Browsing by Author "Rahman, Azizur"

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A Study into the Use of the Dysfunction Mode and Effects Critical Analysis (DMECA) in a Power Plant
(Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh, 2009-01) Rahman, Azizur; Uddin, Prof. Dr. Md. Kutub
Dysfunction Mode and Effect Critical Analysis (DMECA) is a well-established tool for assessing dysfunctions regarding the quality of maintenance and production processes. It is conceptually same as the Total Quality Management (TQM) tool of Failure Mode and Effect Critical Analysis (FMECA). It helps to focus on core challenges while still including a wide range of dysfunctions. Since the nature of dysfunctions and quality issues are very similar, the general idea and framework of a DMECA may be adapted successfully to remove dysfunctions in management process. The DMECA approach, to determine and analyze possible dysfunctions in complex management processes, was developed by Massimo Bertolini, et.al. [2]. They recommended that this method can be applied to various fields such as manufacturing industry, power plant, gas generating plant even where the measure of management process efficiency is more difficult. The analytical tool DMECA works according to the new ISO 9000:2000 standards and the Total Quality Management (TQM) principle concerning the 'process approach'. In this study, DMECA method is applied to determine and analyze the possible dysfunctions in complex management process of a power plant. According to the literature reviewed, probably this is the first to use the DMECA in a large power plant. DMECA is used to analyze each potential dysfunction mode for each elementary activity constituting the plant processes, to identify the subsequent effects. A list of priority interventions of the dysfunction modes then decided. The evaluation of the priorities are utilized to create a classification of the potential dysfunction modes according to a criticality parameter obtained by the combination of severity of the consequences, probability that the dysfunction occurs and chances that it can be detected. The process break-down structure defined during the process identification phase (reported in Figure 4.4 for the firms' processes) 09 sub-processes and 57 activities of job management process were identified. For each activity, possible dysfunctions had established and 175 potential causes have been identified for the whole process of 'job management'. A code number was assigned to each dysfunction with the same criteria as used to map the processes. In order to conduct a criticality analysis of dysfunction, the judgment criteria is defined, by which the unwanted event was assessed. The conversion tables (Table 4.2, 4.3, 4.4 & 4.5) were suggested to translate linguistic judgments into numerical values to obtain a Risk Priority Number (RPN). Thus, it will be possible to judge and evaluate the criticality of the dysfunction causes. Data for this study were collected from the respondents of the study area by using the questionnaire prepared (Appendix A). The interviews were made group wise in the power plant during their work and leisure time with the permission of interviewee as well as management. Each personnel completed the questionnaire independently, with the support of Table 4.5. Mean values (from all questionnaires) of the three parameters; occurrence dysfunctions (OD), Detectability dysfunctions (DD) and severity dysfunctions (SD) for each dysfunction were calculated. Finally, the respective RPNs were obtained as RPN = ODx DD x SD. The calculated RPN values are provided in table 4.6. These products may be viewed as a relative measure of the management dysfunctions. The RPN values can range from 1 to 1000, with 1 being the smallest management dysfunction possible and 1000 being the biggest management dysfunction possible. These values were then used to rank the various causes in the dysfunctions. In case of process with a relatively high RPN, the engineering team must make efforts to take corrective action to reduce the RPN. Likewise, because of a certain dysfunction has a relatively low RPN, the engineering teams should not overlook the causes and should not neglect an effort to reduce the RPN. This is especially true, when the severity of a cause is high. In this case, a low RPN may be extremely misleading, not placing enough importance on a cause where the level of severity may be disastrous. In general, the purpose of the RPN was to rank the various causes documented. The smaller the RPN the better - and - the larger the worse. Dysfunction causes and their relative weights were investigated for each activity in order to determine the most critical and to decide improvement actions. There are only 25 causes of dysfunctions those are critical amongst 175 cusses. The beauty of DMECA method is that it permits to identify and eliminate particular Dysfunctions and simultaneously it will correct or eliminate other problems or inefficiencies indirectly. Therefore, at the end of the DMECA structured process analysis, we obtained schemes where relatively few corrective actions can solve multiple dysfunctions (Table 5.2). This was possible because there were a strong interrelationship between management processes and activities. The main advantage of the methodology is its applicability to the managerial processes of each organization (i.e., firms, public services, local agency or government). In particular, DMECA is a valid technique to evaluate processes efficiency and effectiveness in the field of service sector where measuring, monitoring and correcting the possible dysfunctions in managerial processes are critical to improve the performances of production and maintenance. To analyze the managerial dysfunctions in any organization the DMECA approach is very effective and it involves low cost as it is found in this research work. So, it is a cost effective and can be applied to identify management personnel deficiencies which in turn will be helpful for uninterrupted production and/or maintenance. It identifies, access and ranks dysfunctions that are challenging to eliminate. Thus, the method prevents the consumption of time and cost of production and/or maintenance. In this study an application of the DMECA technique applied in an important power plant (maintenance and production for electricity) to analyze, to evaluate and to improve job management process efficiency. Finally a number of recommendations are made to the management to implement the research findings to the plants. At last but not least some recommendations are also made for further study.
