A Column Generation Approach For Stochastic Optimization Problems: In the applications of a stochastic generalized assignment problem and a shift planning and scheduling problem with uncertain demand - Couverture souple

Wang, Yong Min

 
9783639006421: A Column Generation Approach For Stochastic Optimization Problems: In the applications of a stochastic generalized assignment problem and a shift planning and scheduling problem with uncertain demand
Couverture souple
ISBN 10 : 3639006429 ISBN 13 : 9783639006421
Editeur : VDM Verlag, 2009

Synopsis

Understanding how uncertainty effects the dynamics and behavior of an organization is a critical aspect of system design. Models and methods that take uncertainty into account can lead to significant reductions in cost. This book investigates the use of stochastic optimization models for a generalized assignment problem (GAP) with uncertain resource capacity and a shift planning and scheduling problem (SPSP) with unknown demand. For the GAP, the first stage decisions correspond to an assignment of jobs to agents. Penalties are incurred when the assignments do not permit all demand to be satisfied. For the SPSP, the number of full-time and part-time employees, as well as the number of full- time shifts by type, must be specified before the demand is known. In the second stage, feasibility is addressed by allocating overtime and calling in temporary workers to handle spikes in the mail volume. This book contains the development and analysis of stochastic integer models for the GAP and the SPSP and the estimation of the demand distributions from historical data. To solve the associated stochastic integer problems, the column generation algorithms are developed.

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Présentation de l'éditeur

Understanding how uncertainty effects the dynamics and behavior of an organization is a critical aspect of system design. Models and methods that take uncertainty into account can lead to significant reductions in cost. This book investigates the use of stochastic optimization models for a generalized assignment problem (GAP) with uncertain resource capacity and a shift planning and scheduling problem (SPSP) with unknown demand. For the GAP, the first stage decisions correspond to an assignment of jobs to agents. Penalties are incurred when the assignments do not permit all demand to be satisfied. For the SPSP, the number of full-time and part-time employees, as well as the number of full- time shifts by type, must be specified before the demand is known. In the second stage, feasibility is addressed by allocating overtime and calling in temporary workers to handle spikes in the mail volume. This book contains the development and analysis of stochastic integer models for the GAP and the SPSP and the estimation of the demand distributions from historical data. To solve the associated stochastic integer problems, the column generation algorithms are developed.

Biographie de l'auteur

Yong Min Wang finished his Master of Science degree in Operations Research from the Columbia University, New York, in 2000 and received a Ph.D. degree in Operations Research at the University of Texas at Austin, Texas, in 2006. He worked for Samsung Electronics Co. Ltd. for several years and currently works for American Airlines.

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

Éditeur
VDM Verlag
Date d'édition
2009
Langue
anglais
ISBN 10 
3639006429
ISBN 13 
9783639006421
Reliure
Broché
Nombre de pages
124
Coordonnées du fabricant
non disponible
Personne responsable
non disponible