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DECISION SUPPORT MODELS IN SUPPORTING WORKFORCE FORECASTING: DECISION SUPPORT MODELS IN SUPPORTING WORKFORCE FORECASTING - Couverture souple

Shukla, Sanjay

 
9783844315127: DECISION SUPPORT MODELS IN SUPPORTING WORKFORCE FORECASTING: DECISION SUPPORT MODELS IN SUPPORTING WORKFORCE FORECASTING
Couverture souple
ISBN 10 : 3844315128 ISBN 13 : 9783844315127
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3844315128
ISBN 13 
9783844315127
Reliure
Broché
Nombre de pages
84
Coordonnées du fabricant
non disponible
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