An Ecommerce Mobile Application for Store Management
(Daffodil International University, 23-02-18) Khan, Shakil; Rahman, Azizur
Ecommerce mobile apps have revolutionized the way we shop and make purchases. Our application is an ecommerce mobile application. It is built for our client to establish their business online. By using the admin application, the client will be able to post their product to the consumer application. It will enable our clients to make a wide array of products available. With just a few clicks on a smartphone, consumers can browse and buy products from our store at any time and from any location. One of the key benefits of ecommerce mobile apps is their convenience and accessibility. Consumers no longer have to go to physical stores or wait for their computers to power on to make a purchase. They can easily compare prices, read reviews, and make informed decisions from the palm of their hand. Additionally, our app offers fast and secure payment options, which makes the checkout process quick and hassle-free. Refund abuse occurs when a customer uses the returns policy of a merchant so much that it becomes unprofitable. It will make advertising and marketing affordable. The demerit of our application is lack of in-store engagement with customers. A diminished sales flow can pose a great disadvantage to the business and thus acts as one of the limitations of our application’s usage. Our main application is retail and wholesale online.
Customer relationship management: a case study on Mother Horlicks
(BRAC University, 2017-07) Rahman, Azizur; Kamal, Dr. Yusuf
Business are in a constant race to increase profits, keep the current customer and gain new ones, competing for customers in a global market like never before. One of the many sets of tools aim at aiding the interaction between organization and customers are the Customer Relation methodologies. CRM is aimed at building long term relationships that keep customers coming back repeatedly. It aims to help organizations build individual relationships in such a way that both the firm and customer get the most out of the exchange, providing both parties with long term benefits. This case study addresses the different aspect of Customer Relationship Management. The study considers the extent to which the existing Customer Relationship Management system is an acceptable mechanism in terms of compliance and efficiency. The findings of the study indicate that in Bangladesh most of the firms are less interested to maintain CRM with its customers. By contrast GSK is trying to maintain it with different aspect. They are maintaining 360 degree approach to keep their customers loyal.
Drug abuse in Bangladesh: knowledge, attitude and perceptions of secondary school students
(Research and Evaluation Division, Brac, 2001-12) Ahmed, Syed Masud; Chowdhury, Shamim Matin; Rana, AKM Masud; Rahman, Azizur; Chowdhury, AMR
GSK'S financial performance trend analysis
(BRAC University, 5/24/2012) Rahman, Azizur; Mursalin, Md. Jabir Al
The internship report includes the process of reviewing and evaluating a company’s financial statements (such as the Balance Sheet or Income Statement), thereby gaining an understanding of the financial health of the company and enabling more effective decision making. Financial statement analysis is an evaluative method of determining the past, current and projected performance of a company. Techniques are commonly used as part of financial statement analysis like ratio analysis, which calculates statistical relationships between data. Financial statement forecasting enables organizations to assess their current operating performance, review the state of the economy and determine how they will perform in the future. Understanding that an ounce of prevention is worth a pound of cure, corporate management fully supports forecasting activities. Top leadership's support is cardinal because it favors acceptance down the hierarchical spectrum, especially when it comes to predicting the results of segments with weaker sales data. This internship report is aimed at providing a comprehensive analysis of the financial statements of GSK. Efforts have been employed to make the content relevant, reliable and understandable. The report has been segmented into five parts. These are basically Introduction, Organization and Industry Analysis, Activities within GSK Bangladesh Ltd., Trend Analysis of Financial Statement and Conclusion. I have taken all the reasonable care to ensure the quality of the report and I hope that it includes all the necessary information which is in the scope of my ability. I would like to express that my effort for this report will provide you a better picture regarding the subject matter of the study.
