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For any organization, the effective workforce planning is essential to stay competitive and continue to subsist. Workforce planning is an organized process for identifying the number of employees, their mix and the types of skill sets required to accomplish an organization's strategic goals and objectives. This book focuses on demand analysis (i.e. forecasting the future workforce demand) in workforce planning. Workforce demand forecasting techniques can be classified into two broad categories viz. qualitative and quantitative. Generally, quantitative techniques are used to forecast workforce size and mix, whereas, qualitative techniques forecast competency requirements. This research explores demand analysis in many folds. First, state-of-the-art of workforce analysis techniques are presented and synthesized into a scenario specific forecasting technique(s) selection tree. Afterwards, the Clonal C-fuzzy Decision Tree (C2FDT), a decision support model, is proposed to forecast future workforce demand. C2FDT inherits its properties from fuzzy c-mean clustering and clonal algorithm.
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Sanjay Kumar Shukla is working with Evalueserve, India as a Senior Analyst in Data Analytics. He received his M.S. degree in Advanced Manufacturing and Enterprise Engineering from the University of Texas at San Antonio,San Antonio, USA. His research interest include Statistical Modeling of manufacturing and service systems, Artificial Intelligence.
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DECISION SUPPORT MODELS IN SUPPORTING WORKFORCE FORECASTING
Editore:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844315128
ISBN 13: 9783844315127
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: shukla sanjaySanjay Kumar Shukla is working with Evalueserve, India as a Senior Analyst in Data Analytics. He received his M.S. degree in Advanced Manufacturing and Enterprise Engineering from the University of Texas at San Antonio,S. Codice articolo 5471975
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DECISION SUPPORT MODELS IN SUPPORTING WORKFORCE FORECASTING
Editore:
LAP LAMBERT Academic Publishing Mrz 2011, 2011
ISBN 10: 3844315128
ISBN 13: 9783844315127
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -For any organization, the effective workforce planning is essential to stay competitive and continue to subsist. Workforce planning is an organized process for identifying the number of employees, their mix and the types of skill sets required to accomplish an organization's strategic goals and objectives. This book focuses on demand analysis (i.e. forecasting the future workforce demand) in workforce planning. Workforce demand forecasting techniques can be classified into two broad categories viz. qualitative and quantitative. Generally, quantitative techniques are used to forecast workforce size and mix, whereas, qualitative techniques forecast competency requirements. This research explores demand analysis in many folds. First, state-of-the-art of workforce analysis techniques are presented and synthesized into a scenario specific forecasting technique(s) selection tree. Afterwards, the Clonal C-fuzzy Decision Tree (C2FDT), a decision support model, is proposed to forecast future workforce demand. C2FDT inherits its properties from fuzzy c-mean clustering and clonal algorithm. 84 pp. Englisch. Codice articolo 9783844315127
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DECISION SUPPORT MODELS IN SUPPORTING WORKFORCE FORECASTING : DECISION SUPPORT MODELS IN SUPPORTING WORKFORCE FORECASTING
Editore:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844315128
ISBN 13: 9783844315127
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Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - For any organization, the effective workforce planning is essential to stay competitive and continue to subsist. Workforce planning is an organized process for identifying the number of employees, their mix and the types of skill sets required to accomplish an organization's strategic goals and objectives. This book focuses on demand analysis (i.e. forecasting the future workforce demand) in workforce planning. Workforce demand forecasting techniques can be classified into two broad categories viz. qualitative and quantitative. Generally, quantitative techniques are used to forecast workforce size and mix, whereas, qualitative techniques forecast competency requirements. This research explores demand analysis in many folds. First, state-of-the-art of workforce analysis techniques are presented and synthesized into a scenario specific forecasting technique(s) selection tree. Afterwards, the Clonal C-fuzzy Decision Tree (C2FDT), a decision support model, is proposed to forecast future workforce demand. C2FDT inherits its properties from fuzzy c-mean clustering and clonal algorithm. Codice articolo 9783844315127
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Immagini fornite dal venditore
DECISION SUPPORT MODELS IN SUPPORTING WORKFORCE FORECASTING
Editore:
LAP LAMBERT Academic Publishing Mär 2011, 2011
ISBN 10: 3844315128
ISBN 13: 9783844315127
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Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware -For any organization, the effective workforce planning is essential to stay competitive and continue to subsist. Workforce planning is an organized process for identifying the number of employees, their mix and the types of skill sets required to accomplish an organization''s strategic goals and objectives. This book focuses on demand analysis (i.e. forecasting the future workforce demand) in workforce planning. Workforce demand forecasting techniques can be classified into two broad categories viz. qualitative and quantitative. Generally, quantitative techniques are used to forecast workforce size and mix, whereas, qualitative techniques forecast competency requirements. This research explores demand analysis in many folds. First, state-of-the-art of workforce analysis techniques are presented and synthesized into a scenario specific forecasting technique(s) selection tree. Afterwards, the Clonal C-fuzzy Decision Tree (C2FDT), a decision support model, is proposed to forecast future workforce demand. C2FDT inherits its properties from fuzzy c-mean clustering and clonal algorithm.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch. Codice articolo 9783844315127
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