The Experts below are selected from a list of 46374 Experts worldwide ranked by ideXlab platform
Vladimir Salnikov - One of the best experts on this subject based on the ideXlab platform.
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Russian manufacturing Production Capacity: Primary trends and structural characteristics
Russian Journal of Economics, 2017Co-Authors: Vladimir Salnikov, Dmitry Galimov, Andrey Gnidchenko, Olga Mikheeva, A. RybalkaAbstract:This paper estimates the Capacity utilization rate for Russian manufacturing. We also propose a way to build continuous Production Capacity time series and indicators to describe the basic characteristics of Production Capacity. The data come from form 1-natura-BM of the Russian Federal State Statistics Service. Our findings on the trends and structural characteristics of Production Capacity are shown to be significant for economic policy since we found that in recent years capacities utilization rate in Russian manufacturing industry has been not extremely high and that there is a strong correlation not only between capacities utilization rate and inflation rate but between capacities utilization rate and capacities commissioning intensity as well.
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Production Capacity in Russian manufacturing: Primary trends and structural characteristics
Voprosy Economiki, 2017Co-Authors: Dmitry Galimov, Andrey Gnidchenko, Olga Mikheeva, A. Rybalka, Vladimir SalnikovAbstract:The paper estimates Capacity utilization rate in Russian manufacturing. We also propose the way of building continuous time series of Production Capacity and analytical indicators used to describe the basic characteristics of Production Capacity. The data comes from statistical form No. 1-Natura-BM of Russian Federal State Statistics Service. Our findings about trends and structural characteristics of Production Capacity are shown to be significant for economic policy.
Wei Wang - One of the best experts on this subject based on the ideXlab platform.
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A Dynamic Forecasting Model of Unit Production Capacity for Process Industries
2006 6th World Congress on Intelligent Control and Automation, 2006Co-Authors: Wei WangAbstract:A dynamic forecasting model is proposed in this paper for the unit Production Capacity prediction in Production planning and scheduling systems of process industry. An application of this model is demonstrated in the planning and scheduling systems of a cold rolling steel sheet plant. It is showed that the model can forecasts the unit Production Capacity and makes the order to deliver by due date exactly.
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A Dynamic Forecasting Model of Unit Production Capacity for Process Industries
2006 6th World Congress on Intelligent Control and Automation, 2006Co-Authors: Yi-ning Qin, Wei WangAbstract:A dynamic forecasting model is proposed in this paper for the unit Production Capacity prediction in Production planning and scheduling systems of process industry. An application of this model is demonstrated in the planning and scheduling systems of a cold rolling steel sheet plant. It is shown that the model can forecasts the unit Production Capacity and makes the order to deliver by due date exactly
A. Rybalka - One of the best experts on this subject based on the ideXlab platform.
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Russian manufacturing Production Capacity: Primary trends and structural characteristics
Russian Journal of Economics, 2017Co-Authors: Vladimir Salnikov, Dmitry Galimov, Andrey Gnidchenko, Olga Mikheeva, A. RybalkaAbstract:This paper estimates the Capacity utilization rate for Russian manufacturing. We also propose a way to build continuous Production Capacity time series and indicators to describe the basic characteristics of Production Capacity. The data come from form 1-natura-BM of the Russian Federal State Statistics Service. Our findings on the trends and structural characteristics of Production Capacity are shown to be significant for economic policy since we found that in recent years capacities utilization rate in Russian manufacturing industry has been not extremely high and that there is a strong correlation not only between capacities utilization rate and inflation rate but between capacities utilization rate and capacities commissioning intensity as well.
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Production Capacity in Russian manufacturing: Primary trends and structural characteristics
Voprosy Economiki, 2017Co-Authors: Dmitry Galimov, Andrey Gnidchenko, Olga Mikheeva, A. Rybalka, Vladimir SalnikovAbstract:The paper estimates Capacity utilization rate in Russian manufacturing. We also propose the way of building continuous time series of Production Capacity and analytical indicators used to describe the basic characteristics of Production Capacity. The data comes from statistical form No. 1-Natura-BM of Russian Federal State Statistics Service. Our findings about trends and structural characteristics of Production Capacity are shown to be significant for economic policy.
Marie Paule Kieny - One of the best experts on this subject based on the ideXlab platform.
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global Production Capacity of seasonal influenza vaccine in 2011
Vaccine, 2013Co-Authors: Jeffrey Partridge, Marie Paule KienyAbstract:The effectiveness of vaccines to mitigate the impact of annual seasonal influenza epidemics and influenza pandemics has been well documented. However, the steady increase in global Capacity to produce annual seasonal influenza vaccine has not been matched with increased demand, and thus actual vaccine Production. Currently, without a significant increase in demand for seasonal influenza vaccine, global Capacity will be far from able to meet even the essential needs for a monovalent vaccine in the event of a severe influenza pandemic. Global commitment to the development of influenza vaccine Production Capacity was renewed at a consultation leading to the Second Global Action Plan on Influenza Vaccines (GAP) in July 2011. To monitor progress on the GAP, the World Health Organization has carried out periodic surveys of influenza vaccine manufacturers. This latest survey compares current maximum global Capacity and actual Production of seasonal influenza vaccine in 2011 with data from surveys carried out in 2009 and 2010; analyses global influenza Production Capacity in the context of sustainability; and discusses options to increase demand, based on strong evidence of public health benefit.
Guido Torelli - One of the best experts on this subject based on the ideXlab platform.
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the 2015 global Production Capacity of seasonal and pandemic influenza vaccine
Vaccine, 2016Co-Authors: Kenneth A Mclean, Shoshanna Goldin, Claudia Nannei, Erin Sparrow, Guido TorelliAbstract:A global shortage and inequitable access to influenza vaccines has been cause for concern for developing countries who face dire consequences in the event of a pandemic. The Global Action Plan for Influenza Vaccines (GAP) was launched in 2006 to increase global Capacity for influenza vaccine Production to address these concerns. It is widely recognized that well-developed infrastructure to produce seasonal influenza vaccines leads to increased Capacity to produce pandemic influenza vaccines. This article summarizes the results of a survey administered to 44 manufacturers to assess their Production Capacity for seasonal influenza and pandemic influenza vaccine Production. When the GAP was launched in 2006, global Production Capacity for seasonal and pandemic vaccines was estimated to be 500million and 1.5billion doses respectively. Since 2006 there has been a significant increase in Capacity, with the 2013 survey estimating global Capacity at 1.5billion seasonal and 6.2billion pandemic doses. Results of the current survey showed that global seasonal influenza vaccine Production Capacity has decreased since 2013 from 1.504billion doses to 1.467billion doses. However, notwithstanding the overall global decrease in seasonal vaccine Capacity there were notable positive changes in the distribution of Production Capacity with increases noted in South East Asia (SEAR) and the Western Pacific (WPR) regions, albeit on a small scale. Despite a decrease in seasonal Capacity, there has been a global increase of pandemic influenza vaccine Production Capacity from 6.2 billion doses in 2013 to 6.4 billion doses in 2015. This growth can be attributed to a shift towards more quadrivalent vaccine Production and also to increased use of adjuvants. Pandemic influenza vaccine Production Capacity is at its highest recorded levels however challenges remain in maintaining this Capacity and in ensuring access in the event of a pandemic to underserved regions.
