M/G/C/C state dependent queuing networks consider service rates as a function of the number of residing entities (e.g., pedestrians, vehicles, and products). However, modeling such dynamic rates is not supported in modern Discrete Simulation System (DES) software. We designed an approach to cater this limitation and used it to construct the M/G/C/C state-dependent queuing model in Arena software. Using the model, we have evaluated and analyzed the impacts of various arrival rates to the throughput, the blocking probability, the expected service time and the expected number of entities in a complex network topology. Results indicated that there is a range of arrival rates for each network where the simulation results fluctuate drastically across replications and this causes the simulation results and analytical results exhibit discrepancies. Detail results that show how tally the simulation results and the analytical results in both abstract and graphical forms and some scientific justifications for these have been documented and discussed.
This study, based on the 2004 Bangladesh Demographic and Health Survey (BDHS), examines the extent to which regional variations of reproductive behavior are explained by inherent demographic, socioeconomic, and programmatic differences among regions. This article also attempts to investigate the impact of four intermediate fertility variables; namely marriage, contraception, lactational infecundability, and induced abortion, on fertility among different regions in Bangladesh. The contribution of proximate variables was observed through the decomposition of the total fertility rate (TFR) into proximate components. The results indicate that contraception is the highest fertility reducing factor in all the regions.
Using data derived from the 2007 Bangladesh Demographic and Health Survey (BDHS), this study investigates the regional variation of contraceptive norms according to the empowerment status of women in Bangladesh. The result suggests that contraceptive norms vary from region to region. Logistic regression analysis suggests that there exists a positive relationship between women's empowerment and use of contraceptive methods in all regions except Barisal and Chittagong. The result also indicates that women's empowerment has a significant positive effect on contraceptive norms in the Dhaka, Khulna, and Rajshahi regions.
Using the data derived from the 1989 Bangladesh Fertility Survey, the 1993-94 and 1996-97 Bangladesh Demographic and Health surveys, this study attempts to find the relationships between the factors affecting contraception and fertility among currently married women by using a linear recursive path model which provides direct and indirect relationships between the variables. The results suggest that women's status had a significant negative effect on childbearing and it had a significant positive effect on the use of contraception. It was also observed that higher incidence of child mortality led to a higher level of fertility.
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