A lean production approach to materials management in the Nigerian construction industry
- Authors: Albert, Idowu
- Date: 2020
- Subjects: Materials management , Lean manufacturing Construction industry -- Nigeria
- Language: English
- Type: Thesis , Doctoral , DPhil
- Identifier: http://hdl.handle.net/10948/46008 , vital:39408
- Description: The Nigerian Construction Industry faces a problem of poor materials management that leads to, among other things, materials waste, poor quality of work, poor materials flow, project delay and cost overrun. Overcoming these challenges, requires the rethinking the current modus operandi of the Nigerian construction industry. One such method that has been espoused as having potential to improve materials management, and associated challenges is ‘lean production’. This research aimed at deciphering the lean approach to production management with a view of extracting its utility in enhancing materials management in the construction industry. The qualitative method of research inquiry that is rooted in the phenomenological paradigm was employed. The research activities included a comprehensive review of the related literature and study of selected cases. Abuja, the Federal capital territory of Nigeria was the selected geographical scope of the research. Ten case studies were purposefully selected for the study. The research instrument was a tick box used for direct observation. The study revealed that poor materials management has a negative effect on the materials management plan. Moreover, mixing of waste at the site, negates the effort for identification of materials waste streams, and makes it difficult to account for materials waste, as well as implementing a materials waste management policy on sites. The research also found that poor materials management has a significant effect (high, moderate or low) on materials waste, quality of work, materials flow, productivity, project delay, project profitability and accounting for materials. The research has developed a conceptual model for a lean production approach to materials management based on the results and informed by the theoretical framework. The study has achieved its aim of establishing an understanding of the lean production approach to materials management in the Nigerian construction industry. The study recommends that construction professionals should be well informed on the effects of poor materials management.
- Full Text:
- Date Issued: 2020
- Authors: Albert, Idowu
- Date: 2020
- Subjects: Materials management , Lean manufacturing Construction industry -- Nigeria
- Language: English
- Type: Thesis , Doctoral , DPhil
- Identifier: http://hdl.handle.net/10948/46008 , vital:39408
- Description: The Nigerian Construction Industry faces a problem of poor materials management that leads to, among other things, materials waste, poor quality of work, poor materials flow, project delay and cost overrun. Overcoming these challenges, requires the rethinking the current modus operandi of the Nigerian construction industry. One such method that has been espoused as having potential to improve materials management, and associated challenges is ‘lean production’. This research aimed at deciphering the lean approach to production management with a view of extracting its utility in enhancing materials management in the construction industry. The qualitative method of research inquiry that is rooted in the phenomenological paradigm was employed. The research activities included a comprehensive review of the related literature and study of selected cases. Abuja, the Federal capital territory of Nigeria was the selected geographical scope of the research. Ten case studies were purposefully selected for the study. The research instrument was a tick box used for direct observation. The study revealed that poor materials management has a negative effect on the materials management plan. Moreover, mixing of waste at the site, negates the effort for identification of materials waste streams, and makes it difficult to account for materials waste, as well as implementing a materials waste management policy on sites. The research also found that poor materials management has a significant effect (high, moderate or low) on materials waste, quality of work, materials flow, productivity, project delay, project profitability and accounting for materials. The research has developed a conceptual model for a lean production approach to materials management based on the results and informed by the theoretical framework. The study has achieved its aim of establishing an understanding of the lean production approach to materials management in the Nigerian construction industry. The study recommends that construction professionals should be well informed on the effects of poor materials management.