Review Analysis of Ride-Sharing Applications Using Machine Learning Approaches Bangladesh Perspective
(CRC Press, 2023-01-01) Islam, Taminul; Kundu, Arindom; Lima, Rishalatun Jannat; Hena, Most Hasna; Sharif, Omar; Rahman, Azizur; Hasan, Md Zobaer
Technology and ride-sharing services have become more accessible and convenient as a result of the growth of the Internet. Passengers increasingly focus on digital reviews to help them make purchasing decisions. Online reviews are incredibly inaccurate, as we have seen time and time again. False reviews were created to deceive customers for commercial purposes. A misleading review might have major repercussions for any organization. Organization is focused on providing good feedback to attract passengers and grow the market. It is possible that a bad review of an app would reduce interest in it. These false reviews endanger the reputation of a product. Because of this, it is critical to have a system in place for detecting fraudulent reviews. This research aims to improve the performance of machine learning models that classify fake reviews. This research aims to contribute to the authenticity of reviews using contemporary techniques and the data from ride-sharing apps. This contribution is vital and significant in a country where ride-sharing apps are becoming more convenient and useful. We created a fresh dataset using different apps-based reviews from the current Bangladesh ride-sharing users’ review section. In this work Decision tree, Random Forest, Gradient Boosting, AdaBoost, and Bi-LSTM machine learning approaches were implemented to get the best performance on our dataset. After creating and running the model, Bidirectional Long Short-Term Memory (Bi-LSTM) achieved 85% best accuracy and 85.0 F1 score with training data rather than other machine learning algorithms.
Rural-Urban Disparities in Nutritional Status Among Ever-Married Women in Bangladesh: A Blinder-Oaxaca Decomposition Approach
(PLOS ONE Publications, 2023-12-14) Hossain, Md. Ismail; Habib, Md. Jakaria; Zinia, Faozia Afia; Rahman, Azizur; Methun, Md Injamul Haq; Haq, Iqramul
This study aims to investigate socioeconomic disparities in nutritional status among ever-married women in Bangladesh and to break down urban-rural differences in the underlying causes of under nutrition. We utilized data from the Bangladesh Demographic and Health Survey 2017-18, a sample size of 18328 ever-married women, including 5170 from urban residences, and 13159 from rural residences. To explore socioeconomic inequality, we employed a concentration indexing measure, while a multiple binary logistic regression model was carried out to identify the determinants associated with the outcome variable. A Blinder-Oaxaca decomposition analysis was performed to decompose the urban-rural gap in women's nutritional status using associated factors. The prevalence of under nutrition among ever-married women in Bangladesh was 12 percent. Notably, this percentage varied by region, with urban residents accounting for 8.6% and rural residents accounting for 13.3%. Our findings confirmed that under nutrition was more prevalent among women with lower wealth indexes in Bangladesh, as indicated by the concentration index (CIX = -0.26). The multivariable analysis investigating the determinants of under nutrition status among ever-married women, with a focus on residence revealed significant associations with respondent age, education, marital status, mass media access, wealth status, and division. According to the Blinder-Oaxaca decomposition and its extension, the prevalence was significantly higher in rural residences of Bangladesh than in urban residences, and the endowment effect explained 86 percent of the total urban-rural difference in under nutrition prevalence. The results of this study indicate that the factors that influence women's nutritional status in rural areas play a significant role in the gap, and the majority of the gap is caused by education and economic position. In order to effectively promote maternal health policies in Bangladesh, intervention techniques should be created that are aimed at the population, that is, the poorest and least educated.