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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Bibliografiske detaljer
Auteurs principaux: Pardalos, Panos M., 1954-, Chaovalitwongse, Wanpracha Art (Auteur), Furman, Kevin C. (Auteur)
Format: Livre numérique
Sprog:Anglais
Udgivet: Boston, MA : Springer US : Springer e-books [20..].
Cham : Springer Nature
Serier:Springer Optimization and Its Applications 30
Fag:
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Accès Université d'Orléans
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Kommentar: Description d'après consultation du 17 novembre 2011
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Optimization and Logistics Challenges in the Enterprise, Texte imprimé, 9780387886169
Indholdsfortegnelse:
  • 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