Národní úložiště šedé literatury Nalezeno 18 záznamů.  1 - 10další  přejít na záznam: Hledání trvalo 0.01 vteřin. 
Analysis of risks and their solutions in the production process
Daniš, Pavel ; Plášková, Alena (vedoucí práce) ; Mejdrech, Vlastimil (oponent)
Diplomová práce se věnuje analýze rizik a způsobům jejich řešení ve výrobním procesu. Její hlavním přinosem je zlepšení návrhu výrobního procesu vzduchotechnických systémů společnosti Lindab s. r. o. Práce podává komplexní přehled metody FMEA s jejími prvkami zaměřenými na zlepšování procesů, identifikuje rizika ve výrobě, jejich dopady, příčiny, úrovně významu, výskytu a odhalení. Dělí se na teoretickou a praktickou část. K předkládané práci byla využita zahraniční odborná literatura a poznatky z odborné praxe ve společnosti Lindab s. r. o. uskutečněné během studia na Vysoké škole ekonomické v Praze.
Modeling Uganda
Cincibuch, M. ; Kejak, Michal ; Vávra, D. ; Auda, O. ; Aslanyan, Gurgen ; Bečičková, H. ; Daniš, P. ; Hřebíček, H. ; Janjgava, Batlome ; Kacer, R. ; Kameník, O. ; Konopecký, F. ; Lamazoshvili, Beka ; Lukáč, J. ; Menkyna, Robert ; Mirzoyan, Armen ; Motl, T. ; Musil, K. ; Plotnikov, S. ; Rasulova, Khanifakhon ; Remo, A. ; Vlček, J.
The report has three chapters. The chapter 1 summarizes main features of the Ugandan economy relevant for building the FPAS. The chapter 2 presents the structural macroeconomic model and its properties captured by decompositions of variances of the model’s variables in terms of the model shocks and by its impulse-response functions. The chapter also describes Bayesian vector autoregressions used for the near-term forecasting. The chapter 3 evaluates how the models perform empirically. The forecasting power is assessed both in the sample as well as by using an out-of-the-sample comparison with the standard random-walk benchmark. We conclude that the FPAS performs satisfactorily in this comparison.
Modeling South Africa
Cincibuch, M. ; Kejak, Michal ; Vávra, D. ; Auda, O. ; Aslanyan, Gurgen ; Baksa, D. ; Bečičková, Hana ; Daniš, P. ; Hřebíček, Hynek ; Janjgava, Batlome ; Kacer, R. ; Kameník, O. ; Konopecký, F. ; Lukáč, J. ; Mirzoyan, Armen ; Motl, Tomáš ; Musil, K. ; Plotnikov, S. ; Remo, A. ; Szilágyi, K. ; Vlček, J.
The report has two chapters. Chapter 1 describes the structural model lies at the heart of the FPAS. It summarizes the main features of the South African economy relevant for building the structural model and describes in detail the most distinctive parts of the model. The chapter concludes with an analysis of the model properties and an interpretation of past economic developments in South Africa through the optic of the model. Chapter 2 evaluates how the FPAS performs empirically. The forecasting power is assessed by in-sample comparison with the standard random-walk benchmark. We conclude that the FPAS performs satisfactorily in this comparison.
Modeling Russia
Cincibuch, M. ; Kejak, Michal ; Vávra, D. ; Auda, O. ; Aslanyan, Gurgen ; Baksa, D. ; Bečičková, Hana ; Daniš, P. ; Hřebíček, Hynek ; Janjgava, Batlome ; Kacer, R. ; Kameník, O. ; Konopecký, F. ; Lukáč, J. ; Mirzoyan, Armen ; Motl, Tomáš ; Musil, K. ; Plotnikov, S. ; Remo, A. ; Szilágyi, K. ; Vlček, J.
The report has two chapters. Chapter 1 describes the structural model lies at the heart of the FPAS. It summarizes the main features of the Russian economy relevant for building the structural model and describes in detail the most distinctive parts of the model. The chapter concludes with an analysis of the model properties and an interpretation of past economic developments in Russia through the optic of the model. Chapter 2 evaluates how the FPAS performs empirically. The forecasting power is assessed by in-sample comparison with the standard random-walk benchmark. We conclude that the FPAS performs satisfactorily in this comparison.
