Problem-based learning as a teaching tool is now used globally in many areas of higher education. It provides an opportunity for students to explore technical problems from a system-level perspective and to be self-directed life-long learner which is mandatory for equipping engineering students with the skill and knowledge. This paper presents a case study illustrating the effectiveness of implemented Problem-based learning (PBL) during five semesters in the undergraduate programs of Textile Engineering in Ahsanullah University of Science and Technology (AUST). An assessment has been done on the basis of feedback from the students as well as their employers by conducting an empirical survey for the evaluation of PBL impact to enhance the student's competencies. The Evaluations indicate that students have achieved remarkable competencies through PBL practices which helped them to be competent in their professional life.
The article describes the challenges and success factors of implementing sustainability in the Bangladeshi textile industry. The main purpose was to identify the barriers and change them to success to maintain a satisfactory and pleasant environment in the industry. Implementing and ensuring sustainability in the Bangladeshi textile industry is a priority. The barriers and success factors of sustainability in Bangladeshi textile industry through a survey based was evaluated. The survey was carried out through questionnaires of managers in the Bangladeshi textile industry. The test was carried out at the producer level of the industry based on the three pillars of sustainability (social, economic, and environmental). The 5-point Likert scale was used to receive the responses. We surveyed a total of 26 people from 7 different factories. SPSS software was used to analyse the surveyed data and quantify the barriers and success factors of sustainability. Data were statistically analysed using reliability tests, multiple regression analysis, ANOVA, coefficients, regression equation development, and Pearson's correlation. The analysis illustrated the socio-environmental aspect as the most important predictor, while the environmental-economic and economic-social aspects were the least important to the managers of the Bangladeshi textile industry. The performance of any industry depends on the management and their way of handling situations. Our research goal was to find out the challenges that the management faces and what could be possible solutions for these challenges. The article shows the ways of finding out the existing barriers to sustainability by conducting a survey of the textile industry and the possible solutions to these barriers to ensure a better work environment. The article also shows how to keep the industry performance updated, improved, and satisfactory. The report would be beneficial to the Bangladesh textile industry administration to identify industry barriers to implementing sustainability and changing it to success.
The purpose of this paper is to explore the methodology that has adopted to implement PBL in textile engineering education at “Lucian Blaga” University of Sibiu (LBUS) which also highlights its potential influence on Six Sigma projects that has implemented in a textile manufacturing industry. The function of both PBL and Six Sigma approaches is to solve the problems by executing projects in a systematic way. Structurally, they are quite similar in nature. Many academic institutes around the world are currently introducing PBL to enhance the quality of higher education. On the other hand manufacturing units are trying to shorten their Six Sigma project duration, but interconnection between both issues is not always evident or addressed. Therefore, this study contributes to effective utilization of PBL in implementing Six Sigma projects. In this paper, at first PBL has been introduced in the textile engineering education through a collaborative project with a textile factory, where Six Sigma projects have also been executed simultaneously. The PBL team has contributed to the Six Sigma project team to solve the problem in factory premises. Finally, the students’ performance and the contributing effect of PBL activities to Six Sigma project have been assessed by conducting quantitative survey method containing structured questionnaires. The survey results revealed that the students’ performance has been upgraded through PBL activities. The PBL also showed a positive impact on executing Six Sigma project successfully and able to shorten the project duration. This paper has pointed out the necessity of introducing PBL to enhance the quality of textile engineering education as well as unifying PBL with Six Sigma approach for effective project execution within the Organization.
Knowledge is an essential part of organizational competitiveness. This vital resource must be managed correctly within organizations in order to achieve desired performance levels within all undertakings. The process of managing knowledge is a very difficult one due to the illusive nature of the resource itself. Knowledge is stored within every aspect of an organization starting from people and ending with documents and processes. The Knowledge Management Platform is designed as a facilitator for managers and employees in all endeavours knowledge related within the Advanced Product Quality Planning Procedure.
The forces exerted on fibres during drafting in the drafting zone with the upper and bottom aprons of the Ring Frame significantly impact the yarn quality. Aprons are crucial in manipulating fibres by facilitating movement and directing them toward the primary drafting area. From these two aprons, the bottom apron's tension is changed by changing tension spring bar groove hole positions. There is no scope for changing such settings in the case of top aprons. This research aims to achieve high-quality cotton carded knit yarn by selecting an appropriate bottom apron tension due to the significant role in proper drafting and twist insertion at the time of the manufacturing process directly affecting produced yarn's strength, evenness, imperfections, and hairiness properties. To fulfil this requirement, six yarn samples are produced each time by using 5 different tensions of the bottom drafting aprons. The samples underwent quality parameter testing, including Unevenness (U)%, Coefficient of Variation (CV)%, Imperfection Index (IPI), Hairiness (H), and Count Strength Product (CSP). The findings indicated that increasing the tension of the bottom apron while maintaining positions 1, 2, and 3 reduces the occurrence of neps, variations in thickness and thinness, and imperfections. In contrast, CSP is increased due to elevated stress on the fibres. In general, maintaining an appropriate tension enhanced the quality of the yarn, and the best quality was obtained for position 3, considering all the quality variables. Moreover, by using Interpretive Structural Modelling (ISM) methodology, the pairwise relationship between the quality variables is shown. Finally, after calculation, those quality variables are arranged in three levels. According to this level, the quality parameters are ranked where the top is the highest. It is observed that Count Strength Product is at the highest level, which indicates that CSP should be given more priority. Moreover, the end use of this yarn is to produce knit items, and for the knitting yarn, CSP is one of the most influential quality variables.
The purpose of this paper is to review the different models which integrate Six Sigma and Knowledge Management (KM) approaches and also to identify the advantages and disadvantages of those models. Based on literature, the available Six Sigma and KM models have been reviewed. All the models have been critically analysed according to their structure and end users and finally the advantages and disadvantages are enlisted. The Overview expressed that more or less every model has been proposed aiming to the specific endues and each model has both strength and weakness for application to all sectors. In this article, the advantages and disadvantages of existing Six Sigma-KM models have been identified. This study may offer some guidance to find new directions to eliminate the week points of those models by introducing new ideas and methodologies.
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