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...

Descrición completa

Gardado en:
Detalles Bibliográficos
Auteurs principaux: Pardalos, Panos M., 1954-, Chaovalitwongse, Wanpracha Art (Auteur), Furman, Kevin C. (Auteur)
Formato: Livre numérique
Idioma:Anglais
Publicado: Boston, MA : Springer US : Springer e-books [20..].
Cham : Springer Nature
Series:Springer Optimization and Its Applications 30
Sujets:
Acceso en liña:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: 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
LEADER 04445nam a22004217a 4500
001 941642
008 090903q2000 xxe ||| |||| 00| 0 eng d
009 PPN136302696
020 |a 9780387886176 
041 0 |a eng 
082 |a 519.6 
084 |a 90B06. 2000 
084 |a 90C06. 2000 
084 |a 90C59. 2000 
100 1 |a Pardalos, Panos M.,  |d 1954- 
245 1 0 |a Optimization and logistics challenges in the enterprise   |c edited by Panos M. Pardalos, Kevin C. Furman, Wanpracha Chaovalitwongse. 
260 |a Boston, MA :  |b Springer US :  |b Springer e-books. 
260 |a Cham :  |b Springer Nature,  |c [20..]. 
490 0 |a Springer Optimization and Its Applications  |v 30  |x 1931-6828 
500 |a Description d'après consultation du 17 novembre 2011 
500 |a Archives Springer e-books (Licence nationale) 
500 |a Archives Springer e-books (Licence nationale) 
504 |a Bibliogr. Index 
505 1 |a 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 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a 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 research area has proven to be useful and applicable to a wide variety of industries; for example, pharmaceutical, chemical, transportation, and shipping, to name a few. This book consists of high quality research results and may serve as a "one-stop shop" to learn about several industrial problems and logistics challenges, and solution techniques using recent advances in computational optimization. This work is intended for practitioners from industry who use techniques from a wide range of fields: mathematical programming, supply chain and logistics management, and process systems and operations engineering. It will also be of value to advanced graduate and PhD students and researchers in operations research, systems engineering, and management science 
650 |a Projet d'entreprise  |x Modèles mathématiques 
650 |a Logistique (gestion) 
700 1 |a Chaovalitwongse, Wanpracha Art.  |4 aut 
700 1 |a Furman, Kevin C.  |4 aut 
776 0 |t Optimization and Logistics Challenges in the Enterprise  |b Texte imprimé  |z 9780387886169 
856 4 |q PDF  |u https://doi.org/10.1007/978-0-387-88617-6  |z Accès sur la plateforme de l'éditeur 
856 4 |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-7WNQ58SZ-B  |z Accès sur la plateforme Istex 
856 4 |5 452349901:747845255  |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/978-0-387-88617-6  |z Accès Université d'Orléans 
856 4 |5 180339901:750862769  |u https://ezproxy.insa-cvl.fr/login?qurl=https://doi.org/10.1007/978-0-387-88617-6  |z Accès INSA CVL 
997 |0 941642  |1 Livre numérique  |a Ressource numérique  |b INSA  |b ENSA  |c 0/Bibliothèque numérique/  |c 1/Bibliothèque numérique/Autre ressource numérique/