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Springer Distributed Decision Making - Quantitative Analysis Book

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Description

Distributed decision making (DDM) represents a major shift in quantitative decision analysis. This book by Springer offers a unified approach to various fields that often seem disconnected, such as supply chain management, service operations, and managerial accounting. By providing a structured framework, it helps readers navigate complex decision environments. The text covers a wide range of settings, including multi-level one-person decision problems, multi-person antagonistic planning, and leadership situations. It connects diverse topics like multi-level stochastic programming, hierarchical production planning, principal agent theory, negotiations, and contract theory. Designed for those working in economics and business management, this resource uses numerous examples and real-life applications to illustrate its concepts. Whether you are studying hierarchical planning or contract theory, this book provides the necessary theoretical and practical foundation for understanding how decisions are distributed across different levels of an organization.

Key Features

Covers a unified approach to diverse fields including supply chain management, service operations, and managerial accounting.

Explores various decision settings such as multi-level one-person problems and multi-person antagonistic planning.

Includes detailed discussions on leadership situations and hierarchical production planning.

Provides theoretical foundations for principal agent theory, negotiations, and contract theory.

Uses numerous examples and real-life applications to demonstrate quantitative decision analysis concepts.

Integrates multi-level stochastic programming into a cohesive framework for decision makers.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 June 2003
Listed Since
27 December 2006

Barcode

No barcode data available

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