Post graduate dissertations (Theses) of Industrial and Production Engineering (IPE) http://lib.buet.ac.bd;localhosthttp://:8080/xmlui/handle/123456789/68 2026-04-21T17:16:42Z 2026-04-21T17:16:42Z Salimuzzaman, Md. http://lib.buet.ac.bd;localhosthttp://:8080/xmlui/handle/123456789/7231 2026-01-05T04:07:10Z 2025-03-25T00:00:00Z

APPLICATION OF PARETO ANALYSIS AND CAUSE-EFFECT DIAGRAM TO REDUCE DEFECTS IN LASTING AND FINISHING SECTIONS OF A LEATHER FOOTWEAR INDUSTRY Ahmad, Dr. Nafis; Salimuzzaman, Md.; 1017082106; 685.3095492/SAL/2025 The footwear industry is one of the most promising and rapidly growing export sectors in Bangladesh. However, the manufacturing process is prone to defects and failures, which can lead to product rejections and customer complaints. With the rising demand for higher-quality products and the need to remain competitive in the global market, improving quality is essential for enhancing productivity and reducing costs associated with rejections and reworks. This study applies Pareto analysis and Cause-Effect diagrams to identify and address defects in footwear production, aiming to improve product quality. The research focuses on a leather footwear manufacturing company, specifically examining defects in the lasting and finishing processes of ladies' leather shoes. Data collected over six months were analyzed using Pareto analysis to identify the most significant defects. The analysis revealed that 82.20% of defects were concentrated in a few key areas. Additionally, Pareto analysis was used to pinpoint defects responsible for the majority of rejection and rework costs, accounting for 79.34% of the total expenses. These defects, including Leather Defects, Excess Roughing, Loose Leathers, Broken Stitch, Quarter Height Variation, Sole Damage, Poor Cementing, Vamp Length/Toe Depth Variation, Upper Damage, and Twisted Lasting, were identified as critical areas for improvement. To address these issues, hierarchies of causes for each defect type were organized, and Cause-Effect diagrams were constructed. Based on the analysis, specific recommendations were provided to mitigate the root causes of these defects, thereby reducing rejection losses and enhancing both productivity and product quality. The study concludes with actionable suggestions for further advancements in defect reduction and quality improvement in the footwear industry. Keywords: Footwear Industry, Product Quality, Lasting and Finishing, Footwear Defects, Pareto Analysis, Root Cause Analysis, Productivity, Reduction of Costs.

2025-03-25T00:00:00Z Sarker, Subroto http://lib.buet.ac.bd;localhosthttp://:8080/xmlui/handle/123456789/7174 2025-08-27T05:11:15Z 2024-09-07T00:00:00Z

Strategies for implementing circular bio economy in food supply chain a case study Azeem, Dr. Abdullahil; Sarker, Subroto; 1018082121; 658.7/SUB/2024 Over the last few years, there has been interest among researchers and experts in the circular bio economy (CBE) concept as a possible solution for addressing social, economic and environmental issues. However, there seems to be a lack of focus on bio economy initiatives within the food supply chains (FSCs). This study aims to bridge this gap by conducting a review of existing literature and identifying the key strategies involved in implementing the CBE in the FSC. In this study, an extended literature review about the strategies for implementing CBE in the FSC was organized. Based on field surveying and face-to-face interviewing in support of the total interpretive structural modeling (TISM) technique, a total of twelve strategies were concluded. In addition, Matriced Impact Croises Multiplication Applique (MICMAC) analysis was applied to discover the driving and dependence power of each strategy. After the analysis, it was determined that the crucial strategies were "government policies" and "collaborative networks." Moreover, the study is among the first to try to determine what strategies are available to utilize CBE in the FSC in Bangladesh.

2024-09-07T00:00:00Z Chanda, Pronoy Chandra http://lib.buet.ac.bd;localhosthttp://:8080/xmlui/handle/123456789/7172 2025-08-27T03:55:31Z 2024-11-12T00:00:00Z

