03758nam a22005295i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001400153072001700167072002300184072001600207100009000223245015000313250001800463264007500481300006400556336002600620337002600646338003600672347002400708490008800732505072400820520099601544650002702540650002502567650002402592650003102616650002402647650002702671650004502698650004502743650001802788650002902806650001502835700007602850710003402926773002602960776003602986776003603022776003603058830008803094856004603182978-3-031-55927-3DE-He21320251030112255.0cr nn 008mamaa240603s2024    sz |    s    |||| 0|eng d  a97830315592737 a10.1007/978-3-031-55927-32doi 4aTS155-194 7aKJMV2bicssc 7aBUS0870002bisacsh 7aKJMV2thema1 aSaldanha-da-Gama, Francisco.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aFacility Location Under Uncertaintyh[electronic resource] :bModels, Algorithms and Applications /cby Francisco Saldanha-da-Gama, Shuming Wang.  a1st ed. 2024. 1aCham :bSpringer International Publishing :bImprint: Springer,c2024.  aXVI, 534 p. 22 illus., 9 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aInternational Series in Operations Research & Management Science,x2214-7934 ;v3560 aIntroduction -- Principles and Background -- Discrete Facility Location Problems -- Decision Making under Uncertainty: Ingredients for Modeling -- Optimization under Uncertainty -- Modeling Paradigms and Solution Techniques -- Robust Facility Location -- Stochastic Facility Location -- Facility Location with Chance Constraints -- Distributionally Robust Facility Location -- Extended Models -- Location-Inventory Problems -- Facility Location with Routing Decisions -- Hub Location -- Logistics and Supply Chain Management -- Territory Design -- Comprehensive Uncertainty with Applications -- Bilevel Recycling Facility Location -- Multi-Period Hub Location with Time Series -- Data-Driven Robust Production Planning.  aThis textbook provides researchers, post-graduate students, and practitioners with a systematic framework for coping with uncertainty when making facility location decisions. In addition to in-depth coverage of models and solution techniques, application areas are discussed. The book guides readers through the field, showing how to successfully analyze new problems and handle new applications. Initially, the focus is on base models and concepts. Then, gradually, more comprehensive models and more involved solution algorithms are discussed. Throughout the book, two perspectives are intertwined: the paradigm for capturing uncertainty, and the facility location problem at hand. The former includes stochastic programming, robust optimization, chance-constrained programming, and distributional robust optimization; the latter includes classical facility location problems and those arising in many real-world applications such as hub location, location routing, and location inventory. 0aProduction management. 0aOperations research. 0aManagement science. 0aMathematical optimization. 0aBusiness logistics.14aOperations Management.24aOperations Research and Decision Theory.24aOperations Research, Management Science.24aOptimization.24aSupply Chain Management.24aLogistics.1 aWang, Shuming.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303155926608iPrinted edition:z978303155928008iPrinted edition:z9783031559297 0aInternational Series in Operations Research & Management Science,x2214-7934 ;v35640uhttps://doi.org/10.1007/978-3-031-55927-3