Browsing by Author "Uddin, Md. Shaif"

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Analysis of barriers to green supply chain management implementation in leather industry: a case study
(Department of Industrial Production Engineering, 2017-11-14) Uddin, Md. Shaif; Ali, Dr. Syed Mithun
Leather processing industry is constantly polluting the environment in Bangladesh. As a result, stakeholders are continuously pressurizing managers working in leather processing industry to green leather processing activities. Thus, green concept is attracting significant attention to managers in Bangladeshi leather processing industry. The managers have toiled hard to execute the green idea in their supply chain management. However, the industry is struggling with many barriers to implementing green supply chain management (GSCM). This thesis entails the identification and prioritization of barriers and ranking the possible pathways to implement GSCM in Bangladeshi leather industry. Both from the reviews of analysts and literature, twelve barriers in four dimensions are identified. This thesis proposes a hybrid approach named analytical hierarchy process (AHP) and elimination et choix traduisant la realite (ELECTRE-I). AHP was used to calculate the weight and prioritize the barriers. ELECTRE-I was employed to rank the possible pathways to implement GSCM. We present an illustrative case to show the usefulness and validity of the proposed approach. A sensitivity analysis was done to investigate the strength of the outcome of the method. In this research, technology dimension has been occupied as first ranking and high cost of advanced technology was identified as most influential barrier. Green technology and techniques has been found as the most effective pathways. The findings of this research is hoped to support researchers and practitioners by giving insights on barriers and possible pathways to implement GSCM.
STUDY ON DIFFERENT ECONOMIC TRAITS OF COBB500 BOILER PARENTS AND THEIR PREDICTION
(Chattogram Veterinary & Animal Sciences Universiy, KHULSHI, CHITTAGONG-4225., 2011-02) Uddin, Md. Shaif
The study was undertaken on broiler parents, Cobb500 in the Gausia poultry and hatchery Ltd. at Chittagong, from October to November, 2010 to know the productive, reproductive traits and predict their values. The data which are used in this study are collected within a short period of time, so the study is not complete at all. It requires various logistic model for the estimation of predicted total yield accurately. By using the parameters of linear regression equation four economic traits (egg production, egg weight, live weight and feed intake) were predicted. The mean with standard deviation was analyzed by using Completely Randomized Design (CRD) in SAS (2000). R2 fit statistic was used to compare model the actual and predicted values. The age wise (from24 to 65 weeks) actual calculated value for the four traits are 93.55±.016 (feed in take), 603.12±.035 (live weight), 20.67±.013 (egg), 158±.214 (egg weight). Accordingly, the predicted values for these four traits are 92.99±.0005 (feed intake), 856.47±.003 (live weight), 52.92 ±.24 (egg), 227.367 ±.0136 (egg weight). For the trait feed intake the predicted and actual value are close in their relation but for other three traits (live weight, egg no, egg weight) the predicted values are higher than actual value. The study may help to reduce the costing for record keeping and calculated the total yield of different traits
STUDY ON DIFFERENT ECONOMIC TRAITS OF COBB500 BOILER PARENTS AND THEIR PREDICTION
(Chattogram Veterinary & Animal Sciences Universiy, KHULSHI, CHITTAGONG-4225., 2011-02) Uddin, Md. Shaif
The study was undertaken on broiler parents, Cobb500 in the Gausia poultry and hatchery Ltd. at Chittagong, from October to November, 2010 to know the productive, reproductive traits and predict their values. The data which are used in this study are collected within a short period of time, so the study is not complete at all. It requires various logistic model for the estimation of predicted total yield accurately. By using the parameters of linear regression equation four economic traits (egg production, egg weight, live weight and feed intake) were predicted. The mean with standard deviation was analyzed by using Completely Randomized Design (CRD) in SAS (2000). R2 fit statistic was used to compare model the actual and predicted values. The age wise (from24 to 65 weeks) actual calculated value for the four traits are 93.55±.016 (feed in take), 603.12±.035 (live weight), 20.67±.013 (egg), 158±.214 (egg weight). Accordingly, the predicted values for these four traits are 92.99±.0005 (feed intake), 856.47±.003 (live weight), 52.92 ±.24 (egg), 227.367 ±.0136 (egg weight). For the trait feed intake the predicted and actual value are close in their relation but for other three traits (live weight, egg no, egg weight) the predicted values are higher than actual value. The study may help to reduce the costing for record keeping and calculated the total yield of different traits