor productivity , Construction industry - South Africa , Project management - South Africa
- Type: Thesis
- Identifier: uj:13612 , http://hdl.handle.net/10210/13795
- Description: M.Ing. (Engineering Management) , Labour productivity in South Africa is at its lowest in 46 years, according to Naicker. South Africa, when compared to its competitors in the emerging market, is less efficient and labour productivity is one of the lowest in the developing world; this does not bode well for the economy and the wellbeing of its citizens. ProductivitySA stated that productivity has an impact on several aspects of a country such as the economy and the society in general and is seen as “a critical driver of economic growth, employment, poverty reduction, and competitiveness” The Civil Construction Industry contributes 3.5% to the GDP of South Africa and it is faced with challenges such as an environment that is exceedingly competitive and organizations in the civil industry experience financial difficulties such as low profit margins. Furthermore, the industry is labour intensive and employs a significant number of unskilled and semi-skilled labour from the local community which is located within the vicinity of the project. The aim of this dissertation, therefore, is to identify the factors that have an impact on the productivity of the civil construction industry of South Africa. A secondary aim is to utilize the factors, which have been identified, to create a productivity management framework with a view to improve construction productivity as part of the normal project management system. An industry specific survey was conducted, in the form of a questionnaire, to ascertain the perceptions of industry professionals regarding factors that have an impact on productivity. A literature study was done to create a benchmark which was used to compare the findings of the questionnaire. The top ranked factors were then used as the foundation of the productivity management framework.
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- Authors: Bierman, Marius
- Date: 2015-06-25
- Subjects: Construction industry - Labor productivity , Construction industry - South Africa , Project management - South Africa
- Type: Thesis
- Identifier: uj:13612 , http://hdl.handle.net/10210/13795
- Description: M.Ing. (Engineering Management) , Labour productivity in South Africa is at its lowest in 46 years, according to Naicker. South Africa, when compared to its competitors in the emerging market, is less efficient and labour productivity is one of the lowest in the developing world; this does not bode well for the economy and the wellbeing of its citizens. ProductivitySA stated that productivity has an impact on several aspects of a country such as the economy and the society in general and is seen as “a critical driver of economic growth, employment, poverty reduction, and competitiveness” The Civil Construction Industry contributes 3.5% to the GDP of South Africa and it is faced with challenges such as an environment that is exceedingly competitive and organizations in the civil industry experience financial difficulties such as low profit margins. Furthermore, the industry is labour intensive and employs a significant number of unskilled and semi-skilled labour from the local community which is located within the vicinity of the project. The aim of this dissertation, therefore, is to identify the factors that have an impact on the productivity of the civil construction industry of South Africa. A secondary aim is to utilize the factors, which have been identified, to create a productivity management framework with a view to improve construction productivity as part of the normal project management system. An industry specific survey was conducted, in the form of a questionnaire, to ascertain the perceptions of industry professionals regarding factors that have an impact on productivity. A literature study was done to create a benchmark which was used to compare the findings of the questionnaire. The top ranked factors were then used as the foundation of the productivity management framework.
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South African construction industry’s perception of mitigation measures for addressing avoidable delay factors
- Authors: Matodzi, Emmanuel Funanani
- Date: 2015-06-26
- Subjects: Construction industry - South Africa , Engineering contracts - South Africa , Construction contracts - South Africa , Construction industry - Production control
- Type: Thesis
- Identifier: uj:13634 , http://hdl.handle.net/10210/13814
- Description: M.Ing.(Engineering Management) , Delays are a major problem faced by construction companies. The majority of the leading delays factors found from reviewing other studies were avoidable delay factors. The avoidable delay factors are factors caused only by the contractor. The reviewed studies gave recommendations for addressing the delay factors; however this study found that projects nevertheless still failing in South African construction industry and other countries even after the various studies made recommendations on how to avoid the delay factors. The objectives of this study were to establish the top ten avoidable delay factors and their mitigation measures in various countries and also to establish which of the proposed mitigation measures for each of the top ten avoidable delay factors were believed to be the answer in South African construction industry. A questionnaire was developed with questions that will probe the respondents to select the mitigation measures that will address each of the ten avoidable delay factors. The option answers were specifically designed to be close-ended. The size of the sample required was 80 and this study managed to get 82 responses. The survey was launched using SurveyMonkey which is an online survey platform. The data received was analysed for reliability and validity. The reliability was determined using Pearson Correlation Coefficient and was applied using the testretest approach. All questions had a coefficient greater than 0.6 which meant that the responses were reliable (strong). The validity was established using face validity. The responses were analysed to establish which mitigation measures have more frequency of selection. Some of the questions had some mitigation measures receiving more than 80% of the selection and some questions had some mitigation measures getting almost the same percentage selection. Most (60%) of the provinces of South Africa agreed on which mitigation measure must be used for addressing the avoidable delay factors.
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- Authors: Matodzi, Emmanuel Funanani
- Date: 2015-06-26
- Subjects: Construction industry - South Africa , Engineering contracts - South Africa , Construction contracts - South Africa , Construction industry - Production control
- Type: Thesis
- Identifier: uj:13634 , http://hdl.handle.net/10210/13814
- Description: M.Ing.(Engineering Management) , Delays are a major problem faced by construction companies. The majority of the leading delays factors found from reviewing other studies were avoidable delay factors. The avoidable delay factors are factors caused only by the contractor. The reviewed studies gave recommendations for addressing the delay factors; however this study found that projects nevertheless still failing in South African construction industry and other countries even after the various studies made recommendations on how to avoid the delay factors. The objectives of this study were to establish the top ten avoidable delay factors and their mitigation measures in various countries and also to establish which of the proposed mitigation measures for each of the top ten avoidable delay factors were believed to be the answer in South African construction industry. A questionnaire was developed with questions that will probe the respondents to select the mitigation measures that will address each of the ten avoidable delay factors. The option answers were specifically designed to be close-ended. The size of the sample required was 80 and this study managed to get 82 responses. The survey was launched using SurveyMonkey which is an online survey platform. The data received was analysed for reliability and validity. The reliability was determined using Pearson Correlation Coefficient and was applied using the testretest approach. All questions had a coefficient greater than 0.6 which meant that the responses were reliable (strong). The validity was established using face validity. The responses were analysed to establish which mitigation measures have more frequency of selection. Some of the questions had some mitigation measures receiving more than 80% of the selection and some questions had some mitigation measures getting almost the same percentage selection. Most (60%) of the provinces of South Africa agreed on which mitigation measure must be used for addressing the avoidable delay factors.
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