000 04232nam a22005535i 4500
001 978-0-387-88617-6
003 DE-He213
005 20251006084428.0
007 cr nn 008mamaa
008 100301s2009 xxu| s |||| 0|eng d
020 _a9780387886176
020 _a99780387886176
024 7 _a10.1007/978-0-387-88617-6
_2doi
082 0 4 _a519.6
_223
100 1 _aChaovalitwongse, Wanpracha.
_eeditor.
245 1 0 _aOptimization and Logistics Challenges in the Enterprise
_h[electronic resource] /
_cedited by Wanpracha Chaovalitwongse, Kevin C. Furman, Panos M. Pardalos.
264 1 _aBoston, MA :
_bSpringer US,
_c2009.
300 _bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Optimization and Its Applications,
_x1931-6828 ;
_v30
505 0 _aI 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.
520 _aOptimization 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 0 _aMATHEMATICS.
650 0 _aCOMPUTER SCIENCE
_xMATHEMATICS.
650 0 _aMATHEMATICAL OPTIMIZATION.
650 0 _aINDUSTRIAL ENGINEERING.
650 0 _aECONOMICS.
650 0 _aBUSINESS LOGISTICS.
650 1 4 _aMATHEMATICS.
650 2 4 _aOPTIMIZATION.
650 2 4 _aINDUSTRIAL AND PRODUCTION ENGINEERING.
650 2 4 _aCOMPUTATIONAL MATHEMATICS AND NUMERICAL ANALYSIS.
650 2 4 _aBUSINESS/MANAGEMENT SCIENCE, GENERAL.
650 2 4 _aOPERATIONS RESEARCH/DECISION THEORY.
650 2 4 _aPRODUCTION/LOGISTICS.
700 1 _aFurman, Kevin C.
_eeditor.
700 1 _aPardalos, Panos M.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387886169
830 0 _aSpringer Optimization and Its Applications,
_x1931-6828 ;
_v30
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-88617-6
_zVer el texto completo en las instalaciones del CICY
912 _aZDB-2-SMA
942 _2ddc
_cER
999 _c59388
_d59388