The objective of this study is to find out the impact of trustworthiness on the usage of mobile banking (M-banking) apps in the capital city of Bangladesh. A structured questionnaire was distributed using the snowball sampling technique. Confirmatory factor analyses and structural equation modeling (using SPSS Statistics 20.0 and AMOS 26.0) were used on 362 responses found suitable for the study. The analytical results reveal that all three components of trustworthiness (ability, benevolence, and integrity) have a positive impact on M-banking app usage. Although banks have realized the importance of consumer convenience, they struggle to create trustworthiness. Thus, this study showcases that this positive trustworthiness amongst M-banking app users would be helpful in enhancing the usage of apps.

The blending of different fibers is done for the manufacturing of yarn to ensure the presence of multiple properties in the resultant yarn which is impossible if we use only one type of fiber. Tencel is regenerated cellulosic fiber & flax is natural bast fiber. Tencel shows more versatility than flax. Tencel has a softer feel with a variety of end uses. Tencel is wrinkle-prone and stiff. Tencel shows extreme strength even in wet conditions and at the same time, it is more durable than linen. The most important fact is that the heat dissipation property of flax is 5 times higher than wool & 19 times higher than silk. Linen clothing can lower the body temperature by 3 to 4 degree celsius in hot weather than clothing made of wool and silk. A yarn made of both Tencel & linen (50:50) will contain the properties of both fibers. At the same time, we can make this yarn more aesthetic by incorporating a slub. It was observed that the slub yarn made by blending Tencel and flax fiber shows better properties than the slub yarn of the same count made from the blending of cotton and flax.

This paper contains a production and inventory planning model with lot sizing in an RMG factory. This model is an example of mixed integer linear programming. The primary goal of this approach, which combines the make-to-order (MTO) and make-to-stock (MTS) production methods are to simultaneously satisfy existing customer orders and new customer orders in order to reduce the total cost. Here, make-to-order (MTO) and make-to-stock (MTS) production systems are becoming more and more common since they allow businesses to increase revenues while managing expenses by maintaining a positive cash flow. For mixed contexts where demand is cyclical but predictable, and the model stores the predicted data and fresh forthcoming orders.