Modeling Myanmar
Cincibuch, M. ; Kejak, Michal ; Vávra, D. ; Auda, O. ; Aslanyan, Gurgen ; Baksa, D. ; Bečičková, Hana ; Daniš, P. ; Hřebíček, Hynek ; Janjgava, Batlome ; Kacer, R. ; Kameník, O. ; Konopecký, F. ; Lukáč, J. ; Mirzoyan, Armen ; Motl, Tomáš ; Musil, K. ; Plotnikov, S. ; Remo, A. ; Szilágyi, K. ; Vlček, J.
The report has two chapters. Chapter 1 describes the structural model which lies at heart of the FPAS. It summarizes the main features of the Myanmar economy relevant for building the structural model and describes in detail the most distinctive parts of the model. The chapter concludes with an analysis of the model properties and an interpretation of past economic developments in Myanmar through the optic of the model. Chapter 2 evaluates how the FPAS performs empirically. The forecasting power is assessed by in-sample comparison with the standard random-walk benchmark. We conclude that the FPAS performs satisfactorily in this comparison.
Modeling Moldova
Cincibuch, M. ; Kejak, Michal ; Vávra, D. ; Auda, O. ; Aslanyan, Gurgen ; Baksa, D. ; Bečičková, Hana ; Daniš, P. ; Hřebíček, Hynek ; Janjgava, Batlome ; Kacer, R. ; Kameník, O. ; Konopecký, F. ; Lukáč, J. ; Mirzoyan, Armen ; Motl, Tomáš ; Musil, K. ; Plotnikov, S. ; Remo, A. ; Szilágyi, K. ; Vlček, J.
The report has two chapters. Chapter 1 describes the structural model which lies at the heart of the FPAS. It summarizes the main features of the Moldovan economy relevant for building the structural model and describes in detail the most distinctive parts of the model. The chapter concludes with an analysis of the model properties and an interpretation of past economic developments in Moldova through the lens of the model. Chapter 2 evaluates how the FPAS performs empirically. The forecasting power is assessed by in-sample comparison with the standard random-walk benchmark. We conclude that the FPAS performs satisfactorily in this comparison.
Modeling Kyrgyzstan
Cincibuch, M. ; Kejak, Michal ; Vávra, D. ; Auda, O. ; Aslanyan, Gurgen ; Baksa, D. ; Bečičková, Hana ; Daniš, P. ; Hřebíček, Hynek ; Janjgava, Batlome ; Kacer, R. ; Kameník, O. ; Konopecký, F. ; Lukáč, J. ; Mirzoyan, Armen ; Motl, Tomáš ; Musil, K. ; Plotnikov, S. ; Remo, A. ; Szilágyi, K. ; Vlček, J.
The report consists of three chapters. Chapter 1 - Introduction is concluded with a short description of Kyrgyz economy and some of the stylized facts. The report continues with two chapters. Chapter 2 describes the structural model which lies at the heart of the FPAS. It summarizes the main features of the Kyrgyz economy relevant for building the structural model and describes in detail the most distinctive parts of the model. The chapter concludes with an analysis of the model properties and an interpretation of past economic developments in Kyrgyzstan through the lenses of the model. Chapter 3 evaluates how the FPAS performs empirically. The forecasting power is assessed by in-sample comparison with the standard random-walk benchmark. We conclude that the FPAS performs satisfactorily in this comparison.
Modeling Kazakhstan
Cincibuch, M. ; Kejak, Michal ; Vávra, D. ; Auda, O. ; Aslanyan, Gurgen ; Baksa, D. ; Bečičková, Hana ; Daniš, P. ; Hřebíček, Hynek ; Janjgava, Batlome ; Kacer, R. ; Kameník, O. ; Konopecký, F. ; Lukáč, J. ; Mirzoyan, Armen ; Motl, Tomáš ; Musil, K. ; Plotnikov, S. ; Remo, A. ; Szilágyi, K. ; Vlček, J.
The report has two chapters. Chapter 1 describes the structural model lies at the heart of the FPAS. It summarizes the main features of the Kazah economy relevant for building the structural model and describes in detail the most distinctive parts of the model. The chapter concludes with an analysis of the model properties and an interpretation of past economic developments in Kazakhstan through the optic of the model. Chapter 2 evaluates how the FPAS performs empirically. The forecasting power is as- sessed by in-sample comparison with the standard random-walk benchmark. We con- clude that the FPAS performs satisfactorily in this comparison.

Národní úložiště šedé literatury : Nalezeno 18 záznamů.   1 - 10další  přejít na záznam:
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