Empirical Study on Big Data Analysis for Supply Chain Management

with globalization, outsourcing is reaching beyond continents. Design is done in one part of the world, manufacturing in another low-cost country and distribution to other countries in the world. Procurement is illuming as a central focus that requires to be synchronized with all other business functions. As a matter of course, a sizeable amount of a firm’s revenue goes for its supply chain that interprets the significance of the supply chain lays in a firm’s bottom-line. So, the supply chain has a tremendous opportunity to get used of data. Nowadays, the supply chain is attracting much and more attention because in terms of analytics it is behind other functions of a firm.  Specifically, this paper will (1) redefine, by research on scientific work, what BDA means in the context of Supply Chain Management, and how it differs and has evolved from analytics technologies; (2) evolve taxonomy of Big Data within SCM that identifies and classifies the different sources and types of data arising in modern supply chains and (3) suggest some applications of BDA and show the potential high value of this technology offers to solve intricate SCM challenges.  This research tries to explore how the behavior of Big Data can succor procurement and SCM in greater decision making. Big data can be a lightening of a resilient environment while managing suppliers in global SCM is a challenging task. Another studied aspect is having access to a greater pool of data and what kind of potential data can render benefit SCM. SCM professionals were interviewed to understand what they expect from their logistics, procurement and marketing systems and how Big Data can contribute to that. What type of transparency is needed? What requires to be automated? What delineation of data is useful? Furthermore, how Big Data can help with SCM risk management

THREE-DIMENSIONAL STEADY STATE AND TRANSIENT EDDY CURRENT MODELING

Maglev transportation using electrodynamic wheels is a promising new technology aimed at providing a low cost, high-speed and environmental friendly mode of transportation. In this technology, Halbach permanent magnet rotors, termed electrodynamic wheels, are simultaneously rotated and translationally moved above a conductive non-magnetic guideway. The time-changing magnetic field created in the airgap between the rotors and guideway induces eddy currents in the guideway which in turn interact with the magnetic rotor field to produce suspension and propulsion or braking forces which are required for maglev transportation. This technology offers an integrated suspension and propulsion system. In this dissertation the eddy current distribution in the conductive guideway has been modeled in three-dimension. An approach for the computation of the static magnetic fields due to the Halbach rotor has been presented using novel magnetic charge sheet concept. Finite element models have been developed to study the steady state and transient eddy current field distribution. Three analytic models have been developed to compute the electromagnetic forces and torque acting on the rotor as well as joule loss in the guideway. The models include the heave, translational and rotational motion of the magnetic rotor for dynamic simulation. The developed analytic and finite element models are highly generic and thus can be applied to any magnetic source. The developed finite element models have been validated by comparing it with commercial finite element software and previously developed boundary coupled steady state finite element model. Commercial finite element software and two experimental setups have been used to verify the developed analytic models. Computational efficiency of the presented models has been compared with the previously developed finite element model and commercial software. Good performance of the developed models has been achieved

Identification of a family of Bsp-A like surface proteins of Entamoeba histolytica with novel leucine rich repeats.

Leucine rich repeats serve as recognition motifs for surface proteins from bacteria and eukaryotes. The BspA protein from Bacteroides forsythus mediates bacterial binding to fibronectin and contains leucine rich repeats of the Treponema pallidum (TpLRRP) family. Here we show that the protozoan parasite Entamoeba histolytica contains multiple BspA-like proteins, including a family of surface proteins which possess a new form of a leucine rich repeat that differs from the standard Treponema pallidum- like leucine rich repeat (TpLRRP) by possessing two conserved cysteine residues

A 3-D Analytical Model for a Double Halbach Linear Array Electrodynamic Suspension System

By translationally moving a magnetic source above a conductive plate guideway both levitation and drag forces are created. Unfortunately, the electrodynamic drag force can be quite high [1]. Kratz studied a double Halbach array topology, such as shown in Fig 1 [1], and used a simple curve fitting approximation to model the forces. Kratz experimentally showed that a significant reduction in drag force can be created when using this “null current” approach. Much earlier Urankar derived analytic equations for a similar double coil system [2]