Abstract: An endeavour has been made to analyze the effect of various porous structures on the performance of a Shliomis model based ferrofluid lubrication of a squeeze film in rotating rough porous curved circular plates. Employing the method of Christensen and Tonder’s stochastic model, the roughness has been characterized by a stochastic random variable. Kozeny- Carman’s model and Irmay’s model for porous structures are adopted. The associated stochastically averaged Reynolds type equation has been numerically solved to obtain the pressure distribution and thus, paving the way for the calculation of load carrying capacity. The results indicate that Shliomis model based ferrofluid lubrication turns in a relatively enhanced performance as compared to Neuringer- Rosensweig model at least in the case of Kozeny- Carman’s model. This investigation underlines that for the improvement in bearing performance the Kozeny- Carman’s model needs to be preferred from design point of view. By suitably choosing curvature parameters and rotational inertia, the adverse effect of transverse roughness can be overcome by the positive effect of ferrofluid lubrication in the case of negatively skewed roughness when Kozeny- Carman’s model is deployed.

Abstract: Total quality management (TQM) is considered a very important factor for the long-term success of an organization. TQM implementation has been an important aspect for improving organisational efficiency. The links between TQM and performance have been investigated by numerous scholars. While examining the relationship between TQM and performance scholars have used different performance types such as financial, innovative, operational and quality performance. Recent research on total quality management has examined the relationships between the Total quality management and organizational performance. TQM focuses on continuous process improvement within organizations to provide superior customer value and meet customer needs. TQM a popular guideline for organizational management is adopted for developing strategic infomaps and infocharts for an information organization.

Abstract: The article deals with an improved analysis of the train flow system in Ukraine’s railway network. The main objective of the investigation is to reveal the peculiarities of the car flow destination system and to apply up-to-date knowledge for higher efficiency of railway transport. To solve the scientific problem the methods of complex network analysis have been used, thereby determining the basic statistic factors of the network topology. It has been proved that the destination network of ’s train formation plan is characterized by scale invariance. The revealed peculiarities of assortative mixing have made the understanding of the system’s processes simpler. The results obtained can be applied in analysis of the transportation system survivability of ’s railway network.