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The performance of M-based generalized linear model (GLM) procedures based on the coverage probability

In designed experiments, we often encountered nonnormal response variables. The data transformations (Transf) approached are frequently employed to deal with these problems. One has to realize that analyzing such data based on transformations posed many drawbacks. A better approach in dealing with these problems is by using the Generalized Linear Model (GLM). The problem becomes more complicated when there existed outlier in the data set. As an alternative, we may turn to robust (M- based) Generalized Linear Model (GLM) technique, which is less affected by outlier. In this paper we investigate the performance of the M-based GLM by doing the Monte Carlo simulation and its performance is compared to the Transf. and the GLM techniques. The empirical evidence shows that the M-based GLM is slightly better than the GLM and the Transf. approach in a well-behaved data. However, when contamination occurs in the data, its performance is remarkably robust with respect to outlier and non-normal responses.

A Quality Function Deployment (QFD) Approach in Determining the Employer’s Selection Criteria

The industrial training program is part of the academic curriculum at the tertiary level. It plays an important role in providing students with the exposure to a real working environment in the industry. Through this program, the higher education institutions (HEI) could identify the gaps in the curriculum based on the requirements from the industry. In addition, the feedback from the industry will help the HEI to equip students with relevant skills according to the demands from the industry. Indirectly, it can help to address the issue of unemployed graduates of which the number seems to increase from time to time. Therefore, this study aims to obtain the feedback from the employers out there in order to determine the most preferred criteria in selecting students for the industrial training placement by using Quality Function Deployment (QFD) approach. The findings, through the development of house of quality based on the QFD approach, show that communication skills and students’ participation in sports and cocurricular activities at their university are the most preferred selection criteria. Therefore, the QFD approach can be used to translate the employers’ feedback in improving the marketability of the students in the industry.

Application of quality measurement tools in determining the quality of drinking water

Use of quality measurement tools is gaining an attention in the industry and also outside of the industry to improve quality and productivity. In this study, two out of seven quality measurement tools have been applied in determining the quality of drinking water in Malaysia during the year 2010. This study is conducted to measure the nonconformance of drinking water parameter by using p control chart and also to know which states are beyond the control limit. Performance of all states including Federal Territory of Kuala Lumpur, Putrajaya and Labuan are measured in this study by applying Pareto chart and control chart. Pareto chart is used to identify the states which contribute to the proportion of non-conformance while p control chart is used to determine the states that are out of process control. Five parameters of drinking water identified to be the focus of this study are aluminium, chlorine residual, E.coli and chlorine residual, E.coli as well as turbidity. Analysis of variance (ANOVA) and post-h...

A nonlinear model of gold production in Malaysia

Malaysia is a country which is rich in natural resources and one of it is a gold. Gold has already become an important national commodity. This study is conducted to determine a model that can be well fitted with the gold production in Malaysia from the year 1995-2010. Five nonlinear models are presented in this study which are Logistic model, Gompertz, Richard, Weibull and Chapman-Richard model. These model are used to fit the cumulative gold production in Malaysia. The best model is then selected based on the model performance. The performance of the fitted model is measured by sum squares error, root mean squares error, coefficient of determination, mean relative error, mean absolute error and mean absolute percentage error. This study has found that a Weibull model is shown to have significantly outperform compare to the other models. To confirm that Weibull is the best model, the latest data are fitted to the model. Once again, Weibull model gives the lowest readings at all types of measurement error...

Modeling of gold production in Malaysia

This study was conducted to identify the main factors that contribute to the gold production and hence determine the factors that affect to the development of the mining industry in Malaysia. An econometric approach was used by performing the cointegration analysis among the factors to determine the existence of long term relationship between the gold prices, the number of gold mines, the number of workers in gold mines and the gold production. The study continued with the Granger analysis to determine the relationship between factors and gold production. Results have found that there are long term relationship between price, gold production and number of employees. Granger causality analysis shows that there is only one way relationship between the number of employees with gold production in Malaysia and the number of gold mines in Malaysia.

Penalty-rewards contrast analysis (PRCA) on the KL monorail services

Changes in living standards, tastes, views and education has changed the lifestyles where people are more emphasizing on quality and satisfaction with public amenities provided. One of the services provided is the KL Monorail; a public transport service which is based on a single beam track in the city that connects the north and center of Kuala Lumpur. Therefore, this study measures the customer satisfaction on the KL Monorail services and to identify the factors that should be given priority in improving their service levels. There were seven attributes being studied, namely the informations, the situation at the station, the situation in the KL Monorail, customer service, safety, efficiency and other aspects. The analysis found that the overall customer satisfactionis mean is 4.86. Based on the measurement of Penalty-Reward Contrast Analysis (PRCA), most of the KL Monorail service attribute are at moderate level of satisfaction except for the attributes at the station that have lower level of satisfaction. Therefore, a remedial actions or planning is needed to improve the customer satisfaction on the KL Monorail services.Changes in living standards, tastes, views and education has changed the lifestyles where people are more emphasizing on quality and satisfaction with public amenities provided. One of the services provided is the KL Monorail; a public transport service which is based on a single beam track in the city that connects the north and center of Kuala Lumpur. Therefore, this study measures the customer satisfaction on the KL Monorail services and to identify the factors that should be given priority in improving their service levels. There were seven attributes being studied, namely the informations, the situation at the station, the situation in the KL Monorail, customer service, safety, efficiency and other aspects. The analysis found that the overall customer satisfactionis mean is 4.86. Based on the measurement of Penalty-Reward Contrast Analysis (PRCA), most of the KL Monorail service attribute are at moderate level of satisfaction except for the attributes at the station that have lower level of satisfact...