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                  <text>MSc. Engineering Project Management</text>
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                <text>An Assessment of Lean Implementation in the After Sales Service Of The Air Condition Industry: A Case Study on Cold Temperatures Limited.&#13;
&#13;
&#13;
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                <text>Justice Tagoe</text>
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                <text>The need for air condition companies to implement lean in the delivery of services is one that cannot be overlooked. Growth in any industry is linked to satisfaction given to customers of that&#13;
industry. The key to maintaining a competitive advantage in service delivery can be attributed to the implementation of lean techniques and principles. This study assesses lean implementation in the after sales service of the air condition&#13;
industry using Cold Temperatures Limited as a case study. This assessment is done by applying lean techniques and principles in the minimization of waste. A brief background of lean principles and techniques by various authors is presented which includes both empirical and theoretical review of the literature.&#13;
Both qualitative and quantitative research methods were used. Observations were done and questionnaires administered randomly to active customers of Cold Temperatures Limited&#13;
after calculating the sample size using Yamane’s (1967) formula. Furthermore, data collection was done by walking the shop floor and recording the processing and lead times for service delivery.&#13;
SPSS and Excel were used to generate tables and charts which helped in analysing data obtained and also identify the wastes within the company. The Pareto chart and cause and effect&#13;
diagram were also used to analyse the causes of the wastes in Cold Temperatures Limited. The takt time was calculated after drawing the current state of Cold Temperatures Limited with the&#13;
value stream map. This helped in the determination of the pace of service delivery. A future state map was then drawn indicating the improvement needed areas after which lean technique was&#13;
applied in the minimization of the wastes identified.&#13;
In conclusion, the researcher observed the service delivery of Cold Temperatures Limited&#13;
to be poor due to several factors and therefore recommended the maintenance and delivery&#13;
preparation departments to be joined together in order to eliminate the waste of motion between&#13;
these departments.</text>
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                <text>MSc Engineering Project Management</text>
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                <text>Ghana Technology University College</text>
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                <text>January 2017</text>
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                <text> Mr. Andrew Nunekpeku</text>
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                <text>Application of machine learning approach for iron deficiency anaemia detection in children using conjunctiva images</text>
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                <text>Justice Williams Asare, William Leslie Brown-Acquaye, Martin Mabeifam Ujakpa, Emmanuel Freeman, Peter Appiahene</text>
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                <text>Iron deficiency is commonly referred to as anaemia which is a general public health problem that normally occurs as a result of a reduction in red blood cells which is common in developing countries such as Africa. In this study, machine learning algorithms such as CNN, k-NN, Naïve Bayes, Decision Tree and SVM were utilized for the study to detect anaemia in children using conjunctiva images. The images were segmented into their various CIELAB colour space components and the ROI from each image was retrieved. The dataset was split randomly into 70:10:20, which were then used to train, validate, and test the models, as appropriate. The CNN achieved the highest accuracy (98.45 %). The findings of this study demonstrate that non-invasive techniques are essential for detecting anaemia in children. This study deploys a cost-effective mechanism, and result-orientated, to detect anaemia in developing …</text>
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                <text>Iron deficiency is commonly referred to as anaemia which is a general public health problem that normally occurs as a result of a reduction in red blood cells which is common in developing countries such as Africa. In this study, machine learning algorithms such as CNN, k-NN, Naïve Bayes, Decision Tree and SVM were utilized for the study to detect anaemia in children using conjunctiva images. The images were segmented into their various CIELAB colour space components and the ROI from each image was retrieved. The dataset was split randomly into 70:10:20, which were then used to train, validate, and test the models, as appropriate. The CNN achieved the highest accuracy (98.45 %). The findings of this study demonstrate that non-invasive techniques are essential for detecting anaemia in children. This study deploys a cost-effective mechanism, and result-orientated, to detect anaemia in developing …</text>
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                <text>Ghanaian Journal of Animal Science Journal/Ghanaian Journal of Animal Science/Vol. 11 No. 1 (2020)/Articles Open Access</text>
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                <text>K Adomako, E Asiedu, JA Hamidu, OS Olympio</text>
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                <text>The study was conducted to determine the number of rejected eggs, causes and economic implica-tions among three egg-type strains in a commercial poultry farm. A total of eight thousand layers were used for the on-farm study. Total eggs for each strain were determined by recording and counting each day’s production. The defective eggs were sorted out and the totals were recorded. Percentage for the defective eggs were then calculated. Data were taken four times a day at partic-ular time intervals. Strains 1 and 2 were 47 weeks and strain 3 was 82 weeks old at the start of the study. Data collected were analysed using one-way analysis of variance (ANOVA) with the aid of Genstat, Fifteenth Edition (2012) and the treatment means were separated using the Tukey’s Stu-dentized Range Test. Strain 2 produced the highest number of eggs (p&lt; 0.05) but recorded the low-est percentage of defective eggs (p&lt; 0.05). Strain 3 produced the lowest number of eggs (p&lt; 0.05) and yet recorded the highest percentage of defective eggs (p&lt; 0.05). The number of eggs collected and the percentage of defective eggs were significantly different (p&lt; 0.0) among the strains. The total economic loss as a result of defective was GH¢ 17, 106.43 with strain 3 recording the highest economic loss (GH¢ 8, 304. 77) followed by strain 1 (GH¢ 6, 022.76) which also recorded a higher economic than strain 2 (GH¢ 2, 778.90). It can be concluded that all other factors being equal, strain and age influence the percentage of defective eggs with the type of strain used either in-creasing or decreasing the number of defective eggs; and with older birds producing more defec-tive eggs …</text>
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                <text>The complexities of the global financial market have made investment decisions very critical in this fast-paced global world. As a result of these complexities, investment decisions are always affected by psychological and behavioural biases. These biases tend to affect the prices and performance of financial securities being offered for sale on the market. This study aims to investigate the mediating role of personal financial behaviour on the relationship between culture and investment decision-making. A quantitative approach was used for the study, and a systematic sampling technique was used to gather cross-sectional data from 476 respondents. The data was analysed using the Structural Equation Model (SEM) technique by using SmartPLS 3 software. The analysis of the SEM proved that culture has a significant and positive impact on personal financial behaviour. It also revealed that personal financial behaviour has a positive and significant influence on investment decision-making. However, on the mediation role of personal financial behaviour on the relationship between culture and investment decision-making, only risk tolerance was found to be significant. With the exception of income, all the demographic factors which were used as moderators for the relationship between personal financial behaviour and investment decision-making were insignificant. According to the study, culture can mediate the relationship between personal financial behaviour and investment decision-making. The study recommended that government considers the individual investor’s cultural lineage when coming out with investment policies.</text>
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                <text>Prior studies on the relationship between FDI and growth have generally concentrated on mean effects, or average growth benefits. It seems improbable that the majority of sub-Saharan economies will have similar “average” economic growth, hence the emphasis on mean effects in particular falls short. All other drivers can be seen to have an impact based on the uneven growth rates of these economies. The current study brings new evidence about the asymmetric relationship between foreign direct investment (FDI) and economic growth amidst financial sector development (FSD) and corruption covering a sample period of 2002 to 2020 for 48 sub-Saharan economies. For this reason, the instrumental variables panel quantile regression technique is employed to achieve the purpose of the study. The study finds that FDI inflows have a significant positive relationship with economic growth for economies with low …</text>
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