Optimization and Logistics Challenges in the Enterprise

Optimization and Logistics Challenges in the Enterprise begins to answer the question of how to bridge the gap from mathematical modeling and optimization techniques, to practical solutions of enterprise operations. Mathematically distinct from classical supply chain management, this burgeoning rese...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Chaovalitwongse, Wanpracha (Editor ), Furman, Kevin C. (Editor ), Pardalos, Panos M. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Springer Optimization and Its Applications, 30
Temas:
Mathematical optimization.
Industrial engineering.
Production engineering.
Engineering.
Mathematics-Data processing.
Business.
Management science.
Operations research.
Optimization.
Industrial and Production Engineering.
Technology and Engineering.
Computational Mathematics and Numerical Analysis.
Business and Management.
Operations Research and Decision Theory.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • I Process Industry
  • Challenges in Enterprise Wide Optimization for the Process Industries
  • Multi-Product Inventory Logistics Modeling in the Process Industries
  • Modeling and Managing Uncertainty in Process Planning and Scheduling
  • A Relative Robust Optimization Approach for Full Factorial Scenario Design of Data Uncertainty and Ambiguity
  • II Supply Chain and Logistics Design
  • An Enterprise Risk Management Model for Supply Chains
  • Notes On Using Optimization And DSS Techniques to Support Supply Chain And Logistics Operations
  • On the Quadratic Programming Approach for Hub Location Problems
  • Nested Partitions and Its Applications to the Intermodal Hub Location Problem
  • III Supply Chain Operation
  • Event-Time Models for Supply Chain Scheduling
  • A Dynamic and Data-Driven Approach to the News Vendor Problem Under Cyclical Demand
  • Logic-based MultiObjective Optimization for Restoration Planning
  • IV Networking and Transportation
  • The Aircraft Maintenance Routing Problem
  • The Stochastic Vehicle Routing Problem for Minimum Unmet Demand
  • Collaboration in Cargo Transportation
  • Communication Models for a Cooperative Network of Autonomous Agents.

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