What-If Analysis: Decision-Making Model of Closed Loop Supply Chain under Uncertainty Conditions

Decision making is one of the key tasks in managerial outcomes whereby the effect of any decision matters a lot on the strategic dimensions of the organization. In recent years, due to increased environmental concerns, government regulations and natural resource constraints, and the impact of green laws, the supply chain has been attracting increasing attention. Given that the supplier plays an important role in the supply chain, if it is faced with the risk and disruption of the harmful and important impacts on the supply chain, it is necessary to study and study these conditions. Hence, in this paper, the problem of designing a closed loop supply chain network in terms of supply risk is discussed. In any decision, there are multiple perspectives or variables while are closely associated and these variables decide the overall impact on the scenario. For managerial decision making, there are assorted approaches which are used widely including sensitivity analysis, scenario analysis and many others. This research manuscript is focusing on the aspects of what-if analysis and associated decision making models under uncertainty. The manuscript covers the hidden patterns and perspectives which are mandatory to be associated and included in the process of decision making

Valence electronic structure of Mn in undoped and doped lanthanum manganites from relative K x-ray intensity studies

Relative $K$ x-ray intensities of $Mn$ in $Mn$, $MnO_{2}$, $LaMnO_{3}$ and $La_{0.7}B_{0.3}MnO_{3}$ ($B$ = $Ca$, $Sr$, and $Ce$) systems have been measured following excitation by 59.54 keV $\gamma$-rays from a 200 mCi $^{241}$Am point-source. The measured results for the compounds deviate significantly from the results of pure $Mn$. Comparison of the experimental data with the multiconfiguration Dirac-Fock (MCDF) effective atomic model calculations indicates reasonable agreement with the predictions of ionic model for the doped {manganites except} that the electron doped $La_{0.7}Ce_{0.3}MnO_{3}$ and hole doped $La_{0.7}Ca_{0.3}MnO_{3}$ compounds show some small deviations. The results of $MnO_{2}$ and $LaMnO_{3}$ deviate considerably from the predictions of the ionic model. Our measured $K\beta/K\alpha$ ratio of $Mn$ in $La_{0.7}Ca_{0.3}MnO_{3}$ cannot be explained as a linear superposition of $K\beta/K\alpha$ ratios of $Mn$ for the end members which is in contrast to the recent proposal by Tyson et al. from their $Mn$ $K\beta$ spectra.Comment: 14 pages, 4 figures. to appear in NIM-B.Please send an e-mail for figure

Vincent Tangredi : Fresco Paintings and Sculpture

Jenkner documents Tangredi's preoccupation with medieval and Renaissance art forms and the legend of St. Francis. Grenville views Tangredi's use of allegory as a means of destabilizing meanings attached to mortality, sexuality and religion. Biographical notes. 12 bibl. ref

Sampling in Judgement and Decision Making

Buku ini membahas tentang teori sampling, pendekatan pengambilan sampel yang berasal dari perspektif kognitif-ekologis yang lebih luas. Pendekatan pengambilan sampel untuk penilaian dan pengambilan keputusan merupakan contoh utama teori yang menjanjikan untuk membantu ilmuwan perilaku mengatasi tantangan replikasi dan kegunaan praktis.xviii, 551 p

Cell-Based CMOS Sensor and Actuator Arrays

In recent years, increasing knowledge about in vitro cell handling and culturing has encouraged a variety of CMOS- based approaches to stimulate and detect electrical activity of biological cells. This paper outlines in a topical review the scope of cell-based biosensors and actuators for in vitro applications ranging from single-cell detection to multisite probing of complex neural tissue. Recent examples are selected to demonstrate how standard CMOS processes have been used to engineer arrays with different functionality. Index Terms\u2014Cell-based biosensors, cell manipulation, dielec- trophoresis, extracellular recording, image sensors, in vitro, multi- electrode array (MEA), multisite recording, neurons