- Full Text:
- Date Issued: 2020
Factors affecting supply chain integration in public hospital pharmacies in Kenya
- Authors: Kamau, George Michungu
- Date: 2015
- Subjects: Supply and demand , Materials management , Business logistics
- Language: English
- Type: Thesis , Doctoral , DBA
- Identifier: http://hdl.handle.net/10948/7915 , vital:24321
- Description: The purpose of this study was to develop and empirically test the Supply Chain Integration Framework (SCI framework) in order to develop a framework to address the inefficiencies experienced in the public hospital pharmacies’ Supply Chain (SC) in Kenya. Supply Chain Management (SCM) can be regarded as a vibrant business entity that is changing and evolving continually because of constant changes in technology, competition and customer demands. The study investigated and analysed how the independent variables, namely SCI initiatives, performance improvement drivers, organisation environmental forces, workforce and management support, financial factors, flow and integration, regulatory framework and information sharing and technology influenced the SCI. The SCI was categorised into three components namely: customer order fulfilment, supplier collaboration and dedicated SC as the dependent variable. The literature reviewed established that globalisation and intensive worldwide competition, alongside technological developments, creates a completely new operating environment for organisations. The researcher reviewed various models and theories related to SCI which include systems theory, value chain models and value ecology models among others. An SCI framework was then developed to capture the interacting variables within the SCI network that could be adopted for the public hospital pharmacies in Kenya. The study was conducted using a survey questionnaire (Annexure B) that comprised both open and closed ended questions that were distributed to managers in public hospitals and pharmacies in Kenya. The population for the survey was 154 public hospital pharmacies in Kenya, with the final sample comprised of 280 respondents. The study was conducted using a survey questionnaire (Annexure B) that comprised both open and closed ended questions that were distributed to 325 respondents in 154 public hospitals and pharmacies in Kenya. The population for the survey was 154 public hospital pharmacies in Kenya, with the final sample comprised of 280 respondents. Exploratory factor analysis was used to ascertain the validity of the measuring instrument and the Cronbach alpha coefficients were used to measure the reliability of the measuring instruments. Key preliminary tests performed were the Kaiser-Meyer-Olkin test (KMO test) of sample adequacy, the Bartlett’s test of sphericity and the Kolmogorov-Smirnov test (Z-Statistic test) for normality and multi-collinearity diagnostic. Analysis of Variance (ANOVA) and multiple linear regressions were the main statistical procedures used to test the regression model fit and the significance of the relationships hypothesised among various variables in the study. Statistical softwares, namely Statistica 10 (2010) and Statistical Package for Social Sciences (SPSS) Version 18, were used to analyse quantitative data. The study identified five statistically significant relationships between customer order fulfilment and workforce and management support, financial factors, flow and integration, information sharing and technology, supplier collaborations and dedicated SCI. In addition, a total of six statistically significant relationships exist between the supplier collaborations and SCI initiatives i.e. performance improvement drivers, workforce and management support, financial factors, flow and integration, information sharing and technology adoption as well as dedicated SCI. Furthermore, four statistically significant relationships were found between dedicated SCI and SCI initiatives, workforce and management support, financial factors, flow and integration, information sharing and technology adoption.
- Full Text:
- Date Issued: 2015
- Authors: Kamau, George Michungu
- Date: 2015
- Subjects: Supply and demand , Materials management , Business logistics
- Language: English
- Type: Thesis , Doctoral , DBA
- Identifier: http://hdl.handle.net/10948/7915 , vital:24321
- Description: The purpose of this study was to develop and empirically test the Supply Chain Integration Framework (SCI framework) in order to develop a framework to address the inefficiencies experienced in the public hospital pharmacies’ Supply Chain (SC) in Kenya. Supply Chain Management (SCM) can be regarded as a vibrant business entity that is changing and evolving continually because of constant changes in technology, competition and customer demands. The study investigated and analysed how the independent variables, namely SCI initiatives, performance improvement drivers, organisation environmental forces, workforce and management support, financial factors, flow and integration, regulatory framework and information sharing and technology influenced the SCI. The SCI was categorised into three components namely: customer order fulfilment, supplier collaboration and dedicated SC as the dependent variable. The literature reviewed established that globalisation and intensive worldwide competition, alongside technological developments, creates a completely new operating environment for organisations. The researcher reviewed various models and theories related to SCI which include systems theory, value chain models and value ecology models among others. An SCI framework was then developed to capture the interacting variables within the SCI network that could be adopted for the public hospital pharmacies in Kenya. The study was conducted using a survey questionnaire (Annexure B) that comprised both open and closed ended questions that were distributed to managers in public hospitals and pharmacies in Kenya. The population for the survey was 154 public hospital pharmacies in Kenya, with the final sample comprised of 280 respondents. The study was conducted using a survey questionnaire (Annexure B) that comprised both open and closed ended questions that were distributed to 325 respondents in 154 public hospitals and pharmacies in Kenya. The population for the survey was 154 public hospital pharmacies in Kenya, with the final sample comprised of 280 respondents. Exploratory factor analysis was used to ascertain the validity of the measuring instrument and the Cronbach alpha coefficients were used to measure the reliability of the measuring instruments. Key preliminary tests performed were the Kaiser-Meyer-Olkin test (KMO test) of sample adequacy, the Bartlett’s test of sphericity and the Kolmogorov-Smirnov test (Z-Statistic test) for normality and multi-collinearity diagnostic. Analysis of Variance (ANOVA) and multiple linear regressions were the main statistical procedures used to test the regression model fit and the significance of the relationships hypothesised among various variables in the study. Statistical softwares, namely Statistica 10 (2010) and Statistical Package for Social Sciences (SPSS) Version 18, were used to analyse quantitative data. The study identified five statistically significant relationships between customer order fulfilment and workforce and management support, financial factors, flow and integration, information sharing and technology, supplier collaborations and dedicated SCI. In addition, a total of six statistically significant relationships exist between the supplier collaborations and SCI initiatives i.e. performance improvement drivers, workforce and management support, financial factors, flow and integration, information sharing and technology adoption as well as dedicated SCI. Furthermore, four statistically significant relationships were found between dedicated SCI and SCI initiatives, workforce and management support, financial factors, flow and integration, information sharing and technology adoption.
- Full Text:
- Date Issued: 2015
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