http://repository.wyb.ac.lk/handle/1/3063 Fri, 08 May 2026 14:08:59 GMT 2026-05-08T14:08:59Z http://repository.wyb.ac.lk/handle/1/3585 Factors Related to Employee Satisfaction:A case study in Apparel Industries in Kurunegala District De Silva, NHAL; Panahatipola, PMOP Job satisfaction reflects the extent to which people find gratification or fullfilment in their work. Employees who have higher job satisfaction are usually less absent, less likely to leave, more productive, more likely to display organizational commitment, and more likely to be satisfied with their lives. The main objective of this research was to find the factors related to employees Job satisfaction from selected Apparel industry in Kurunegala District. Financial, Non-Financial, Fringe Benefit and other general factors such as Gender, Age, Experience, and Qualification were considered as the independent variables which affected to the dependent variable Job Satisfaction and the corresponding data were collected using a questionnaire. 320 data were collected from 6 different Garment Factories, 50 from each, which were located in Kurunegala District under the convenience sampling method. Ordinal Logistic Regression was used to analyse the data and to find the factors related to job Satisfaction. According to the analysis, independent variables under the general factors Gender, Age, Experience, and Qualification have no significant effect towards the job satisfaction. The Employee Satisfaction is strongly affected by the Financial, Non-Financial and Fringe Benefit factors. In conclusion, Financial, Non-Financial, Fringe Benefit factors are found to be the most affected factors to the Employee Satisfaction of Apparel Industries in Kurunegala District. Tue, 01 Jan 2019 00:00:00 GMT http://repository.wyb.ac.lk/handle/1/3585 2019-01-01T00:00:00Z http://repository.wyb.ac.lk/handle/1/3584 Evaluation of Suppliers Efficiency in Indirect Procurement in a Tyre Manufacturing Company Hithakshika, TS; Wickramasinghe, WMPM ppliers mainly affect the efficiency. This study was carried out to measure the efficiency of suppliers in indirect procurement in a tyre manufacturing company Data Envelope Analysis; graphical methods were used to evaluate the supplier efficiency by considering their relative efficiencies. A sample of 10 suppliers from the palate category are inspected to analyse the delivery status, quality of the delivery products, demand from the plant and the cost which was spent for their product. According to the result of graphical analysis suppliers B and J are the best practices in the market. With respect to the multiplier analysis and Data Envelope Analysis (DEA), suppliers B, D, E and J are most efficiency suppliers in the market. For all the methods, suppliers F and G are indicated as the poor efficiency suppliers in the market related to the tyre manufacturing company. Tue, 01 Jan 2019 00:00:00 GMT http://repository.wyb.ac.lk/handle/1/3584 2019-01-01T00:00:00Z http://repository.wyb.ac.lk/handle/1/3548 Time Series Forcasting And Comparison Using Neural Networks: A Study on Future Cryptocurrency values And Real Currencies Jayakody KGUD; Panahatipola PMOP; Dahanayaka SD Cryptocurrency is a type of currency available only in digital form, not in physical (such as banknote and coins). There are many uses of cryptocurrencies. The most well-known benefit is their ability to send and receive payments at a low cost and at a high speed. Cryptocurrencies, such as bitcoin, act as a censorship-resistant alternative store of wealth that only the individual with the privet keys to the wallet has access to. Hence, no personal bitcoin wallet can ever be frozen by the authorities. Likewise, it is now possible to travel the world by spending cryptocurrencies. As this is an international business all cryptocurrency transactions are done by using US dollars and the currency market is a typical area that presents time-series data and many researchers study on it and proposed various models. Many time-series prediction algorithms have shown their electiveness in practice. The most common algorithms now are based on Recurrent Neural Networks (RNN), as well as its special type Long-Short-Term- Memory (LSTM) and Gated Recurrent Unit (GRU). The aim of this study is to forecast and compare cryptocurrencies such as Bitcoin, Ethereum, Litecoin and Ripple and also real currencies such as Australian dollars, Euro all against US dollars using recurrent neural network. Tue, 01 Jan 2019 00:00:00 GMT http://repository.wyb.ac.lk/handle/1/3548 2019-01-01T00:00:00Z http://repository.wyb.ac.lk/handle/1/3547 Reducing the Importers Waiting Time in Declarations Directorate Branch at Sri Lanka Customs Bandara BMSGR; Aponsu GMLM Sri Lanka Customs is one of the oldest Customs administration in the world. It is a non – ministerial government department, which performs the duties and other taxes and levies in Sri Lanka. D Branch of Declarations Directorate is one of the main branches in Customs. The customers who enter the D Branch have to wait for a long time to get the service. Therefore large queue length can be seen in the Declarations branch. The main objective of this study was to reduce the importers waiting time in counters in Sri Lanka Customs ‘D’ Branch using Queuing theory. The Arena package was used for the analysis. There were two service counters at the D Branch and the arrival rate of customers, service rate, length of queue, idle time and probability of waiting of customers in the queue were calculated for the existing two branches. Then the same parameters were calculated by introducing another service counter and it was found that the length of the queue and waiting time of customers can be reduced by the system with three service counters. Tue, 01 Jan 2019 00:00:00 GMT http://repository.wyb.ac.lk/handle/1/3547 2019-01-01T00:00:00Z