Improving supply chain responsiveness for RMG sector of Bangladesh through drivers of industry 5.0 Aziz, Dr. Ridwan Al; Chanda, Pronoy Chandra; 1017082115; 658.5095492/PRO/2024 The relentless tide of globalization, coupled with the breakneck pace of technological evolution, has cast a spotlight on supply chain responsiveness as an indispensable factor underpinning success for businesses operating on a global scale. At the forefront of this transformation stands Industry 5.0, characterized by the seamless fusion of cutting-edge technologies such as Artificial Intelligence, Big Data analytics, and Robotics fosters a transformative synergy between human expertise and machine capabilities. Despite its pivotal role, there remains a conspicuous void in the comprehensive analysis of the driving forces propelling the adoption of Industry 5.0 to enhance supply chain responsiveness. This study thus embarks on a multifaceted approach to meticulously discern the fundamental drivers of Industry 5.0 and their intricate relationships within the contours of an emerging economy. Initially, the primary drivers are identified through an extensive literature review and feedback from experts. These drivers are then scrutinized and ranked using Pareto analysis. Subsequently, the contextual connections among these drivers are explored using interpretive structural modeling, coupled with cross-impact matrix multiplication applied to classification analysis. The findings underscore that driver of Industry 5.0 with strong driving power and low dependence power like Big data analytics to optimize supply chain cost possess strategic importance due to their proactive role to enhance supply chain responsiveness, particularly in response to the disruptions posed by the recent conflicts. Moreover, the study reveals the Cloud computing for dynamic supply chain also plays an important role to enhance Supply chain responsiveness. This study is anticipated to assist managers and decision-makers in effectively prioritizing Industry 5.0 drivers within supply chains, ultimately enhancing responsiveness. Keywords: Disruptions, Supply chain; Responsiveness; Industry 5.0; Artificial intelligence; Emerging economy.

2024-11-12T00:00:00Z Sristi, Nafisa Anzum http://lib.buet.ac.bd;localhosthttp://:8080/xmlui/handle/123456789/7164 2025-08-25T09:50:24Z 2024-11-04T00:00:00Z

Experimental Investigation and Performance Evaluation of Copper Oxide/Olive Oil-Based Nanofluid in Turning Hardened Steel Zaman, Dr. Prianka Binte; Sristi, Nafisa Anzum; 0422082009; 671.53/NAF/2024 Hardened steels are widely used in high-stress industrial applications but face significant challenges related to heat and friction, which accelerate tool wear and reduce machining efficiency. Conventional cutting fluids, predominantly mineral-based, pose environmental and health risks. To address these issues, vegetable oils are explored as eco-friendly alternatives with superior lubrication properties. Incorporating nanoparticles into vegetable oils further enhances their thermal conductivity, lubrication, and heat transfer characteristics. However, CuO/olive oil-based nanofluid remains unexplored in machining despite its potential for improved machinability. Previous studies lack systematic approaches to optimizing stable nanofluid preparation, and the correlation between nanofluid properties and machining performance is yet to be investigated. This study focuses on developing and evaluating stable CuO/olive oil-based nanofluids for enhanced performance in turning SKD 11 hardened steel using a Minimum Quantity Lubrication (MQL) system. CuO nanoparticles were synthesized using the co-precipitation method, and stable nanofluids with varying concentrations were developed through optimized ultrasonication parameters (60% intensity, 30 minutes). Comprehensive measurements, including thermal conductivity, viscosity, and contact angle, revealed that adding CuO nanoparticles improved the nanofluid's thermophysical properties, wettability, and lubrication performance. The nanofluids were applied using an MQL system to assess their impact on cutting temperature, material removal rate (MRR), cutting ratio, and chip morphology. Results showed that the nanofluid improved heat dissipation, reduced tool wear, and enhanced chip formation. The optimal cutting parameters were determined to be a feed rate of 0.137 mm/rev, a cutting speed of 134 m/min, and an MQL with 1 wt. % CuO nanofluid. The Grey Relational Analysis (GRA) method, applied for optimizing cutting parameters, proved reliable, achieving an absolute percentage error of only 1.097%. Additionally, correlation analysis indicated that properties such as kinematic viscosity, thermal conductivity, and contact angle significantly influenced machining performance. SEM and EDX results showed that cooling and lubrication significantly influence the wear of TiAlN-coated carbide inserts. MQL with CuO/olive oil-based nanofluid provides excellent wear resistance, with higher CuO concentrations improving tool performance by reducing friction and forming protective layers, minimizing material transfer from the workpiece. These findings underscore the effectiveness of CuO nanoparticles as solid lubricants in reducing tool wear. This study provides valuable insights into the relationship between nanofluid properties and machining outcomes, offering a sustainable alternative to conventional fluids while enhancing machinability. These findings pave the way for future research on nanofluids in machining processes and further optimization of cutting parameters for industrial applications.

2024-11-04T00:00:00Z