23 research outputs found

    Computerised software systems in replacement maintenance information management : a South African case study

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    Abstract: Computerised software systems have undeniably continued to gain recognition in the implementation of reliable maintenance policies in today’s Industries. While significant investigations corroborating the importance of management technology in developed economies abound, this study examines the level of the technology’s success in a typical manufacturing firm in South Africa. Using an analytical research approach, useful maintenance indices were established from the dataset stored in the maintenance information management system of a case example manufacturing firm, designated ‘X-Company’ in this research for the sake of confidentiality. The result shows that, as applied currently to the replacement maintenance of the case example system, the technology requires optimisation. Maintenance policies that can improve the poor correlation between the current status on the one hand, and the established trends in the maintenance engineering literature and practice on the other, are recommended

    Improving supply chain performance in the South African healthcare service : a literature based perspective

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    Abstract: Supply chain performance management plays an imperative role in keeping healthcare organizations sustainable and competitive by handling the storage and efficient distribution of resources in the value chain. Managing the complexity of healthcare demands and the application of improved technologies requires best practice supply chain models. The South African healthcare industry experiences unsatisfactory capacity limitations where there are extreme deficiencies of beds, equipment, facilities and trained healthcare professionals. This study highlights supply chain management strategies that can enhance efficient healthcare accessibility and delivery in South Africa using literature data. The results show that advanced healthcare delivery approaches such as ambulance divert and predictive analytics stand a good chance of improving supply chain management in the country

    Comparison of Multiple Linear and Quadratic Models in Estimating Road Crashes in Semi-Urban Two-Lane Roads: Case Study of Nsukka Municipal Council, South Eastern Nigeria

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    Road crashes are generally characterized by occurrence without prior notice as well as low or moderate to severe losses in terms of lives and properties. In particular, rural communities in developing countries count huge losses to crash exigencies due to lack of basic infrastructure. It is important that such accident trends which possess special and distinct features from those observed for Urban settlement be carefully studied and modeled for effective mitigation strategies. This paper proposes models that quantitatively assess the effects of various causal factors of crashes in rural roads of developing communities. Taking data from Nsukka municipality, South East Nigeria, it provides two reliable, statistically significant techniques of predicting accident rates on such roads. The results show that although important causal variables like “illiteracy, weather condition, alcohol and drugs” affect road accident, “reckless driving, over speeding, annual average daily traffic, poor road and mechanical faults” were variables that demand more assessment and control in road accident management in the studied location. Further, surface comparison of the developed models based on overall statistical indices suggests that multiple linear accident models are more accurate, though the quadratic accident model is statistically significant. A point by point calculation of deviations shows that the quadratic accident model, apart from its ability to take care of non-linearity effects of independent road accident variables, is actually more accurate than the linear model, except where the quadratic model suffered more numerical instability from the combination of numerical parameters

    Barriers to Climate Change Adaptation Among Farming Households of Southern Nigeria

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    Abstract Climate change is perhaps the most serious environmental threat to the fight against hunger, malnutrition, disease and poverty in Africa, essentially because of its impact on agricultural productivity. The objective of this paper was to identify the major barriers to climate change adaptation among smallholder farmers of Southern Nigeria. The paper was based on primary data collected within the framework of the Development Partnership for Higher Education (DelPHE) Project from 360 farming households selected randomly from the region. The data was analyzed using descriptive statistics and factor analysis. The result of the analysis show that majority of the farmers were men (70%), relatively educated (average of 9 years in school) and practiced mixed farming (61%). The major factors constraining farmers from adapting to climate change impacts were – (a) land constraints which manifested itself in limited availability, high costs and poor ownership systems (tenure); (b) poor climate change information and agricultural extension service delivery; (c) high cost of farm inputs and processing facilities; (d) high cost of irrigation facilities and government irresponsiveness to climate change risk management, (e) credit constraints, (f) labour constraints, and (g) income constraints. The paper concludes with a recommendation that farmers need to be supported in order for them to effectively adapt to the climate change impacts that are already affecting their production and hence reduce hunger and poverty. These supports could come from governments, non-governmental organizations and even farmers’ unions themselves

    Barriers to Climate Change Adaptation Among Farming Households of Southern Nigeria

    No full text
    Abstract Climate change is perhaps the most serious environmental threat to the fight against hunger, malnutrition, disease and poverty in Africa, essentially because of its impact on agricultural productivity. The objective of this paper was to identify the major barriers to climate change adaptation among smallholder farmers of Southern Nigeria. The paper was based on primary data collected within the framework of the Development Partnership for Higher Education (DelPHE) Project from 360 farming households selected randomly from the region. The data was analyzed using descriptive statistics and factor analysis. The result of the analysis show that majority of the farmers were men (70%), relatively educated (average of 9 years in school) and practiced mixed farming (61%). The major factors constraining farmers from adapting to climate change impacts were – (a) land constraints which manifested itself in limited availability, high costs and poor ownership systems (tenure); (b) poor climate change information and agricultural extension service delivery; (c) high cost of farm inputs and processing facilities; (d) high cost of irrigation facilities and government irresponsiveness to climate change risk management, (e) credit constraints, (f) labour constraints, and (g) income constraints. The paper concludes with a recommendation that farmers need to be supported in order for them to effectively adapt to the climate change impacts that are already affecting their production and hence reduce hunger and poverty. These supports could come from governments, non-governmental organizations and even farmers’ unions themselves
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