Journal of CENTRUM Cathedra. Vol. 08, Issue 01
URI permanente para esta colecciónhttp://54.81.141.168/handle/123456789/194738
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JCC Volume 8 - Issue 1 - 2015
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Ítem Acceso Abierto Adaptive Neuro-Fuzzy Optimization of the Net Present Value and Internal Rate of Return of a Wind Farm Project under Wake Effect(Pontificia Universidad Católica del Perú. CENTRUM, 2015) Petković, DaliborAccording to studies on the impossible trinity, under conditions of high financial integration, the domestic interest rate is closely linked to the foreign one if the possibility of maneuvering interest rates is absent in this transaction. The Fisher effect is brought into this escapade because interest rates generally trend positively with inflation. Botswana has set her inflation target between 3-6% and this study attempts to determine inflation spillover effects from the United Kingdom, United States of America, Canada, Japan, China, Belgium, France, Germany, South Africa, Nigeria, and Ghana using data from 1980-2012. Comparatively, the attempts made by previous studies to examine spillovers generally lacked a long-run focus and channeled much attention to periods of financial crisis. This study deviates from other studies by using the Augmented Dickey Fuller (ADF) test to examine unit roots for the countries under examination. The study further applies the Johansen cointegration procedure, as well as the Granger causality test. The results show that Botswana’s inflation dynamics trend positively with all the countries under scrutiny except South Africa in a long-run framework. However, the Granger causality test only proved that Botswana’s inflation lead China’s inflation dynamics. In conclusion, Botswana’s inflation is not driven by other countries’ inflation dynamics.Ítem Acceso Abierto The Impossible Trinity and Financial Markets – An Examination of Inflation Volatility Spillovers(Pontificia Universidad Católica del Perú. CENTRUM, 2015) Bosupeng, MphoAccording to studies on the impossible trinity, under conditions of high financial integration, the domestic interest rate is closely linked to the foreign one if the possibility of maneuvering interest rates is absent in this transaction. The Fisher effect is brought into this escapade because interest rates generally trend positively with inflation. Botswana has set her inflation target between 3-6% and this study attempts to determine inflation spillover effects from the United Kingdom, United States of America, Canada, Japan, China, Belgium, France, Germany, South Africa, Nigeria, and Ghana using data from 1980-2012. Comparatively, the attempts made by previous studies to examine spillovers generally lacked a long-run focus and channeled much attention to periods of financial crisis. This study deviates from other studies by using the Augmented Dickey Fuller (ADF) test to examine unit roots for the countries under examination. The study further applies the Johansen cointegration procedure, as well as the Granger causality test. The results show that Botswana’s inflation dynamics trend positively with all the countries under scrutiny except South Africa in a long-run framework. However, the Granger causality test only proved that Botswana’s inflation lead China’s inflation dynamics. In conclusion, Botswana’s inflation is not driven by other countries’ inflation dynamics.Ítem Acceso Abierto Big Data Analytics Based on Logistical Models(Pontificia Universidad Católica del Perú. CENTRUM, 2015) Nywlt, Johannes; Grigutsch, MichaelOver the past years, a change of feedback data in terms of quantity, quality, and timeliness could be observed in production. The generation of high resolution production feedback data enables producing companies to apply big data analytics in order to create competitive advantages. This paper describes how logistical models can be used to conduct big data analytics. It will be explained how such logistic-oriented big data analyses can be applied to improve the logistical performance of producing companies. The results will be illustrated with the help of a best practice project.Ítem Acceso Abierto Efficient Evaluation of Production Measures Based on Logistical Models(Pontificia Universidad Católica del Perú. CENTRUM, 2015) Grigutsch, Michael; Nywlt, JohannesIn the course of globalization, producing companies are confronted with new challenges to optimize their logistics performance based on logistical measures. In order to be able to create a quantifiable basis for the selection of optimal measures, a management tool was developed at the Institute for Production Systems and Logistics. The developed tool is based on logistical and transfer models for logistically and monetarily evaluating logistical measures. Based on implemented logistical measures, this paper focuses on the evaluation of improved logistics performance and its impact on sales.Ítem Acceso Abierto A Model-Based Method for Assessing Potentials in Distribution Logistics(Pontificia Universidad Católica del Perú. CENTRUM, 2015) Becker, Julian; Fronia, Philip; Nyhuis, PeterDistribution logistics is an essential factor of a company’s success by virtue of its great impact not only on logistical performance, but also on logistics costs. For this reason, it deserves special attention. This paper presents a model-based analysis of the distribution logistics potential, with the aim of detecting the logistical and monetary potential within a company. Moreover, further research activities are identified in order to expand and improve the developed method.Ítem Acceso Abierto Model-Based Reorganization of Factory Structures(Pontificia Universidad Católica del Perú. CENTRUM, 2015) Lübkemann, Jens; Richter, Lukas; Nyhuis, PeterProducing companies are facing a turbulent environment and, therefore, the reorganization of a factory becomes a continuous task. In this paper, the first part of a model-based support for the planning of a factory's organizational structure is shown. A description model consistent of different structure elements will be presented. This paper shows the first part of a description model for the reorganization of a factory.