This research intends to analyze the impact of big data analytics capability (BDAC) toward supply chain innovation (SCI) and competitive advantage (CA) where green supply chain management (GSCM) performs the moderating role. A theoretical model was created, and hypotheses were formulated to investigate the links between these variables. Data collection was carried out through a survey of supply chain managers in manufacturing plants in Bangladesh. Total 341 valid responses were collected and analyzed with the method of partial least squares structural equation modeling (PLS-SEM) in WarpPLS. The findings of the study offer insights into how business can use BDAC to achieve SCI and CA. The results indicate that BDAC has a potential impact regarding a firm’s ability to enhance CA and SCI. Moreover, the moderating function of GSCM was examined, which was found to be a significant influence on one of these relationships. However, the industry age as a control variable was found to have no apparent impact on SCI or CA. The study also establishes the critical role of SCI in turning analytical skills into competitive results and partially mediates the relationship between BDAC and CA. In sum, this research illustrates how businesses can employ data-driven skills to increase productivity in complex and dynamic supply chain environments against the backdrop of a case study.
Cyclone shelters are an essential infrastructure for coastal communities, but their effectiveness depends on strategic location and availability within the community. This study assesses the adequacy of cyclone shelter capacity in the district of Khulna in Bangladesh, one of the most cyclone-prone regions in the world, by integrating Analytical Hierarchy Process (AHP) with GIS and remote sensing technologies. The multi-criteria decision analysis framework used AHP to systematically weight nine spatial vulnerability factors based on expert judgement of disaster management experts and achieved acceptable consistency (CR = 1.56
In this study, a unidirectional jute fiber-reinforced composite was fabricated using silica (SiO2) powder as a filler within a resin matrix. The unidirectional jute fiber mat was woven on a custom-designed handloom using 0.5 mm diameter jute yarn. Six different composites were fabricated with varying SiO2 filler contents of 0
Abstract Soft clay soils, prevalent in coastal and alluvial regions worldwide, exhibit low shear strength, high compressibility, and poor drainage, posing major challenges for construction. Geotextile-encased sand columns (GESC) offer an effective ground improvement technique by enhancing load-carrying capacity, stiffness, and drainage. A series of small-scale undrained triaxial tests was performed to examine the mechanical response of both ordinary sand columns (OSC) and GESCs, with a focus on the effects of column diameter, area replacement ratio, and cell pressure. Each test comprised saturation, isotropic consolidation under cell pressures of 50, 100, and 150 kPa, and subsequent undrained axial shearing at a constant displacement rate of 0.02 mm/min. Results show that the GESC increased the composite friction angle from 27° for unimproved soil to 30° at a 25% area replacement ratio. The peak stress ratio relative to unimproved soil was consistently higher for GESC (1.69) than for OSC (1.57) at the same area ratio, due to the additional confining stress provided by the encasement, showing about 20% greater settlement reduction compared to the OSC. An increase in the area replacement ratio from 6 to 25% resulted in an approximately 62.5% reduction in the average additional confining stress. While OSC primarily failed by bulging, GESC promoted a more favorable shear failure and reduced bulging deformation. Consolidation times were slightly longer for GESC (about 32% longer at 25% area ratio) due to clogging, but still achieved 430% faster consolidation than unimproved soil. Overall, GESC provide enhanced confinement and stability, making an effective solution for soft clay foundations.
A hybrid system of Sand Compaction Piles and Prefabricated Vertical Drains was used to enhance the ground performance of a MRT depot site in Dhaka, Bangladesh. PVDs were positioned up to a depth of around 21 m with 1.5 m triangular spacing to accelerate the consolidation of soft clay layers, while 700 mm diameter SCPs were constructed to boost liquefaction resistance up to a depth of around 5 m with 1.5 m square spacing and also up to a depth of around 24 m with 2.12 m square spacing to strengthen the very soft to medium stiff clay layers. The preload height of the embankment ranged from 3 to 4 m. Asaoka and Hyperbolic observational approaches were employed to estimate the final settlement. The expected eventual settlements in the PVD-treated zone and the SCP-treated zone were approximately 666 mm and 378 mm, respectively. A peak ground acceleration of 0.31 g and an earthquake magnitude of 7.5 were used to calculate the liquefaction potential. Prior to the ground improvement, factors of safety against liquefaction ranged from 0.2 to 0.5, indicating high susceptibility; however, post-treatment conditions showed a significant improvement with factors of safety above 1.0. Three-dimensional finite element analysis was utilized to predict the consolidation behavior and staged embankment construction. Numerical predictions and field observations corresponded reasonably well, with settlement variations of about 2–4
