This monograph provides a review of the optimization concepts that underlie fuzzy programming; multiobjective programming; stochastic programming; and genetic algorithms. The authors then apply these concepts to noncooperative decision making in hierarchical organizations, using multiobjective and two-level linear programming, and then consider cooperative decision making in hierarchical organizations. They then present applications in a work force assignment problem; a transportation problem; and an inventory and production problem in supply chain management. After examining possible future directions in two-level programming, including use of metaheuristics and genetic algorithms to help manage large numbers of integer decision variables, they present conclusions. Presents the latest advances in the new field of multi-level mathematical programming problems in fuzzy, multi-objective, and uncertain environments Provides mathematical models that can be used to solve real-world problems in large organization settings, including corporate, political, economic, and social situations Cutting-edge research that combines for the first time cooperative and non-cooperative game theory INDICE: Introduction.- Optimization concepts and computational methods.- Noncooperative decision making on hierarchical organizations.- Cooperative decision making in hierarchical organizations.- Some applications.- References.- Index.
- ISBN: 978-1-4419-0675-5
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 260
- Fecha Publicación: 01/08/2009
- Nº Volúmenes: 1
- Idioma: Inglés