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Intermittent Demand Forecasting: Context, Methods and Applications

Unknown Author
4.9/5 (22831 ratings)
Description:Intermittent Demand Forecasting - Context, methods and applications covers the entire breadth of work in intermittent demand forecasting and the very latest research findings in the following topics: time series (parametric) methods bootstrapping, both parametric and non-parametric causal models neural networks In order to enable a full understanding of how these methods may be implemented and how they may complement existing operational functions, other chapters include: demand classification (what exactly constitutes intermittence and how it may be distinguished from other patterns in operational terms) measures for assessing intermittent demand forecasting accuracy interactions between forecasting and stock control qualitative considerations (soft managerial issues that should be taken into account) The methods and approaches used in forecasting intermittent demands is relevant to many industries such as the military, aerospace, automotive, and information technology.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Intermittent Demand Forecasting: Context, Methods and Applications. To get started finding Intermittent Demand Forecasting: Context, Methods and Applications, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
1119135303

Intermittent Demand Forecasting: Context, Methods and Applications

Unknown Author
4.4/5 (1290744 ratings)
Description: Intermittent Demand Forecasting - Context, methods and applications covers the entire breadth of work in intermittent demand forecasting and the very latest research findings in the following topics: time series (parametric) methods bootstrapping, both parametric and non-parametric causal models neural networks In order to enable a full understanding of how these methods may be implemented and how they may complement existing operational functions, other chapters include: demand classification (what exactly constitutes intermittence and how it may be distinguished from other patterns in operational terms) measures for assessing intermittent demand forecasting accuracy interactions between forecasting and stock control qualitative considerations (soft managerial issues that should be taken into account) The methods and approaches used in forecasting intermittent demands is relevant to many industries such as the military, aerospace, automotive, and information technology.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Intermittent Demand Forecasting: Context, Methods and Applications. To get started finding Intermittent Demand Forecasting: Context, Methods and Applications, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
1119135303
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